AMD Q4 2025 Advanced Micro Devices Inc Earnings Call | AllMind AI Earnings | AllMind AI
Q4 2025 Advanced Micro Devices Inc Earnings Call
Speaker #1: Greetings, and welcome to the AMD fourth quarter and full year 2025 conference call. At this time, all participants are in a listen-only mode. A question-and-answer session will follow the formal presentation.
Operator: Greetings, and welcome to the AMD Fourth Quarter and Full Year 2025 conference call. At this time, all participants are in a listen-only mode. A question and answer session will follow the formal presentation. If anyone should require operator assistance during the conference, please press star zero on your telephone keypad. Please note that this conference is being recorded. I will now turn the conference over to Matt Ramsey, VP of Financial Strategy and IR. Thank you. You may begin.
Operator: Greetings, and welcome to the AMD Fourth Quarter and Full Year 2025 conference call. At this time, all participants are in a listen-only mode. A question and answer session will follow the formal presentation. If anyone should require operator assistance during the conference, please press star zero on your telephone keypad. Please note that this conference is being recorded. I will now turn the conference over to Matt Ramsey, VP of Financial Strategy and IR. Thank you. You may begin.
Speaker #1: If anyone should require operator assistance during the conference, please press star zero on your telephone keypad. And please note that this conference is being recorded.
Speaker #1: I will now turn the conference over to Matt Ramsay, VP Financial Strategy and IR. Thank you. You may begin.
Speaker #2: Thank you, and welcome to AMD's fourth quarter and 2025 full-year financial results conference call. By now, you should have had the opportunity to review a copy of our earnings press release and accompanying slides.
Matt Ramsay: Thank you, and welcome to AMD's Q4 and 2025 full year financial results conference call. By now, you should have had the opportunity to review a copy of our earnings press release and accompanying slides. If you have not had the opportunity to review these materials, they can be found on the investor relations page of amd.com. Today, we will refer primarily to non-GAAP financial measures on the call. The full non-GAAP to GAAP reconciliations are available in today's press release and in the slides posted on our website. Participants in today's conference call are Dr. Lisa Su, our Chair and CEO, and Jean Hu, our Executive Vice President, CFO, and Treasurer. This is a live call and will be replayed via webcast on our website.
Matt Ramsay: Thank you, and welcome to AMD's Q4 and 2025 full year financial results conference call. By now, you should have had the opportunity to review a copy of our earnings press release and accompanying slides. If you have not had the opportunity to review these materials, they can be found on the investor relations page of amd.com. Today, we will refer primarily to non-GAAP financial measures on the call. The full non-GAAP to GAAP reconciliations are available in today's press release and in the slides posted on our website. Participants in today's conference call are Dr. Lisa Su, our Chair and CEO, and Jean Hu, our Executive Vice President, CFO, and Treasurer. This is a live call and will be replayed via webcast on our website.
Speaker #2: If you have not had the opportunity to review these materials, they can be found on the investor relations page of AMD.com. Today, we will refer primarily to non-GAAP financial measures on the call.
Speaker #2: The full press release for today, and the non-GAAP to GAAP reconciliations, are available in the slides posted on our website. Participants in today's conference call are Dr. Lisa Su, our Chair and CEO, and Jean Hu, our Executive Vice President, CFO, and Treasurer.
Speaker #2: This is a live call, and will be replayed via webcast on our website. Before we begin, I would like to note that Mark Papermaster, Executive Vice President and CTO, will present at Morgan Stanley's TMT Conference on Tuesday, March 3rd.
Matt Ramsay: Before we begin, I would like to note that Mark Papermaster, Executive Vice President and CTO, will present at Morgan Stanley's TMT Conference on Tuesday, 3 March. Today's discussions contain forward-looking statements based on our current beliefs, assumptions, and expectations, speak only as of today, and as such, involve risks and uncertainties that could cause actual results to differ materially from our current expectations. Please refer to the cautionary statement in our press release for more information on factors that could cause actual results to differ materially. With that, I will hand the call to Lisa.
Matt Ramsay: Before we begin, I would like to note that Mark Papermaster, Executive Vice President and CTO, will present at Morgan Stanley's TMT Conference on Tuesday, 3 March. Today's discussions contain forward-looking statements based on our current beliefs, assumptions, and expectations, speak only as of today, and as such, involve risks and uncertainties that could cause actual results to differ materially from our current expectations. Please refer to the cautionary statement in our press release for more information on factors that could cause actual results to differ materially. With that, I will hand the call to Lisa.
Speaker #2: Today's discussions contain forward-looking statements based on our current beliefs, assumptions, and expectations; they speak only as of today and, as such, involve risks and uncertainties that could cause actual results to differ materially from our current expectations.
Speaker #2: Please refer to the cautionary statement in factors that could cause actual our press release for more information on results to differ materially. With
Speaker #2: Lisa. Thank you, Matt.
Lisa Su: Thank you, Matt, and good afternoon to all those listening today. 2025 was a defining year for AMD, with record revenue, net income, and free cash flow, driven by broad-based demand for our high-performance computing and AI products. We ended the year with significant momentum, with every part of our business performing very well. We saw demand accelerate across the data center, PC, gaming, and embedded markets, launched the broadest set of leadership products in our history, gained significant server and PC processor share, and rapidly scaled our data center AI business as Instinct and ROCm adoption increased with cloud, enterprise, and AI customers. Looking at our fourth quarter, fourth quarter revenue grew 34% year-over-year to $10.3 billion, led by record EPYC, Ryzen, and Instinct processor sales.
Lisa Su: Thank you, Matt, and good afternoon to all those listening today. 2025 was a defining year for AMD, with record revenue, net income, and free cash flow, driven by broad-based demand for our high-performance computing and AI products. We ended the year with significant momentum, with every part of our business performing very well. We saw demand accelerate across the data center, PC, gaming, and embedded markets, launched the broadest set of leadership products in our history, gained significant server and PC processor share, and rapidly scaled our data center AI business as Instinct and ROCm adoption increased with cloud, enterprise, and AI customers. Looking at our fourth quarter, fourth quarter revenue grew 34% year-over-year to $10.3 billion, led by record EPYC, Ryzen, and Instinct processor sales.
Speaker #3: And good afternoon to all those listening
Speaker #3: today. 2025 was a defining year for AMD, with that, I will hand the call to record revenue, net income, and free cash for our high-performance computing and AI products.
Speaker #3: The year with significant momentum, with every part of our business performing very well. We saw demand accelerate across the data center, PC, gaming, and embedded markets.
Speaker #3: Broadest set of leadership products in our history: gained significant server and PC processor share, and rapidly scaled our data center AI business as Instinct and ROCm adoption increased with cloud, enterprise, and AI customers.
Speaker #3: Looking at our fourth quarter, fourth quarter revenue grew 34% year over year to $10.3 billion, led by record EPYC, Ryzen, and Instinct processor sales.
Speaker #3: Net income increased 42% to a record $2.5 billion, and free cash flow nearly doubled year over year to a record $2.1 revenue grew 34% to $34.6 billion, and we added more than $7.6 billion of data center segment and client revenue.
Lisa Su: Net income increased 42% to a record $2.5 billion, and free cash flow nearly doubled year-over-year to a record $2.1 billion. For the full year, revenue grew 34% to $34.6 billion, and we added more than $7.6 billion of data center segment and client revenue. Turning to our fourth quarter segment results, data center segment revenue increased 39% year-over-year to a record $5.4 billion, led by accelerating Instinct MI350 series GPU deployments and server share gains. In server, adoption of 5th-gen EPYC Turin CPUs accelerated in the quarter, accounting for more than half of the total server revenue. 4th-gen EPYC sales were also robust, as our prior generation CPU continued to deliver superior performance and TCO compared to competitive offerings across a wide range of workloads.
Lisa Su: Net income increased 42% to a record $2.5 billion, and free cash flow nearly doubled year-over-year to a record $2.1 billion. For the full year, revenue grew 34% to $34.6 billion, and we added more than $7.6 billion of data center segment and client revenue. Turning to our fourth quarter segment results, data center segment revenue increased 39% year-over-year to a record $5.4 billion, led by accelerating Instinct MI350 series GPU deployments and server share gains. In server, adoption of 5th-gen EPYC Turin CPUs accelerated in the quarter, accounting for more than half of the total server revenue. 4th-gen EPYC sales were also robust, as our prior generation CPU continued to deliver superior performance and TCO compared to competitive offerings across a wide range of workloads.
Speaker #3: Turning to our fourth quarter segment billion. results, data center segment revenue increased 39% year over year to a record $5.4 billion, led by accelerating Instinct MI350 series For the full year, GPU deployments and server share gains.
Speaker #3: server, adoption of In fifth-gen EPYC turned CPUs accelerated in the quarter, accounting for more than half of the total server revenue. Fourth-gen EPYC sales were also robust, as our continued to deliver superior performance and TCO compared to competitive offerings across a wide range of workloads.
Speaker #3: prior generation CPUs As a result, we had record server CPU sales to both cloud and enterprise customers in the quarter, and exited the year with record hyperscaler demand was very strong, share.
Lisa Su: As a result, we had record server CPU sales to both cloud and enterprise customers in the quarter and exited the year with record share. In cloud, hyperscaler demand was very strong as North American customers expanded deployments. EPYC-powered public cloud offerings grew significantly in the quarter, with AWS, Google, and others launching more than 230 new AMD instances. Hyperscalers launched more than 500 AMD-based instances in 2025, increasing the number of EPYC cloud instances more than 50% year-over-year to nearly 1600. In the enterprise, we are seeing a meaningful shift in EPYC adoption, driven by our leadership performance, expanded platform availability, broad software enablement, and increased go-to-market programs. The leading server providers now offer more than 3000 solutions, powered by fourth- and fifth-gen EPYC CPUs, that are optimized for all major enterprise workloads.
Lisa Su: As a result, we had record server CPU sales to both cloud and enterprise customers in the quarter and exited the year with record share. In cloud, hyperscaler demand was very strong as North American customers expanded deployments. EPYC-powered public cloud offerings grew significantly in the quarter, with AWS, Google, and others launching more than 230 new AMD instances. Hyperscalers launched more than 500 AMD-based instances in 2025, increasing the number of EPYC cloud instances more than 50% year-over-year to nearly 1600. In the enterprise, we are seeing a meaningful shift in EPYC adoption, driven by our leadership performance, expanded platform availability, broad software enablement, and increased go-to-market programs. The leading server providers now offer more than 3000 solutions, powered by fourth- and fifth-gen EPYC CPUs, that are optimized for all major enterprise workloads.
Speaker #3: In cloud, as North American customers expanded deployments. EPYC-powered public cloud offerings grew significantly in the quarter, with AWS, Google, and others launching more than 230 new AMD instances.
Speaker #3: Hyperscalers launched more than 500 AMD-based instances in 2025, increasing the number of EPYC cloud instances more than 50% year over year to nearly 1,600.
Speaker #3: the enterprise, we are seeing a In meaningful shift in EPYC adoption driven by our leadership performance, expanded platform availability, broad software enablement, and increased go-to-market programs.
Speaker #3: The leading server providers now offer more than 3,000 fifth-gen EPYC CPUs, that are solutions powered by fourth and optimized for all major enterprise workloads.
Speaker #3: As a result, the number of large businesses deploying EPYC on-prem more than doubled in 2025, and we exited the year with record server sell-through.
Lisa Su: As a result, the number of large businesses deploying EPYC on-prem more than doubled in 2025, and we exited the year with record server sell-through. Looking ahead, server CPU demand remains very strong. Hyperscalers are expanding their infrastructure to meet growing demand for cloud services and AI, while enterprises are modernizing their data centers to ensure they have the right compute required to enable new AI workflows. Against this backdrop, EPYC has become the processor of choice for the modern data center, delivering leadership, performance, efficiency, and TCO. Our next generation Venice CPU extends our leadership across each of these metrics. Customer pull for Venice is very high, with engagements underway to support large-scale cloud deployments and broad OEM platform availability when Venice launches later this year.
Lisa Su: As a result, the number of large businesses deploying EPYC on-prem more than doubled in 2025, and we exited the year with record server sell-through. Looking ahead, server CPU demand remains very strong. Hyperscalers are expanding their infrastructure to meet growing demand for cloud services and AI, while enterprises are modernizing their data centers to ensure they have the right compute required to enable new AI workflows. Against this backdrop, EPYC has become the processor of choice for the modern data center, delivering leadership, performance, efficiency, and TCO. Our next generation Venice CPU extends our leadership across each of these metrics. Customer pull for Venice is very high, with engagements underway to support large-scale cloud deployments and broad OEM platform availability when Venice launches later this year.
Speaker #3: Looking ahead, server CPU demand remains very strong. Hyperscalers are expanding their infrastructure to meet growing demand for cloud services and AI, while enterprises are modernizing their data centers to ensure they have the right compute required to enable new AI workflows.
Speaker #3: Against this backdrop, EPYC has become the processor of choice for the modern data center, delivering leadership performance, efficiency, and TCO. Our next generation Venice CPU extends our leadership across each of these metrics.
Speaker #3: Customer pull for Venice is very high, with engagements underway to support large-scale cloud deployments and broad OEM platform availability when Venice launches later this year.
Speaker #3: Turning to our data center AI business, revenue in the fourth quarter, led by the we delivered record Instinct GPU ramp of MI350 series shipments.
Lisa Su: Turning to our data center AI business, we delivered record Instinct GPU revenue in Q4, led by the ramp of MI350 series shipments. We also had some revenue from MI308 sales to customers in China. Instinct adoption broadened in the quarter. Today, eight of the top 10 AI companies use Instinct to power production workloads across a growing range of use cases. With the MI350 series, we are entering the next phase of Instinct adoption, expanding our footprint with existing partners and adding new customers. In Q4, hyperscalers expanded MI350 series availability. Leading AI companies scaled their deployments to support additional workloads, and multiple NeoCloud providers launched MI350 series offerings that deliver on-demand access to Instinct infrastructure in the cloud.
Lisa Su: Turning to our data center AI business, we delivered record Instinct GPU revenue in Q4, led by the ramp of MI350 series shipments. We also had some revenue from MI308 sales to customers in China. Instinct adoption broadened in the quarter. Today, eight of the top 10 AI companies use Instinct to power production workloads across a growing range of use cases. With the MI350 series, we are entering the next phase of Instinct adoption, expanding our footprint with existing partners and adding new customers. In Q4, hyperscalers expanded MI350 series availability. Leading AI companies scaled their deployments to support additional workloads, and multiple NeoCloud providers launched MI350 series offerings that deliver on-demand access to Instinct infrastructure in the cloud.
Speaker #3: We also had some revenue from MI300 sales to customers in China. Instinct adoption broadened in the quarter. Today, eight of the top 10 AI companies use Instinct to power production workloads across a growing range of use cases.
Speaker #3: With the MI350 series, we are entering the next phase of Instinct adoption, expanding our footprint with existing partners and adding new customers. In the fourth quarter, hyperscalers expanded MI350 series availability, leading AI companies scaled their deployments to support additional workloads, and multiple NeoCloud providers launched MI350 series offerings that deliver on-demand access to Instinct infrastructure in the cloud.
Speaker #3: Turning to our AI software stack, we expanded the ROCm ecosystem in the fourth quarter, enabling customers to deploy Instinct faster and with higher performance across a broader range of workloads.
Lisa Su: Turning to our AI software stack, we expanded the ROCm ecosystem in the fourth quarter, enabling customers to deploy Instinct faster and with higher performance across a broader range of workloads. Millions of large language and multimodal models run out of the box on AMD, with the leading models launching with day zero support for Instinct GPUs. This capability highlights our rapidly expanding open source community enablement, including new upstream integration of AMD GPUs in vLLM, one of the most widely used inference engines. To drive Instinct adoption with industry-specific use cases, we're also adding support for domain-specific models in key verticals. As one example, in healthcare, we added ROCm support for the leading medical imaging framework to enable developers to train and deploy highly performant deep learning models on Instinct GPUs.
Lisa Su: Turning to our AI software stack, we expanded the ROCm ecosystem in the fourth quarter, enabling customers to deploy Instinct faster and with higher performance across a broader range of workloads. Millions of large language and multimodal models run out of the box on AMD, with the leading models launching with day zero support for Instinct GPUs. This capability highlights our rapidly expanding open source community enablement, including new upstream integration of AMD GPUs in vLLM, one of the most widely used inference engines. To drive Instinct adoption with industry-specific use cases, we're also adding support for domain-specific models in key verticals. As one example, in healthcare, we added ROCm support for the leading medical imaging framework to enable developers to train and deploy highly performant deep learning models on Instinct GPUs.
Speaker #3: Millions of large language and multimodal models run out of the box on AMD, with the leading models launching with day zero support for Instinct GPUs.
Speaker #3: This capability highlights our rapidly expanding open-source community enablement, including new upstream integration of AMD GPUs in VLLM, one of the most widely used inference engines.
Speaker #3: To drive Instinct adoption with industry-specific use cases, we are also adding support for domain-specific models in key verticals. As one example, in healthcare, we added ROCm support for the leading medical imaging framework to enable developers to train and deploy highly performant deep learning models on Instinct GPUs.
Speaker #3: For large businesses, we introduced our enterprise AI suite, a full-stack software platform with enterprise-grade tools, inference microservices, and solutions blueprints designed to simplify and accelerate production deployments at scale.
Lisa Su: For large businesses, we introduced our enterprise AI suite, a full stack software platform with enterprise-grade tools, inference microservices, and solutions blueprints designed to simplify and accelerate production deployments at scale. We also announced a strategic partnership with Tata Consultancy Services to co-develop industry-specific AI solutions and help customers deploy AI across their operations. Looking ahead, customer engagements for our next-gen MI400 series and Helios platform continue expanding. In addition to our multi-generation partnership with OpenAI to deploy 6 gigawatts of Instinct GPUs, we are in active discussions with other customers on at-scale, multiyear deployments, starting with Helios and MI450 later this year. With the MI400 series, we are also expanding our portfolio to address the full range of cloud, HPC, and enterprise AI workloads.
Lisa Su: For large businesses, we introduced our enterprise AI suite, a full stack software platform with enterprise-grade tools, inference microservices, and solutions blueprints designed to simplify and accelerate production deployments at scale. We also announced a strategic partnership with Tata Consultancy Services to co-develop industry-specific AI solutions and help customers deploy AI across their operations. Looking ahead, customer engagements for our next-gen MI400 series and Helios platform continue expanding. In addition to our multi-generation partnership with OpenAI to deploy 6 gigawatts of Instinct GPUs, we are in active discussions with other customers on at-scale, multiyear deployments, starting with Helios and MI450 later this year. With the MI400 series, we are also expanding our portfolio to address the full range of cloud, HPC, and enterprise AI workloads.
Speaker #3: We also announced a strategic partnership with Tata Consultancy Services to co-develop industry-specific AI solutions and help customers deploy AI across their operations. Looking ahead, customer engagements for our next-gen MI400 series and Helios platform continue expanding.
Speaker #3: In addition to our multi-generation partnership with OpenAI to deploy 6 gigawatts of Instinct GPUs, we are in active discussions with other customers on at-scale, multi-year deployments starting with Helios and MI450 later this year.
Speaker #3: With the MI400 series, we are also expanding our portfolio to address the full range of cloud, HPC, and enterprise AI workloads. This includes MI455x and Helios for AI superclusters, MI430x for HPC and sovereign AI, and MI440x servers for enterprise customers requiring leadership training and inference performance in a compact 8 GPU solution that integrates easily into existing infrastructure.
Lisa Su: This includes MI455X and Helios for AI superclusters, MI430X for HPC and sovereign AI, and MI440X servers for enterprise customers requiring leadership, training, and inference performance in a compact AGPU solution that integrates easily into existing infrastructure. Multiple OEMs publicly announced plans to launch Helios Systems in 2026, with deep engineering engagement underway to support smooth production ramps. In December, HPE announced that they will offer Helios racks with purpose-built HPE Juniper Ethernet switches and optimized software for high-bandwidth scale-up networking. In January, Lenovo announced plans to offer Helios racks. MI430X adoption also grew in the quarter, with new exascale class supercomputers announced by GenCI in France and HLRS in Germany. Looking further ahead, development of our next generation MI500 series is well underway. MI500 is powered by our CDNA 6 architecture, built on advanced 2 nm process technology and features high speed HBM4E memory.
Lisa Su: This includes MI455X and Helios for AI superclusters, MI430X for HPC and sovereign AI, and MI440X servers for enterprise customers requiring leadership, training, and inference performance in a compact AGPU solution that integrates easily into existing infrastructure. Multiple OEMs publicly announced plans to launch Helios Systems in 2026, with deep engineering engagement underway to support smooth production ramps. In December, HPE announced that they will offer Helios racks with purpose-built HPE Juniper Ethernet switches and optimized software for high-bandwidth scale-up networking. In January, Lenovo announced plans to offer Helios racks. MI430X adoption also grew in the quarter, with new exascale class supercomputers announced by GenCI in France and HLRS in Germany. Looking further ahead, development of our next generation MI500 series is well underway. MI500 is powered by our CDNA 6 architecture, built on advanced 2 nm process technology and features high speed HBM4E memory.
Speaker #3: Multiple OEMs publicly announced plans to launch Helios systems in 2026, with deep engineering engagement underway to support smooth deployment. In December, HPE announced that they will begin production ramps.
Speaker #3: In offer Helios racks with purpose-built HPE Juniper Ethernet switches and optimized software for high bandwidth scale-up networking. And in January, Lenovo announced plans to offer Helios racks.
Speaker #3: MI300x adoption also grew in the quarter, with new exascale-class supercomputers announced by GENCI in France and HLRS in Germany. Looking further ahead, development of our next-generation MI500 series is well underway.
Speaker #3: MI500 is powered by our CDNA 6 architecture, built on advanced 2-nanometer process technology, and features high-speed HBM4e memory. We are on track to launch MI500 in 2027 and expect MI500 to deliver another major leap in AI performance to power the next wave of large-scale multimodal models.
Lisa Su: We are on track to launch MI500 in 2027 and expect MI500 to deliver another major leap in AI performance to power the next wave of large-scale multimodal models. In summary, our AI business is accelerating, with the launch of MI400 series and Helios representing a major inflection point for the business as we deliver leadership, performance, and TCO at the chip, compute tray, and rack level. Based on the strength of our EPYC and Instinct roadmaps, we are well positioned to grow data center segment revenue by more than 60% annually over the next 3 to 5 years and scale our AI business to tens of billions in annual revenue in 2027. Turning to clients and gaming. Segment revenue increased 37% year-over-year to $3.9 billion. In clients, our PC processor business performed exceptionally well.
Lisa Su: We are on track to launch MI500 in 2027 and expect MI500 to deliver another major leap in AI performance to power the next wave of large-scale multimodal models. In summary, our AI business is accelerating, with the launch of MI400 series and Helios representing a major inflection point for the business as we deliver leadership, performance, and TCO at the chip, compute tray, and rack level. Based on the strength of our EPYC and Instinct roadmaps, we are well positioned to grow data center segment revenue by more than 60% annually over the next 3 to 5 years and scale our AI business to tens of billions in annual revenue in 2027. Turning to clients and gaming. Segment revenue increased 37% year-over-year to $3.9 billion. In clients, our PC processor business performed exceptionally well.
Speaker #3: In summary, our AI business is accelerating, with the launch of the MI400 series and Helios representing a major inflection point for the business as we deliver leadership performance and TCO at the chip, compute tray, and rack level.
Speaker #3: Based on the strength of our EPYC and Instinct roadmaps, we are well positioned to grow data center segment revenue by more than 60% annually over the next three to five years and scale our AI business to tens of billions in annual revenue in 2027.
Speaker #3: Turning to client and gaming, segment revenue increased 37% year over year to $3.9 billion. In client, our PC processor business performed exceptionally well. Revenue increased 34% year over year to a record $3.1 billion, driven by increased demand for multiple generations of Ryzen desktop and mobile CPUs.
Lisa Su: Revenue increased 34% year-over-year to a record $3.1 billion, driven by increased demand for multiple generations of Ryzen desktop and mobile CPUs. Desktop CPU sales set a record for the fourth consecutive quarter. Ryzen CPUs topped the bestseller lists at major global retailers and e-tailers throughout the holiday period, with strong demand across all price points in every region, driving record desktop channel sell-out. In mobile, strong demand for AMD-powered notebooks drove record Ryzen PC sell-through in the quarter. That momentum extended into commercial PCs, where Ryzen adoption accelerated as we established a new long-term growth engine for our client business. Sell-through of Ryzen CPUs for commercial notebooks and desktops grew by more than 40% year-over-year in Q4, and we closed large wins with major telecom, financial services, aerospace, automotive, energy, and technology customers.
Lisa Su: Revenue increased 34% year-over-year to a record $3.1 billion, driven by increased demand for multiple generations of Ryzen desktop and mobile CPUs. Desktop CPU sales set a record for the fourth consecutive quarter. Ryzen CPUs topped the bestseller lists at major global retailers and e-tailers throughout the holiday period, with strong demand across all price points in every region, driving record desktop channel sell-out. In mobile, strong demand for AMD-powered notebooks drove record Ryzen PC sell-through in the quarter. That momentum extended into commercial PCs, where Ryzen adoption accelerated as we established a new long-term growth engine for our client business. Sell-through of Ryzen CPUs for commercial notebooks and desktops grew by more than 40% year-over-year in Q4, and we closed large wins with major telecom, financial services, aerospace, automotive, energy, and technology customers.
Speaker #3: Desktop CPU sales set a record for the fourth consecutive quarter. Ryzen CPUs topped the best-seller lists at major global retailers and e-tailers throughout the holiday period, with strong demand across all price points in every region, driving record desktop channel sellout.
Speaker #3: In mobile, strong demand for AMD-powered notebooks drove record Ryzen PC sell-through in the quarter. That momentum extended into commercial PCs, where Ryzen adoption accelerated as we established a new long-term growth engine for our client business.
Speaker #3: Sell-through of Ryzen CPUs for commercial notebooks and desktops grew by more than 40% year over year in the fourth quarter, and we closed large wins with major telecom, financial services, aerospace, automotive, energy, and technology customers.
Speaker #3: At CES, we expanded our Ryzen portfolio with CPUs that further extend our performance leadership. Our new Ryzen AI 400 mobile processors deliver significantly faster content creation and multitasking performance than the competition.
Lisa Su: At CES, we expanded our Ryzen portfolio with CPUs that further extend our performance leadership. Our new Ryzen AI 400 mobile processors deliver significantly faster content creation and multitasking performance than the competition. Notebooks powered by Ryzen AI 400 are already available, with the broadest lineup of AMD-based consumer, and commercial AI PCs set to launch throughout the year. We also introduced our Ryzen AI Halo platform, the world's smallest AI development system, featuring our highest-end Ryzen AI Max processor with 128 GB of unified memory that can run models with up to 200 billion parameters locally. In gaming, revenue increased 50% year-over-year to $843 million. Semi-custom sales increased year-over-year and declined sequentially, as expected.
Lisa Su: At CES, we expanded our Ryzen portfolio with CPUs that further extend our performance leadership. Our new Ryzen AI 400 mobile processors deliver significantly faster content creation and multitasking performance than the competition. Notebooks powered by Ryzen AI 400 are already available, with the broadest lineup of AMD-based consumer, and commercial AI PCs set to launch throughout the year. We also introduced our Ryzen AI Halo platform, the world's smallest AI development system, featuring our highest-end Ryzen AI Max processor with 128 GB of unified memory that can run models with up to 200 billion parameters locally. In gaming, revenue increased 50% year-over-year to $843 million. Semi-custom sales increased year-over-year and declined sequentially, as expected.
Speaker #3: Notebooks powered by Ryzen AI 400 are already available, with the broadest lineup of AMD-based consumer and commercial AI PCs set to launch throughout the year.
Speaker #3: We also platform the world's smallest AI development system, featuring our introduced Ryzen AI Halo, highest-end Ryzen AI Max processor, with 128 gigabytes of unified memory that can run models with up to 200 billion parameters locally.
Speaker #3: In gaming, revenue increased 50% year over year to $843 million. Semi-custom sales increased year over year and declined 2026, we expect semi-custom SoC annual revenue to decline by a significant double-digit percentage as we enter the seventh year of what has been a very strong console cycle.
Lisa Su: For 2026, we expect semi-custom SOC annual revenue to decline by a significant double-digit percentage as we enter the seventh year of what has been a very strong console cycle. From a product standpoint, Valve is on track to begin shipping its AMD-powered Steam Machine early this year, and development of Microsoft's next-gen Xbox, featuring an AMD semi-custom SOC, is progressing well to support a launch in 2027. Gaming GPU revenue also increased year-over-year, with higher channel sell-out, driven by demand throughout the holiday sales period for our latest generation Radeon RX 9000 series GPUs. We also launched FSR 4 Redstone in the quarter, our most advanced AI-powered upscaling technology, delivering higher image quality and smoother frame rates for gamers.
Lisa Su: For 2026, we expect semi-custom SOC annual revenue to decline by a significant double-digit percentage as we enter the seventh year of what has been a very strong console cycle. From a product standpoint, Valve is on track to begin shipping its AMD-powered Steam Machine early this year, and development of Microsoft's next-gen Xbox, featuring an AMD semi-custom SOC, is progressing well to support a launch in 2027. Gaming GPU revenue also increased year-over-year, with higher channel sell-out, driven by demand throughout the holiday sales period for our latest generation Radeon RX 9000 series GPUs. We also launched FSR 4 Redstone in the quarter, our most advanced AI-powered upscaling technology, delivering higher image quality and smoother frame rates for gamers.
Speaker #3: From a product standpoint, Valve is on track to begin shipping its AMD-powered Steam Machine early this year, and development of Microsoft's next-gen Xbox featuring an AMD semi-custom SoC is progressing well to support a launch in 2027.
Speaker #3: Gaming GPU revenue also increased year over year, with higher channel sellout driven by demand throughout the holiday sales period for our latest generation Radeon RX 9000 series GPUs.
Speaker #3: We also launched FSR 4 Redstone in the quarter, our most advanced AI-powered upscaling technology, delivering higher image quality and smoother frame rates for gamers.
Speaker #3: Turning to our Embedded segment, revenue increased 3% year over year to $950 million, led by strength with test and measurement and aerospace customers, and growing adoption of our embedded x86 CPUs.
Lisa Su: Turning to our embedded segment, revenue increased 3% year-over-year to $950 million, led by strength with test and measurement, and aerospace customers, and growing adoption of our embedded x86 CPUs. Channel sell-through accelerated in the quarter as end customer demand improved across several end markets, led by test, measurement, and emulation. Design win momentum remains one of the clearest indicators of long-term growth for our embedded business, and we delivered another record year. We closed $17 billion in design wins in 2025, up nearly 20% year-over-year, as we've now won more than $50 billion of embedded designs since acquiring Xilinx. We also strengthened our embedded portfolio in the quarter. We began production of our Versal AI Edge Gen 2 SoCs for low latency inference workloads and started shipping our highest-end Spartan UltraScale+ devices for cost-optimized applications.
Lisa Su: Turning to our embedded segment, revenue increased 3% year-over-year to $950 million, led by strength with test and measurement, and aerospace customers, and growing adoption of our embedded x86 CPUs. Channel sell-through accelerated in the quarter as end customer demand improved across several end markets, led by test, measurement, and emulation. Design win momentum remains one of the clearest indicators of long-term growth for our embedded business, and we delivered another record year. We closed $17 billion in design wins in 2025, up nearly 20% year-over-year, as we've now won more than $50 billion of embedded designs since acquiring Xilinx. We also strengthened our embedded portfolio in the quarter. We began production of our Versal AI Edge Gen 2 SoCs for low latency inference workloads and started shipping our highest-end Spartan UltraScale+ devices for cost-optimized applications.
Speaker #3: Channel sell-through accelerated in the quarter as end-customer demand improved across several end markets, led by test, measurement, and emulation. Design win momentum remains one of the clearest indicators of long-term growth for our embedded business, and we delivered another record year.
Speaker #3: We closed $17 billion in design wins in 2025, up nearly 20% year over year, as we've now won more than $50 billion of embedded designs since acquiring Xilinx.
Speaker #3: We also strengthened our embedded portfolio in the quarter. We began production of our Versal AI Edge Gen 2 SoCs for low-latency inference workloads, and started shipping our highest-end Spartan UltraScale+ devices for cost-optimized applications.
Speaker #3: We also launched new embedded CPUs, including our EPYC 2005 series for network security and industrial edge applications, Ryzen P100 series for in-vehicle infotainment and industrial systems, and Ryzen X100 series for physical AI and autonomous platforms.
Lisa Su: We also launched new embedded CPUs, including our EPYC 2005 series for network security and industrial edge applications, Ryzen P100 series for in-vehicle infotainment and industrial systems, and Ryzen X100 series for physical AI and autonomous platforms. In summary, 2025 was an excellent year for AMD, marking the start of a new growth trajectory for the company. We are entering a multi-year demand super cycle for high performance and AI computing that is creating significant growth opportunities across each of our businesses. AMD is well positioned to capture that growth, with highly differentiated products, a proven execution engine, deep customer partnerships, and significant operational scale. And as AI reshapes the compute landscape, we have the breadth of solutions and partnerships required for end-to-end leadership, from Helios and the cloud for at-scale training and inference, to an expanded Instinct portfolio for sovereign, supercomputing, and enterprise AI deployment.
Lisa Su: We also launched new embedded CPUs, including our EPYC 2005 series for network security and industrial edge applications, Ryzen P100 series for in-vehicle infotainment and industrial systems, and Ryzen X100 series for physical AI and autonomous platforms. In summary, 2025 was an excellent year for AMD, marking the start of a new growth trajectory for the company. We are entering a multi-year demand super cycle for high performance and AI computing that is creating significant growth opportunities across each of our businesses. AMD is well positioned to capture that growth, with highly differentiated products, a proven execution engine, deep customer partnerships, and significant operational scale. And as AI reshapes the compute landscape, we have the breadth of solutions and partnerships required for end-to-end leadership, from Helios and the cloud for at-scale training and inference, to an expanded Instinct portfolio for sovereign, supercomputing, and enterprise AI deployment.
Speaker #3: In summary, 2025 was an excellent year for AMD, marking the start of a new growth trajectory for the company. We are entering a multi-year demand supercycle for high-performance and AI computing that is opportunities across each of our creating significant growth businesses.
Speaker #3: AMD is well positioned to capture that growth, with highly differentiated products, a proven execution engine, deep customer partnerships, and significant operational scale. And as AI reshapes the compute landscape, we have the breadth of solutions and partnerships required for end-to-end leadership.
Speaker #3: From Helios in the cloud for at-scale training and inference, to an expanded Instinct portfolio for sovereign supercomputing and enterprise AI deployment. At the same time, demand for EPYC CPUs is surging as high-performance CPUs are required for agentic and emerging AI workloads to power head nodes and run parallel tasks alongside GPUs.
Lisa Su: At the same time, demand for EPYC CPUs is surging as agentic and emerging AI workloads require high-performance CPUs to power head nodes and run parallel tasks alongside GPUs. And at the edge and in PCs, where AI adoption is just beginning, our industry-leading Ryzen and embedded processors are powering real-time on-device AI. As a result, we expect significant top line and bottom line growth in 2026, led by increased adoption of EPYC and Instinct, continued client share gains, and a return to growth in our embedded segment.
Lisa Su: At the same time, demand for EPYC CPUs is surging as agentic and emerging AI workloads require high-performance CPUs to power head nodes and run parallel tasks alongside GPUs. And at the edge and in PCs, where AI adoption is just beginning, our industry-leading Ryzen and embedded processors are powering real-time on-device AI. As a result, we expect significant top line and bottom line growth in 2026, led by increased adoption of EPYC and Instinct, continued client share gains, and a return to growth in our embedded segment.
Speaker #3: And at the edge and in PCs, where AI adoption is just beginning, our industry-leading Ryzen and embedded processors are powering real-time on-device AI. As a result, we expect significant top-line and bottom-line growth in 2026, led by increased adoption of EPYC and Instinct, continued client share gains, and a return to growth in our embedded segment.
Speaker #3: Looking further ahead, we see a clear path to achieve the ambitious targets we laid out at our Financial Analyst Day last November, including growing revenue at greater than 35% CAGR over the next three to five years, significantly expanding operating margins, and generating annual EPS of more than $20 in the strategic timeframe, driven by growth in all of our segments and the rapid scaling of our data center AI business.
Lisa Su: Looking further ahead, we see a clear path to achieve the ambitious targets we laid out at our Financial Analyst Day last November, including growing revenue at greater than 35% CAGR over the next 3 to 5 years, significantly expanding operating margins, and generating annual EPS of more than $20 in the strategic time frame, driven by growth in all of our segments and the rapid scaling of our data center AI business. Now I'll turn the call over to Jean to provide additional color on our Q4 results and full year results. Jean?
Lisa Su: Looking further ahead, we see a clear path to achieve the ambitious targets we laid out at our Financial Analyst Day last November, including growing revenue at greater than 35% CAGR over the next 3 to 5 years, significantly expanding operating margins, and generating annual EPS of more than $20 in the strategic time frame, driven by growth in all of our segments and the rapid scaling of our data center AI business. Now I'll turn the call over to Jean to provide additional color on our Q4 results and full year results. Jean?
Speaker #3: Now I'll turn the call over to Jean to provide additional color on our fourth-quarter results and full-year results.
Speaker #3: Jean? Thank you, Lisa, and good afternoon.
Jean Hu: Thank you, Lisa, and good afternoon, everyone. I'll start with the review for our financial results and then provide our current outlook for Q1 of fiscal 2026.
Jean Hu: Thank you, Lisa, and good afternoon, everyone. I'll start with the review for our financial results and then provide our current outlook for Q1 of fiscal 2026.
Speaker #2: Everyone, I'll start with a review of our financial results and then provide our current outlook for the first quarter of fiscal 2026. AMD executed very well in 2025, delivering record revenue of $34.6 billion, up 34% year over year, driven by 32% growth in our Data Center segment and 51% growth in our Client and Gaming segment.
Jean Hu: ... AMD executed very well in 2025, delivering record revenue of $34.6 billion, up 34% year-over-year, driven by 32% growth in our data center segment and a 51% growth in our client and the gaming segment. Gross margin was 52%, and we delivered record earnings per share of $4.17, up 26% year-over-year, while continuing to invest aggressively in AI and the data center to support our long-term growth. For Q4 2025, revenue was a record $10.3 billion, growing 34% year-over-year, driven by strong growth in the data center and the client and the gaming segments, including approximately $390 million in revenue from MI308 sales to China, which was not included in our fourth quarter guidance.
Jean Hu: ... AMD executed very well in 2025, delivering record revenue of $34.6 billion, up 34% year-over-year, driven by 32% growth in our data center segment and a 51% growth in our client and the gaming segment. Gross margin was 52%, and we delivered record earnings per share of $4.17, up 26% year-over-year, while continuing to invest aggressively in AI and the data center to support our long-term growth. For Q4 2025, revenue was a record $10.3 billion, growing 34% year-over-year, driven by strong growth in the data center and the client and the gaming segments, including approximately $390 million in revenue from MI308 sales to China, which was not included in our fourth quarter guidance.
Speaker #2: Gross margin was 52%, and we delivered record earnings per share of $4.17, up 26% year over year while continuing to invest aggressively in AI and the data center to support our long-term growth.
Speaker #2: For the fourth quarter of 2025, revenue was record $10.3 billion, growing 34% year over year, driven by strong growth in the data center and client gaming segments.
Speaker #2: Including approximately $390 million in revenue from MI300 sales to China, which was not included in our fourth-quarter guidance. Revenue was up 11% sequentially, primarily driven by continued strong growth in data center from both server and data center AI business.
Jean Hu: Revenue was up 11% sequentially, primarily driven by continued strong growth in data center from both the server and data center AI business, as well as a return to year-over-year growth in the embedded segment. Gross margin was 57%, up 290 basis points year-over-year. We benefited from the release of $360 million in previously written down MI308 inventory reserves. Excluding the inventory reserve release and the MI308 revenue from China, gross margin would have been approximately 55%, up 80 basis points year-over-year, driven by favorable product mix. Operating expenses were $3 billion, an increase of 42% year-over-year as we continue to invest in R&D go-to-market activities to support our AI roadmap and long-term growth opportunities, as well as the higher employee performance-based incentives. Operating income was a record $2.9 billion, representing a 28% operating margin.
Jean Hu: Revenue was up 11% sequentially, primarily driven by continued strong growth in data center from both the server and data center AI business, as well as a return to year-over-year growth in the embedded segment. Gross margin was 57%, up 290 basis points year-over-year. We benefited from the release of $360 million in previously written down MI308 inventory reserves. Excluding the inventory reserve release and the MI308 revenue from China, gross margin would have been approximately 55%, up 80 basis points year-over-year, driven by favorable product mix. Operating expenses were $3 billion, an increase of 42% year-over-year as we continue to invest in R&D go-to-market activities to support our AI roadmap and long-term growth opportunities, as well as the higher employee performance-based incentives. Operating income was a record $2.9 billion, representing a 28% operating margin.
Speaker #2: As well as a return to year-over-year growth in embedded segment. Gross margin was 57%, up 290 basis points year over year, with benefit from the release of 360 million in previously writing down MI308 inventory reserves.
Speaker #2: Excluding the inventory reserve release and the MI300 revenue from China, gross margin would have been approximately 55%, up 80 basis points year over year, driven by favorable product mix.
Speaker #2: Operating expenses were 3 billion, an increase of 42% year over year as we continue to invest in R&D go-to-market activities to support our AI roadmap and long-term growth opportunities, as well as higher employee performance-based incentives.
Speaker #2: Operating income was a record $2.9 billion, representing a 28% operating margin. Tax, interest, and other resulted in a net expense of approximately $335 million. For the fourth quarter, diluted earnings per share was a record $1.53, an increase of 40% year over year, reflecting strong execution and operating leverage in our business model.
Jean Hu: Tax, interest, and other, resulting in a net expense of approximately $335 million. For the fourth quarter, diluted earnings per share was a record $1.53, an increase of 40% year-over-year, reflecting strong execution and operating leverage in our business model. Now turning to our reportable segment. Starting with the data center segment, revenue was a record of $5.4 billion, up 39% year-over-year, and 24% sequentially, driven by strong demand for EPYC processors and the continued ramp of MI350 products. Data center segment operating income was $1.8 billion, or 33% of revenue, compared to $1.2 billion, or 30% a year ago, reflecting higher revenue and the inventory reserve release, partially offset by continued investment to support our AI, hardware, and software roadmaps.
Jean Hu: Tax, interest, and other, resulting in a net expense of approximately $335 million. For the fourth quarter, diluted earnings per share was a record $1.53, an increase of 40% year-over-year, reflecting strong execution and operating leverage in our business model. Now turning to our reportable segment. Starting with the data center segment, revenue was a record of $5.4 billion, up 39% year-over-year, and 24% sequentially, driven by strong demand for EPYC processors and the continued ramp of MI350 products. Data center segment operating income was $1.8 billion, or 33% of revenue, compared to $1.2 billion, or 30% a year ago, reflecting higher revenue and the inventory reserve release, partially offset by continued investment to support our AI, hardware, and software roadmaps.
Speaker #2: Now turning to our reportable segment, starting with the data center segment. Revenue was a record $5.4 billion, up 39% year over year and 20% sequentially, driven by strong demand for EPYC processors and continued ramp of MI300 products.
Speaker #2: Data Center segment operating income was $1.8 billion, up 33% of revenue compared to $1.2 billion, up 30% a year ago. This reflects higher revenue and inventory reserve release, partially offset by continued investment to support our AI hardware and software roadmaps.
Jean Hu: Client and Gaming segment revenue was $3.9 billion, up 37% year-over-year, driven primarily by strong demand for our leadership AMD Ryzen processors. On a sequential basis, revenue was down 3% due to lower semi-customer revenue. The Client and Embedded business revenue was a record $3.1 billion, up 34% year-over-year, and 13% sequentially, led by strong demand from both the channel and the PC OEMs and the continued market share gains. The Gaming business revenue was $843 million, up 50% year-over-year, primarily driven by higher semi-customer revenue and strong demand for AMD Radeon GPUs. Sequentially, gaming revenue was down 35% due to lower semi-customer sales.
Jean Hu: Client and Gaming segment revenue was $3.9 billion, up 37% year-over-year, driven primarily by strong demand for our leadership AMD Ryzen processors. On a sequential basis, revenue was down 3% due to lower semi-customer revenue. The Client and Embedded business revenue was a record $3.1 billion, up 34% year-over-year, and 13% sequentially, led by strong demand from both the channel and the PC OEMs and the continued market share gains. The Gaming business revenue was $843 million, up 50% year-over-year, primarily driven by higher semi-customer revenue and strong demand for AMD Radeon GPUs. Sequentially, gaming revenue was down 35% due to lower semi-customer sales.
Speaker #2: Client and gaming segment revenue was $3.9 billion, up 37% year over year, driven primarily by strong demand for our leadership AMD Ryzen processors, a sequential basis revenue was down 3% due to lower semi-customer revenue.
Speaker #2: The client and business revenue was record $3.1 billion, up 34% year over year and 13% sequentially, led by strong demand from both the channel and the PC OEMs, and continued market share gains.
Speaker #2: The gaming business revenue was $843 million, up 50% year over year, primarily driven by higher semi-customer revenue and strong demand for AMD Radeon GPUs.
Speaker #2: Sequentially, gaming revenue was down 35% due to lower semi-customer sales. Client and gaming segment operating income was $725 million, up 18% of revenue, compared to $496 million, up 17% a year ago.
Jean Hu: Client and the gaming segment operating income was $725 million, or 18% of revenue, compared to $496 million, or 17% a year ago. Embedded segment revenue was $950 million, up 3% year-over-year and 11% sequentially, as demand strengthened across several end markets. Embedded segment operating income was $357 million, or 38% of revenue, compared to $362 million, or 39% a year ago. Before I review the balance sheet and the cash flow, as a reminder, we closed the sale of the ZT Systems manufacturing business to Sanmina in late October. The fourth quarter financial results of the ZT Systems manufacturing business are reported separately in our financial statement as discontinued operations and are excluded from our non-GAAP financials. Turning to the balance sheet and the cash flow.
Jean Hu: Client and the gaming segment operating income was $725 million, or 18% of revenue, compared to $496 million, or 17% a year ago. Embedded segment revenue was $950 million, up 3% year-over-year and 11% sequentially, as demand strengthened across several end markets. Embedded segment operating income was $357 million, or 38% of revenue, compared to $362 million, or 39% a year ago. Before I review the balance sheet and the cash flow, as a reminder, we closed the sale of the ZT Systems manufacturing business to Sanmina in late October. The fourth quarter financial results of the ZT Systems manufacturing business are reported separately in our financial statement as discontinued operations and are excluded from our non-GAAP financials. Turning to the balance sheet and the cash flow.
Speaker #2: Embedded segment revenue was $950 million, up 3% year over year and 11% sequentially, as demand strengthened across several end markets. Embedded segment operating income was $357 million, or 38% of revenue, compared to $362 million, or 39%, a year ago.
Speaker #2: Before I reveal the balance sheet and cash flow, as a reminder, we closed the sale of the ZT System manufacturing business to Samina in late October.
Speaker #2: The fourth-quarter financial results of the ZT manufacturing business are reported separately in our financial statement as discontinued operations, and I excluded from our non-GAAP financials.
Speaker #2: Turning to the balance sheet and cash flow. During the quarter, we generated record $2.3 billion in cash from continuing operations, and the record of $2.1 billion in free cash flow.
Jean Hu: During the quarter, we generated a record $2.3 billion in cash from continuing operations and a record of $2.1 billion in free cash flow. Inventory increased sequentially by approximately $607 million to $7.9 billion to support strong data center demand. At the end of the quarter, cash, cash equivalents, and short-term investments were $10.6 billion. For the year, we repurchased 12.4 million shares and returned $1.3 billion to shareholders. We ended the year with a $9.4 billion authorization remaining in our share repurchase program. Now turning to our Q1 2026 outlook, we expect revenue to be approximately $9.8 billion, ±$300 million, including approximately $100 million of MI308 sales to China.
Jean Hu: During the quarter, we generated a record $2.3 billion in cash from continuing operations and a record of $2.1 billion in free cash flow. Inventory increased sequentially by approximately $607 million to $7.9 billion to support strong data center demand. At the end of the quarter, cash, cash equivalents, and short-term investments were $10.6 billion. For the year, we repurchased 12.4 million shares and returned $1.3 billion to shareholders. We ended the year with a $9.4 billion authorization remaining in our share repurchase program. Now turning to our Q1 2026 outlook, we expect revenue to be approximately $9.8 billion, ±$300 million, including approximately $100 million of MI308 sales to China.
Speaker #2: Inventory increased sequentially by approximately $607 million to $7.9 billion to support strong data center demand. At the end of the quarter, cash, cash equivalents, and short-term investments were $10.6 billion.
Speaker #2: For the year, we repurchased 12.4 million shares and returned $1.3 billion to shareholders. We ended the year with $9.4 billion authorization remaining in our share repurchase program.
Speaker #2: Now turning to our first-quarter 2026 outlook. We expect revenue to be approximately $9.8 billion, plus or minus $300 million including approximately $100 million of MI308 sales to China.
Jean Hu: At the middle point of our guidance, revenue is expected to be up 32% year-over-year, driven by strong growth in our data center and the client and the gaming segments, and the modest growth in our embedded segment. Sequentially, we expect revenue to be down approximately 5%, driven by seasonal decline in our client, gaming, and embedded segment, partially offset by growth in our data center segment. In addition, we expect fourth quarter non-GAAP gross margin to be approximately 55%. Non-GAAP operating expense to be approximately $3.05 billion. Non-GAAP other net income to be approximately $35 million. Non-GAAP effective tax rate to be 13%, and diluted share count is expected to be approximately 1.65 billion shares.
Jean Hu: At the middle point of our guidance, revenue is expected to be up 32% year-over-year, driven by strong growth in our data center and the client and the gaming segments, and the modest growth in our embedded segment. Sequentially, we expect revenue to be down approximately 5%, driven by seasonal decline in our client, gaming, and embedded segment, partially offset by growth in our data center segment. In addition, we expect fourth quarter non-GAAP gross margin to be approximately 55%. Non-GAAP operating expense to be approximately $3.05 billion. Non-GAAP other net income to be approximately $35 million. Non-GAAP effective tax rate to be 13%, and diluted share count is expected to be approximately 1.65 billion shares.
Speaker #2: At the midpoint of our guidance, revenue is expected to be up 32% year over year, driven by strong growth in our Data Center, Client, and Gaming segments, and modest growth in our Embedded segment.
Speaker #2: Sequentially, we expect revenue to be down approximately 5% driven by seasonal decline in our client gaming and embedded segment, partially offset by growth in our data center segment.
Speaker #2: In addition, we expect fourth-quarter non-GAAP gross margin to be approximately 55%, non-GAAP operating expense to be approximately $3.05 billion. Non-GAAP other net income to be approximately $35 million, non-GAAP effective tax rate to be 13%, and diluted share count is expected to be approximately 1.65 billion shares.
Speaker #2: In closing, 2025 was an outstanding year for AMD, reflecting disciplined execution across the business to deliver strong revenue growth, increased profitability, and cash generation, while investing aggressively in AI and innovation to support our long-term growth strategy.
Jean Hu: In closing, 2025 was an outstanding year for AMD, reflecting disciplined execution across the business to deliver strong revenue growth, increase the profitability, and cash generation, while investing aggressively in AI and innovation to support our long-term growth strategy. Looking ahead, we are very well positioned for continued strong top-line revenue growth and earnings expansion in 2026, with a focus on driving data center AI growth, operating leverage, and delivering long-term value to shareholders. With that, I'll turn it back to Matt for the Q&A session.
Jean Hu: In closing, 2025 was an outstanding year for AMD, reflecting disciplined execution across the business to deliver strong revenue growth, increase the profitability, and cash generation, while investing aggressively in AI and innovation to support our long-term growth strategy. Looking ahead, we are very well positioned for continued strong top-line revenue growth and earnings expansion in 2026, with a focus on driving data center AI growth, operating leverage, and delivering long-term value to shareholders. With that, I'll turn it back to Matt for the Q&A session.
Speaker #2: Looking ahead, we are very well positioned for continued strong top-line revenue growth and earnings expansion in 2026 with a focus on driving data center AI growth, operating leverage, and delivering long-term value to shareholders.
Speaker #2: With that, I'll turn it back to Matt for the Q&A session. Yes, thank you very much, Jean. Operator, please go ahead and open the Q&A session.
[Company Representative] (AMD): Yes, thank you very much, Jean. Operator, please go ahead and open the Q&A session. Thank you.
Matt Ramsay: Yes, thank you very much, Jean. Operator, please go ahead and open the Q&A session. Thank you.
Speaker #2: Thank
Speaker #3: Thank you, Matt. We will now be conducting the question and answer session. If you would like to ask a question, please press star 1 on your telephone keypad.
Operator: Thank you, Matt. We will now be conducting the question and answer session. If you would like to ask a question, please press star one on your telephone keypad. A confirmation tone will indicate that your line is in the queue. You may press star two to remove yourself from the queue. For participants using speaker equipment, it may be necessary to pick up your handset before pressing the star keys. One moment, please, while we poll for questions. The first question comes from the line of Aaron Rakers with Wells Fargo. Please proceed with your question.
Operator: Thank you, Matt. We will now be conducting the question and answer session. If you would like to ask a question, please press star one on your telephone keypad. A confirmation tone will indicate that your line is in the queue. You may press star two to remove yourself from the queue. For participants using speaker equipment, it may be necessary to pick up your handset before pressing the star keys. One moment, please, while we poll for questions. The first question comes from the line of Aaron Rakers with Wells Fargo. Please proceed with your question.
Speaker #3: A confirmation tone will indicate that your line is in the queue. You may press star 2 to remove yourself from the queue. For participants using speaker equipment, it may be necessary to pick up your handset before pressing the star keys.
Speaker #3: One moment, please while we pull for questions. And the first question comes from the line of Aaron Rakers with Wells Fargo. Please proceed with your
Speaker #3: Question. Yeah, thanks for taking the question.
[Analyst] (Wells Fargo): Yeah, thanks for taking the question. You know, Lisa, at your Analyst Day back in November, you seemed to kind of endorse, you know, the high $20 billion AI revenue expectation that was out there on the street for 2027. I know today you're reaffirming the path to strong double-digit growth. So I guess my question is, can you talk a little bit about what you've seen as far as customer engagements, how those might have expanded? I think you've alluded to, in the past, multiple multi-gigawatt opportunities. Just, you know, just double-click on, you know, what you've seen from the MI455 and Helios platform from a demand-shaping perspective as we look into the back half of the year.
Aaron Rakers: Yeah, thanks for taking the question. You know, Lisa, at your Analyst Day back in November, you seemed to kind of endorse, you know, the high $20 billion AI revenue expectation that was out there on the street for 2027. I know today you're reaffirming the path to strong double-digit growth. So I guess my question is, can you talk a little bit about what you've seen as far as customer engagements, how those might have expanded? I think you've alluded to, in the past, multiple multi-gigawatt opportunities. Just, you know, just double-click on, you know, what you've seen from the MI455 and Helios platform from a demand-shaping perspective as we look into the back half of the year.
Speaker #4: question. Lisa, at your analyst day back in November, you seemed to kind of endorse the high $20 billion AI revenue expectation that was out there on the street for 2027.
Speaker #4: I know today you're reaffirming the path to strong double-digit growth. So I guess my question is, can you talk a little bit about what you've seen as far as customer engagements, how those might have expanded?
Speaker #4: I think you've alluded to it in the past multiple, multi-gigawatt opportunities. Just any just double-click on what you've seen from the MI455 and Helios platform from a demand shaping perspective as we look into the back half of the year.
Speaker #5: Yeah, sure, Aaron. Thanks for the question. So first of all, I think the MI450 series development is going extremely well. So we're very happy with the progress that we have.
Lisa Su: Yeah, sure, Aaron. Thanks for the question. So first of all, I think the MI450 series development is going extremely well. So, we're very happy with the progress that we have. We're right on track for a second half launch and, you know, beginning of production. And as it relates to, you know, sort of the shape of the ramp and the customer engagements, I would say the customer engagements continue to proceed very well. You know, we have obviously a very strong relationship with OpenAI, and we're planning that ramp starting in the second half of the year, going into 2027. That is on track.
Lisa Su: Yeah, sure, Aaron. Thanks for the question. So first of all, I think the MI450 series development is going extremely well. So, we're very happy with the progress that we have. We're right on track for a second half launch and, you know, beginning of production. And as it relates to, you know, sort of the shape of the ramp and the customer engagements, I would say the customer engagements continue to proceed very well. You know, we have obviously a very strong relationship with OpenAI, and we're planning that ramp starting in the second half of the year, going into 2027. That is on track.
Speaker #5: We're right on track for a second half launch and beginning production. And as it relates to sort of the shape of the ramp and the customer engagements, I would say the customer engagements continue to proceed very well.
Speaker #5: We have obviously a very strong relationship with OpenAI, and we're planning that ramp starting in the second half of the year, going into 2027.
Speaker #5: That is on track. We're also working closely with a number of other customers who are very interested in ramping MI450 quickly, just given the strength of the product, and we see that across both inference and training.
Lisa Su: We're also working closely with a number of other customers, who are very interested in ramping MI450 quickly, just given the strength of the product and, you know, we see that across both inference and training. And, you know, that is the opportunity that we see in front of us. So we feel very good about, you know, sort of the data center growth overall, for us in 2026, and then certainly going into 2027. You know, we've talked about, you know, tens of billions of dollars of data center AI revenue, and we feel very good about that.
Lisa Su: We're also working closely with a number of other customers, who are very interested in ramping MI450 quickly, just given the strength of the product and, you know, we see that across both inference and training. And, you know, that is the opportunity that we see in front of us. So we feel very good about, you know, sort of the data center growth overall, for us in 2026, and then certainly going into 2027. You know, we've talked about, you know, tens of billions of dollars of data center AI revenue, and we feel very good about that.
Speaker #5: And that is the opportunity that we see in front of us. So we feel very good about sort of the data center growth overall for us in 2026, and then certainly going into 2027, we’ve talked about tens of billions of dollars of data center AI revenue, and we feel very good about
Speaker #5: that.
Speaker #3: Thank
Operator: Thank you. The next question comes from the line of Tim Arcuri with UBS. Please proceed with your question.
Operator: Thank you. The next question comes from the line of Tim Arcuri with UBS. Please proceed with your question.
Speaker #3: You. The next question comes from the line of Tim Arcori with UBS. Please proceed with your question.
Speaker #4: Thanks a lot. Jean, I'm wondering if you can maybe give us a little bit of detail under the hood for the March guidance. I know you basically told us that you told us about what embedded is going to be up a bit.
[Company Representative] (AMD): Thanks a lot. Jean, I'm wondering if you can maybe give us a little bit of detail under the hood for the March guidance. I know you basically told us that you told us about what embedded is gonna be up a bit year over year. You know, clients aren't like it's down seasonally, which I take to be maybe down 10. So can you give us a sensitivity of the other pieces? And then also, can you give us a sense of how, you know, data center, you know, GPU is gonna ramp through the year? I know it's a, you know, backtrack over the year, but I think people are thinking at least somewhere in the $14 billion range this year. That's what investors are thinking.
Tim Arcuri: Thanks a lot. Jean, I'm wondering if you can maybe give us a little bit of detail under the hood for the March guidance. I know you basically told us that you told us about what embedded is gonna be up a bit year over year. You know, clients aren't like it's down seasonally, which I take to be maybe down 10. So can you give us a sensitivity of the other pieces? And then also, can you give us a sense of how, you know, data center, you know, GPU is gonna ramp through the year? I know it's a, you know, backtrack over the year, but I think people are thinking at least somewhere in the $14 billion range this year. That's what investors are thinking.
Speaker #4: Year over year, client sounds like it's down seasonally, which I take to be maybe down 10. So can you give us a sense maybe of the other pieces?
Speaker #4: And then also, can you give us a sense of how data center GPU is going to ramp through the year? I know it's back half of the year, but I somewhere in the $14 billion range this year.
Speaker #4: And then also, can you give us a sense of how data center GPU is going to ramp through the year? I know it's back half of the year, but I think people are thinking, Lisa, that's what investors were thinking.
[Company Representative] (AMD): I'm not asking you to endorse that, but if you can give us a little, you know, flavor for sort of how the, you know, ramp will look to be, that'd be great. Thanks.
Speaker #4: I'm not asking you to endorse that, but if you can give us a little flavor for sort of how the ramp will look through the year, that'd be great.
Tim Arcuri: I'm not asking you to endorse that, but if you can give us a little, you know, flavor for sort of how the, you know, ramp will look to be, that'd be great. Thanks.
Speaker #4: Thanks.
Jean Hu: Hi, Tim. Thanks for your question. We're guiding one quarter at a time, but I can give you some color about our Q1 guide. First, is right, sequentially, we guided a decline around 5%, but data center is actually going to be up. And when you think about it, right, our CPU business, seasonal, actually in a regular seasonal pattern, it's going to be down, high single digits. And in our current guide, we actually guide CPU revenue up sequentially very nicely. Also, with the data center GPU side, we also feel really good about, you know, GPU revenue, including China, will be also up. So very nice guide for the data center overall. On the client side, we do see seasonality sequentially decline, embedded and the gaming, they are also have a seasonal decline.
Jean Hu: Hi, Tim. Thanks for your question. We're guiding one quarter at a time, but I can give you some color about our Q1 guide. First, is right, sequentially, we guided a decline around 5%, but data center is actually going to be up. And when you think about it, right, our CPU business, seasonal, actually in a regular seasonal pattern, it's going to be down, high single digits. And in our current guide, we actually guide CPU revenue up sequentially very nicely. Also, with the data center GPU side, we also feel really good about, you know, GPU revenue, including China, will be also up. So very nice guide for the data center overall. On the client side, we do see seasonality sequentially decline, embedded and the gaming, they are also have a seasonal decline.
Speaker #6: Hi,
Speaker #6: Tim, thanks for your question. We're guiding one quarter at a time up, but I can give you some color about our Q1 guide. First, it's right sequentially.
Speaker #6: We guided the decline around 5%, but data center is actually going to be up. And when you think about it, it's right—our CPO business is actually in a regular seasonal pattern.
Speaker #6: It's going to be down high single digit. And in our current guide, we actually guide CPU revenue up sequentially very nicely. Also, with the data center GPU side, we also feel really good about GPU revenue, including China.
Speaker #6: We'll be also up. So very nice guide for the data center overall. On the client side, we do see seasonality sequentially decline. Embedded and gaming they are also have a seasonal decline.
Lisa Su: And maybe, Tim, if I just give you a little bit on the full year commentary. I think the important thing, as we look at the full year, we're very bullish on the year. You know, we're not, you know, if you look at the key themes, we're seeing very strong growth in the data center, and that's across, you know, two growth vectors. We see, you know, server CPU growth actually very strong. I mean, we've talked about the fact that, you know, CPUs are very important as AI continues to ramp, and we've seen the CPU order book continue to strengthen as we go through the last few quarters and especially over the last 60 days. So we see that as a strong growth driver for us.
Jean Hu: And maybe, Tim, if I just give you a little bit on the full year commentary. I think the important thing, as we look at the full year, we're very bullish on the year. You know, we're not, you know, if you look at the key themes, we're seeing very strong growth in the data center, and that's across, you know, two growth vectors. We see, you know, server CPU growth actually very strong. I mean, we've talked about the fact that, you know, CPUs are very important as AI continues to ramp, and we've seen the CPU order book continue to strengthen as we go through the last few quarters and especially over the last 60 days. So we see that as a strong growth driver for us.
Speaker #5: And maybe, Tim, if I just give you a little bit on the full year commentary. I think the important thing as we year. We're look at the full year, we're very bullish on the not if you look at the key themes, we're seeing very strong growth in the data center.
Speaker #5: And that's across two growth vectors. We see server CPU growth actually very strong. I mean, we've talked about the fact that CPUs are very important as AI continues to ramp, and we've seen the CPU order book continue to strengthen.
Speaker #5: As we go through the last few quarters, and especially over the last 60 days, we see that as a strong growth driver for us.
Speaker #5: As Jean said, we see server CPU growing from Q4 into Q1 in what normally is seasonally down. And that continues throughout the year. And then on the data center AI side, it's a very important year for us.
Lisa Su: As Jean said, we see server CPU growing from Q4 into Q1 in what normally is seasonally down, and that continues throughout the year. Then on the data center AI side, it's a very important year for us. It's really an inflection point. You know, MI355 has done well, and we were pleased with the performance in Q4, and we continue to ramp that in the first half of the year. But as we get into the second half of the year, the MI450 is really an inflection point for us. So that revenue will start in the third quarter, but it will ramp significant volume in the fourth quarter as we get into 2027.
Jean Hu: As Jean said, we see server CPU growing from Q4 into Q1 in what normally is seasonally down, and that continues throughout the year. Then on the data center AI side, it's a very important year for us. It's really an inflection point. You know, MI355 has done well, and we were pleased with the performance in Q4, and we continue to ramp that in the first half of the year. But as we get into the second half of the year, the MI450 is really an inflection point for us. So that revenue will start in the third quarter, but it will ramp significant volume in the fourth quarter as we get into 2027.
Speaker #5: It's really in inflection point. MI355 has done well, and we were pleased with the performance in Q4 and we continue to get into the second half of the year, the ramp that in the first half of the year.
Speaker #5: MI450 is really, as we see it, an inflection point for us. So that revenue will start in the third quarter, but it will ramp to significant volume in the fourth quarter as we get into 2027.
Speaker #5: So that gives you a little bit of sort of what the data center ramp looks like throughout the year.
Lisa Su: So that gives you a little bit of, you know, sort of what the data center ramp looks like throughout the year.
Jean Hu: So that gives you a little bit of, you know, sort of what the data center ramp looks like throughout the year.
Speaker #4: Thank you, Lisa.
Jean Hu: Thank you, Lisa.
Tim Arcuri: Thank you, Lisa.
Speaker #3: And the next question comes from the line of Vivek Arya with Bank of America. Please proceed.
Operator: The next question comes from the line of Vivek Arya with Bank of America. Please proceed.
Operator: The next question comes from the line of Vivek Arya with Bank of America. Please proceed.
Speaker #7: Oh, thank you. First, just a clarification on what you're assuming for your China MI300 sales beyond Q1. And for 2026, can—then Lisa, specifically, do your data center revenues grow at your target 60% plus growth rate?
[Analyst] (Bank of America): Thank you. First, just a clarification on what you're assuming for your China MI308 sales beyond Q1. And then, Lisa, specific to 2026, you know, can your data center revenues grow at your target 60%+ growth rate? I realize that that's a multi-year target, but do you think that there are enough drivers, whether it's on the server CPU side or GPU side, for you to grow at that target base even in 2026? Thank you.
Vivek Arya: Thank you. First, just a clarification on what you're assuming for your China MI308 sales beyond Q1. And then, Lisa, specific to 2026, you know, can your data center revenues grow at your target 60%+ growth rate? I realize that that's a multi-year target, but do you think that there are enough drivers, whether it's on the server CPU side or GPU side, for you to grow at that target base even in 2026? Thank you.
Speaker #7: I realize that that's a multi-year target, but do you think that there are enough drivers, whether it's on the server CPU side or GPU side, for you to grow at that target pace even in 2026?
Speaker #7: Thank you.
Speaker #5: Yeah, sure, Vivek. So let me talk a little bit about China first because that's, I think, important for us to make pleased to have some MI308 sales in the fourth quarter.
Lisa Su: Yeah. Sure, Vivek. So let me talk a little bit about China first, 'cause that's, I think, important for us to make sure that's clear. Look, we were pleased to have some MI308 sales in the fourth quarter. They were actually, you know, a license that was approved through, you know, work with the administration. And you know, those orders were actually from very early in 2025. And so we saw some revenue in Q4, and we're forecasting for about $100 million of revenue in Q1. We are not forecasting any additional revenue from China, just because it's a very dynamic situation.
Lisa Su: Yeah. Sure, Vivek. So let me talk a little bit about China first, 'cause that's, I think, important for us to make sure that's clear. Look, we were pleased to have some MI308 sales in the fourth quarter. They were actually, you know, a license that was approved through, you know, work with the administration. And you know, those orders were actually from very early in 2025. And so we saw some revenue in Q4, and we're forecasting for about $100 million of revenue in Q1. We are not forecasting any additional revenue from China, just because it's a very dynamic situation.
Speaker #5: They were actually licenses that were approved through work with the administration, and those orders were actually from very early in 2025. And so we saw some revenue, about $100 million of revenue, in Q1.
Speaker #5: We are not forecasting any additional revenue from China, just because it's a very dynamic situation. So, given that it's a dynamic situation, we're still waiting for—we've submitted licenses for the MI325, and we're continuing to work with customers and understanding sort of their customer demand.
Lisa Su: So given that it's a dynamic situation, we're still waiting for, you know, we've submitted licenses for the MI325, and we're continuing to work with customers and understanding, you know, sort of their customer demand. We thought it prudent, not to forecast any additional revenue other than the $100 million that we called out, in the Q1 guide. Now, as it relates to overall data center, you know, as I mentioned in the question to Tim, like, we're very bullish about data center. I think the combination of drivers that we have across our, you know, CPU franchise, I mean, the EPYC product line, both Turin and Genoa, continue to ramp well.
Lisa Su: So given that it's a dynamic situation, we're still waiting for, you know, we've submitted licenses for the MI325, and we're continuing to work with customers and understanding, you know, sort of their customer demand. We thought it prudent, not to forecast any additional revenue other than the $100 million that we called out, in the Q1 guide. Now, as it relates to overall data center, you know, as I mentioned in the question to Tim, like, we're very bullish about data center. I think the combination of drivers that we have across our, you know, CPU franchise, I mean, the EPYC product line, both Turin and Genoa, continue to ramp well.
Speaker #5: We thought it prudent not to forecast any additional revenue other than the $100 million that we called out in the Q1 guide. Now, as it relates to overall data center, as I mentioned in the question to Tim, we're very bullish about data center.
Speaker #5: I think the combination of drivers that we have across our CPU franchise—I mean, the EPYC product line, both Turin and Genoa—continue to ramp well.
Speaker #5: And in the second half of the year, we will be launching Venice, which we believe actually extends our leadership. And the MI450 ramp, which is also very significant in the second half of 2026—we're not, obviously, guiding specifically by segment, but the long-term target of, let's call it, greater than 60%, is certainly possible in
Lisa Su: In the second half of the year, we will be launching Venice, which we believe actually extends our leadership, and the MI450 ramp, which is also, you know, very significant in the second half of 2026. We're not, you know, obviously guiding specifically by segment, but the long-term target of, let's call it greater than 60%, is certainly possible in 2026.
Lisa Su: In the second half of the year, we will be launching Venice, which we believe actually extends our leadership, and the MI450 ramp, which is also, you know, very significant in the second half of 2026. We're not, you know, obviously guiding specifically by segment, but the long-term target of, let's call it greater than 60%, is certainly possible in 2026.
Speaker #5: 2026. Thank you,
[Analyst] (Bank of America): Thank you, Lisa.
Vivek Arya: Thank you, Lisa.
Speaker #3: Thank you. Lisa. And as a reminder, if you would like to ask a question, please press star one. We ask that you limit yourself to one question and one follow-up.
Operator: Thank you. And as a reminder, if you would like to ask a question, please press star one. We ask that you limit yourself to one question and one follow-up. Thank you. The next question comes from the line of CJ Muse with Cantor. Please proceed.
Operator: Thank you. And as a reminder, if you would like to ask a question, please press star one. We ask that you limit yourself to one question and one follow-up. Thank you. The next question comes from the line of CJ Muse with Cantor. Please proceed.
Speaker #3: Thank you. The next question comes from the line of CJ Muse with Cantor. Please proceed.
[Analyst] (Cantor): Yeah, good afternoon. Thanks for taking the question. I'm curious on the server CPU side of the house, and given the dramatic tightness, you know, your ability to source incremental capacity from TSMC, and elsewhere, and I guess how long will it take for that to see wafers out, and how should we think about the implications for kind of the growth trajectory throughout all of calendar 2026? And I guess as part of that, if you could speak to how we should be thinking about inflection in pricing as well, that would be very helpful.
CJ Muse: Yeah, good afternoon. Thanks for taking the question. I'm curious on the server CPU side of the house, and given the dramatic tightness, you know, your ability to source incremental capacity from TSMC, and elsewhere, and I guess how long will it take for that to see wafers out, and how should we think about the implications for kind of the growth trajectory throughout all of calendar 2026? And I guess as part of that, if you could speak to how we should be thinking about inflection in pricing as well, that would be very helpful.
Speaker #8: question. I'm curious, Yeah, good afternoon. Thanks for taking the on the server CPU side, of the house, and given the dramatic tightness, curious your ability to source incremental capacity from TSMC and elsewhere, and I guess how long will it take for that to see wafers out and how should we think about the implications for kind of the growth trajectory throughout all of calendar '26?
Speaker #8: And I guess as part of me thinking about inflection in that, if you could speak to how we should think about pricing as well, that would be very helpful.
Speaker #8: helpful. Sure, CJ.
Lisa Su: Sure, CJ. So, a couple of points about the server CPU market. First of all, we think, you know, the overall server CPU TAM is going to grow, let's call it, strong double digits in 2026, just given the, as we said, the relationship between CPU demand and overall AI ramp. So I think that's a positive. Relative to, you know, our ability to support that, we've been seeing this trend for the last couple of quarters, so we have increased our supply capacity capability for server CPUs. And, you know, that's one of the reasons we're able to increase our, you know, Q1 guide as it relates to the server business. And, you know, we see the ability to continue to grow that throughout the year.
Lisa Su: Sure, CJ. So, a couple of points about the server CPU market. First of all, we think, you know, the overall server CPU TAM is going to grow, let's call it, strong double digits in 2026, just given the, as we said, the relationship between CPU demand and overall AI ramp. So I think that's a positive. Relative to, you know, our ability to support that, we've been seeing this trend for the last couple of quarters, so we have increased our supply capacity capability for server CPUs. And, you know, that's one of the reasons we're able to increase our, you know, Q1 guide as it relates to the server business. And, you know, we see the ability to continue to grow that throughout the year.
Speaker #5: So, a couple of points about the server CPU market. First of all, we think the overall server CPU TAM is going to grow—let's call it strong double digits in 2026—just given the, as we said, the relationship between CPU demand and the overall AI ramp.
Speaker #5: So I think that's a positive relative to our ability to support the last couple of quarters. So we have that. We've been seeing this trend for increased supply capacity and capability for server CPUs, and that's one of the reasons we're able to increase our Q1 guide as it relates to the server business.
Speaker #5: And we see the ability to continue to grow that throughout the year. There's no question that the demand continues to be strong, and so we're working with our supply chain partners to increase supply as well.
Lisa Su: There's no question that the demand continues to be strong, and so we're working with our supply chain partners to increase supply as well. But from what we see today, I think the overall server situation is strong, and we are increasing supply to address that.
Lisa Su: There's no question that the demand continues to be strong, and so we're working with our supply chain partners to increase supply as well. But from what we see today, I think the overall server situation is strong, and we are increasing supply to address that.
Speaker #5: But from what we see today, I think the overall server situation is strong, and we are increasing supply to
Speaker #5: Address that. Hey, CJ, do you
Operator: Hey, CJ, do you have a follow-up question?
Operator: Hey, CJ, do you have a follow-up question?
Speaker #7: have a follow-up
Speaker #7: Question? I do, maybe for Jean.
[Analyst] (Wolfe Research): ... I do. Maybe for Jean, if you could kind of touch on, gross margins, through the year, and, as you balance kind of strengthening server CPU with, you know, perhaps greater, you know, GPU accelerating in the second half, is there kind of a framework that we should be, working off of? Thanks so much.
CJ Muse: ... I do. Maybe for Jean, if you could kind of touch on, gross margins, through the year, and, as you balance kind of strengthening server CPU with, you know, perhaps greater, you know, GPU accelerating in the second half, is there kind of a framework that we should be, working off of? Thanks so much.
Speaker #8: If gross margins through the year—you could kind of touch on strengthening server CPU, with perhaps greater GPU accelerating in the second half. Is there kind of a framework that we should be working off of?
Speaker #8: Thanks so much.
Speaker #5: Yeah, thank you for the question. We are very pleased with our gross margin Q4 performance and the Q1 guide at 55%, which actually is 130 basis points up year over year, while we continue to ramp our MI300 year over year very significantly.
Jean Hu: Yeah, thank you for the question. We are very pleased with our gross margin Q4 performance and the Q1 guide at 55%, which actually is 130 basis points up year-over-year. While we continue to ramp our MI355 year-over-year very significantly, I think we are benefiting from a very favorable product mix across all our business. If you think about in data center, we're ramping our new product, new generation product, Turin, and the MI355, which helps the growth margin in client. We continue to move up the stack and also gaining momentum in our commercial business. Our client and the business growth margin has been improving nicely. In addition, certainly we see the recovery of our embedded business, which is also margin accretive.
Jean Hu: Yeah, thank you for the question. We are very pleased with our gross margin Q4 performance and the Q1 guide at 55%, which actually is 130 basis points up year-over-year. While we continue to ramp our MI355 year-over-year very significantly, I think we are benefiting from a very favorable product mix across all our business. If you think about in data center, we're ramping our new product, new generation product, Turin, and the MI355, which helps the growth margin in client. We continue to move up the stack and also gaining momentum in our commercial business. Our client and the business growth margin has been improving nicely. In addition, certainly we see the recovery of our embedded business, which is also margin accretive.
Speaker #5: I think we are benefiting from a very favorable product mix across all our business. If you think about in data center, we're ramping our new product, new generation product, Turin, and the MI355, which helps the gross margin in client.
Speaker #5: We continue to move up the stack. And also, gaining momentum in our commercial business, our client business gross margin has been improving nicely. In addition, certainly we see the recovery of our embedded business, which is also margin accretive.
Jean Hu: So, all those tailwinds we are seeing, we continue to see in next few quarters. And, when MI450 ramp, of course, in Q4, our gross margin will be driven largely by mix, and I think we'll give you more color when we get there. But overall, we feel really good about our gross margin progression this year.
Jean Hu: So, all those tailwinds we are seeing, we continue to see in next few quarters. And, when MI450 ramp, of course, in Q4, our gross margin will be driven largely by mix, and I think we'll give you more color when we get there. But overall, we feel really good about our gross margin progression this year.
Speaker #5: So, all those to see in the next few quarters, and when MI450 ramps, of course, in Q4, our gross margin will be driven largely by mix, and I think we’ll give you more color when we get there.
Speaker #5: But overall, we feel really good about our gross margin progression this quarter.
Speaker #5: year. Thank you.
Operator: Thank you. The next question comes from the line of Joe Moore with Morgan Stanley. Please proceed.
Operator: Thank you. The next question comes from the line of Joe Moore with Morgan Stanley. Please proceed.
Speaker #3: The next question comes from the line of Joe Moore with Morgan Stanley. Please proceed.
Speaker #9: Great. Thank you. On the MI455 ramp, will 100% of the business be racks? Will there be kind of an eight-way server business around that architecture?
[Analyst] (Morgan Stanley): Great, thank you. On the MI455 ramp, will 100% of the business be racks? Will there be kind of an eight-way server business around that, that architecture? And then is the revenue recognition when you ship to the, the rack vendor, or is there something to understand about that? Thank you.
Joe Moore: Great, thank you. On the MI455 ramp, will 100% of the business be racks? Will there be kind of an eight-way server business around that, that architecture? And then is the revenue recognition when you ship to the, the rack vendor, or is there something to understand about that? Thank you.
Speaker #9: And then, is the revenue recognition when you ship to the rack vendor, or is there something else to understand about that? Thank you.
Lisa Su: Yes, Joe. So, we do have multiple variants of the MI450 series, including an eight-way GPU form factor. But for 2026, I would say the vast majority of it is going to be, you know, rack scale solutions. And yes, we will take revenue when we ship to the rack, you know, builder.
Speaker #5: Yes, Joe. So, we do have multiple variants of the MI450 series, including an eight-way GPU form factor. But for 2026, I would say the vast majority of it is going to be rack-scale solutions.
Lisa Su: Yes, Joe. So, we do have multiple variants of the MI450 series, including an eight-way GPU form factor. But for 2026, I would say the vast majority of it is going to be, you know, rack scale solutions. And yes, we will take revenue when we ship to the rack, you know, builder.
Speaker #5: And yes, we will take revenue when we ship to the rack builder.
Speaker #9: Okay, great. And then can you talk to any risks that you may have in terms of once you get silicon out, turning that into racks—any potential issues as you ramp that?
[Analyst] (Morgan Stanley): Okay, great. And then can you talk to any risks that you may have in terms of, you know, once you get silicon out, turning that into racks, any potential issues as you ramp that? I know your competitor had some last year, and you said you learned from that. You know, is there anything you've done with kind of pre-building racks to sort of ensure you won't have those issues? Just any risk that we need to understand around that?
Joe Moore: Okay, great. And then can you talk to any risks that you may have in terms of, you know, once you get silicon out, turning that into racks, any potential issues as you ramp that? I know your competitor had some last year, and you said you learned from that. You know, is there anything you've done with kind of pre-building racks to sort of ensure you won't have those issues? Just any risk that we need to understand around that?
Speaker #9: I know your competitor had some last year, and you said you learned from that. Is there anything you’ve done with kind of pre-building racks to sort of ensure you won't have those issues?
Speaker #9: Just any risk that we need.
Speaker #9: to understand around that? Yeah,
Lisa Su: Yeah, I mean, I think, Joe, the main thing is the development is going really well. It is ... We're right on track with the, you know, MI450 series as well as the Helios rack development. We've done a lot of testing already, both at the rack scale level as well as, you know, at the silicon level. So far so good. We are getting, let's call it, a lot of input from our customers on, you know, things to test so that we can do a lot of testing in parallel. And, you know, our expectation is that we will be on track for our second half launch.
Lisa Su: Yeah, I mean, I think, Joe, the main thing is the development is going really well. It is ... We're right on track with the, you know, MI450 series as well as the Helios rack development. We've done a lot of testing already, both at the rack scale level as well as, you know, at the silicon level. So far so good. We are getting, let's call it, a lot of input from our customers on, you know, things to test so that we can do a lot of testing in parallel. And, you know, our expectation is that we will be on track for our second half launch.
Speaker #5: I mean, I think, Joe, the main thing is the development is going really well. We're right on track with the MI450 series as well as the Helios rack development.
Speaker #5: We've done a lot of testing already, both at the rack scale level as well as at the silicon level. So far, so good. We are getting the, let's call it, a lot of input from our customers on things to test so that we can do a lot of testing in parallel.
Speaker #5: And our expectation is that we will be on track for our second half launch.
Speaker #3: Thank you. Our next question comes from the line of Stacy Raskin with Research. Please proceed.
Operator: Thank you. Our next question comes from the line of Stacy Rasgon with Wolfe Research. Please proceed.
Operator: Thank you. Our next question comes from the line of Stacy Rasgon with Wolfe Research. Please proceed.
Speaker #8: Hi, guys. Thanks for taking my questions. First of all, Lisa, I just wanted to ask about OPEX. Every quarter, you guys are guiding it up, and then it's coming in even higher, and then you're guiding it up again.
[Analyst] (Wolfe Research): Hi, guys. Thanks for taking my questions. First one, Lisa, I just wanted to ask about OpEx. Like, every quarter, you guys are guiding it up, and then it's coming in even higher, and then you're guiding it up again. And I understand, given the growth trajectory, that you need to invest, but how should we think about the ramp of that OpEx and that spending number, especially as the GPU revenue starts to inflect? Do we get leverage on that, or should we be expecting the OpEx to be growing even more materially as the AI revenue starts to ramp?
Stacy Rasgon: Hi, guys. Thanks for taking my questions. First one, Lisa, I just wanted to ask about OpEx. Like, every quarter, you guys are guiding it up, and then it's coming in even higher, and then you're guiding it up again. And I understand, given the growth trajectory, that you need to invest, but how should we think about the ramp of that OpEx and that spending number, especially as the GPU revenue starts to inflect? Do we get leverage on that, or should we be expecting the OpEx to be growing even more materially as the AI revenue starts to ramp?
Speaker #8: And I understand, given the growth trajectory, that you need to invest. But how should we think about the ramp of that OPEX and that spending number, especially as the GPU revenue starts to inflect?
Speaker #8: Do we get leverage on that, or should we be expecting the OPEX to be growing even more materially as the AI revenue starts to ramp?
Speaker #5: Yeah, sure, Stacey. Thanks for the question. Look, I think in terms of OPEX, we're at a point where we have very high conviction in the roadmap that we have.
Lisa Su: Yeah, sure, Stacy, thanks for the question. Look, I think in terms of OpEx, you know, we're at a point where we have very high conviction in the roadmap that we have. And so in 2025, as the revenue increased, you know, we did lean in on OpEx, and I think it was for all the right reasons. As we get into 2026, and as we see some of the significant growth that we're expecting, we should absolutely see leverage.
Lisa Su: Yeah, sure, Stacy, thanks for the question. Look, I think in terms of OpEx, you know, we're at a point where we have very high conviction in the roadmap that we have. And so in 2025, as the revenue increased, you know, we did lean in on OpEx, and I think it was for all the right reasons. As we get into 2026, and as we see some of the significant growth that we're expecting, we should absolutely see leverage.
Speaker #5: And so in 2025, as the revenue increased, we did lean in on OPEX. And I think it was for all the right reasons. As we get into 2026 and as we see some of the significant growth that we're expecting, we should absolutely see leverage.
Speaker #5: And the way to think about it is, we've always said in our long-term model that OPEX should grow slower than revenue, and we would expect that in 2026 as well, especially as we get into the second half of the year and we see inflection in the revenue.
Lisa Su: You know, the way to think about it is, you know, we've always said in our long-term model that OpEx should grow slower than revenue, and we would expect that in 2026 as well, especially as we get into the second half of the year and we see, you know, inflection in the revenue. But, you know, at this point, I think. You know, if you look at our Free Cash Flow generation and the overall, you know, revenue growth, I think the investment in OpEx is absolutely the right thing to do.
Lisa Su: You know, the way to think about it is, you know, we've always said in our long-term model that OpEx should grow slower than revenue, and we would expect that in 2026 as well, especially as we get into the second half of the year and we see, you know, inflection in the revenue. But, you know, at this point, I think. You know, if you look at our Free Cash Flow generation and the overall, you know, revenue growth, I think the investment in OpEx is absolutely the right thing to do.
Speaker #5: But at this point, I think if you look at our free cash flow generation and the overall revenue growth, I think the investment in OPEX is absolutely the right thing to do.
Speaker #5: do.
Speaker #9: Thank you.
[Analyst] (Wolfe Research): Thank you. For my follow-up, I actually have two sort of one-line answers I'm looking for. Just, just first, the $100 million in China revenue in Q1, does that also drop through a zero cost basis like, like we had in Q4, and is that a margin headwind? And number two, I know you don't give us the AI number, but could you just give us the annual, like, 2025 Instinct number now that we're through the year? Like, how big was it?
Stacy Rasgon: Thank you. For my follow-up, I actually have two sort of one-line answers I'm looking for. Just, just first, the $100 million in China revenue in Q1, does that also drop through a zero cost basis like, like we had in Q4, and is that a margin headwind? And number two, I know you don't give us the AI number, but could you just give us the annual, like, 2025 Instinct number now that we're through the year? Like, how big was it?
Speaker #9: For my follow-up, I actually have two sort of one-line answers I'm looking for. Just first, the $100 million in China revenue in Q1, does that also drop through at zero cost basis like we had in Q4, and is that a margin headwind?
Speaker #9: And number two, I know you don't give us the AI number, but could you just give us the annual 2025 instinct number now that we're through the year?
Speaker #9: How big was
Speaker #9: It? So, Stacey, let me answer your first...
Jean Hu: So Stacy, let me answer your first question on the $100 million revenue in Q1. Actually, the inventory reserve reversed in Q4, which was $360 million. Not only it's associated with the Q4 revenue, China revenue, but also covers the $100 million revenue we expect to ship in Q1 to China with our MI308. So the Q1 gross margin guide is a very clean guide.
Jean Hu: So Stacy, let me answer your first question on the $100 million revenue in Q1. Actually, the inventory reserve reversed in Q4, which was $360 million. Not only it's associated with the Q4 revenue, China revenue, but also covers the $100 million revenue we expect to ship in Q1 to China with our MI308. So the Q1 gross margin guide is a very clean guide.
Speaker #5: Question on the $100 million revenue in Q1. Actually, the inventory reserve reverse in Q4, which was $360 million, is not only associated with the Q4 revenue, China revenue, but also covers the $100 million revenue we expect to ship in Q1 to China with our MI308.
Speaker #5: So the Q1 gross margin guide is a very clean guide.
Lisa Su: ... And Stacy, for your second question, as you know, we don't guide at the business level, but, to help you with your models, I think you can, if you look at the Q4 data center AI number, even if you were to back out the China number, which was, you know, let's call it, not a recurring number, you would still see growth, you'll see growth from Q3 to Q4. So that should help you a little bit with your modeling.
Lisa Su: ... And Stacy, for your second question, as you know, we don't guide at the business level, but, to help you with your models, I think you can, if you look at the Q4 data center AI number, even if you were to back out the China number, which was, you know, let's call it, not a recurring number, you would still see growth, you'll see growth from Q3 to Q4. So that should help you a little bit with your modeling.
Speaker #2: And Stacey, for your second question, as you know, we don't guide at the business level, but to help you with your models, I think you can, if you look at the Q4 Data Center AI number, even if you were to back out the China number—which was, let's call it, not a recurring number—you would still see growth.
Speaker #2: you a little bit with your You'll see growth from Q3 to Q4. So that should help modeling.
Speaker #3: Thank you. And the next question comes from the line of Joshua Buchalter with TD Cowen. Please.
Operator: Thank you. The next question comes from the line of Joshua Buchalter with TD Cowen. Please proceed.
Operator: Thank you. The next question comes from the line of Joshua Buchalter with TD Cowen. Please proceed.
Speaker #3: proceed. Hey, guys.
[Analyst] (TD Cowen): Hey, guys. Thanks for taking my question. I wanna ask about clients. So the segment beat, you know, pretty handily in Q4. You know, and I recognize you guys have been gaining share with Ryzen. But I think given what we've been seeing in the memory market, there's a lot of concern about inflationary costs and the potential for pull-ins. Were there any changes in your order patterns during the quarter? And maybe bigger picture, how are you thinking about client growth and the health of that market into 2026?
Joshua Buchalter: Hey, guys. Thanks for taking my question. I wanna ask about clients. So the segment beat, you know, pretty handily in Q4. You know, and I recognize you guys have been gaining share with Ryzen. But I think given what we've been seeing in the memory market, there's a lot of concern about inflationary costs and the potential for pull-ins. Were there any changes in your order patterns during the quarter? And maybe bigger picture, how are you thinking about client growth and the health of that market into 2026?
Speaker #10: Thanks for taking my question. I wanted to ask about clients. So the segment beat pretty handily in the fourth quarter, and recognize you guys have been gaining share with Ryzen.
Speaker #10: But I think, given what we've been seeing in the memory market, there's a lot of concern about inflationary costs and the potential for pull-ins.
Speaker #10: Were there any changes in your order patterns during the quarter? And maybe bigger picture, how are you thinking about client growth and the health of that market into 2026?
Speaker #5: Yeah, thanks for the question, Josh. The client market has performed extremely well for us throughout 2025. Very strong growth for us, both in terms of ASP mixing up the stack as well as just unit growth.
Lisa Su: Yeah, thanks for the question, Josh. Yeah, the client market has performed extremely well, you know, for us, throughout 2025. Very strong growth for us, you know, both in terms of ASP mixing up the stack, as well as just unit growth. Going into 2026, we are certainly watching the development of the business. I think the PC market is an important market. Based on everything that we see today, we're probably seeing the PC TAM down a bit, just given some of the inflationary pressures of the commodities pricing, including memory. The way we are modeling the year is, let's call it second half a bit subseasonal to first half, just given, you know, everything that we see.
Lisa Su: Yeah, thanks for the question, Josh. Yeah, the client market has performed extremely well, you know, for us, throughout 2025. Very strong growth for us, you know, both in terms of ASP mixing up the stack, as well as just unit growth. Going into 2026, we are certainly watching the development of the business. I think the PC market is an important market. Based on everything that we see today, we're probably seeing the PC TAM down a bit, just given some of the inflationary pressures of the commodities pricing, including memory. The way we are modeling the year is, let's call it second half a bit subseasonal to first half, just given, you know, everything that we see.
Speaker #5: Going into 2026, we are certainly watching the development of the business. I think the PC market is an important market. Based on everything that we see today, we're probably seeing the PC TAM down a bit, just given some of the inflationary pressures of the commodities pricing, including memory.
Speaker #5: The way we are modeling the year is, let's call it, second half a bit subseasonal to first half, just given everything that we see.
Lisa Su: Even in that environment, with the PC market down, we believe we can grow the PC market, our PC business. Our focus areas are, you know, enterprise. That's a place where we're making very nice progress in 2025, and we expect that into 2026, and just continuing to grow, you know, sort of at the premium, you know, higher end of the market.
Speaker #5: Even in that environment, with the PC market down, we believe we can grow the PC business. And our focus areas are enterprise. That's a place where we're making very nice progress in 2025, and we expect that into 2026.
Lisa Su: Even in that environment, with the PC market down, we believe we can grow the PC market, our PC business. Our focus areas are, you know, enterprise. That's a place where we're making very nice progress in 2025, and we expect that into 2026, and just continuing to grow, you know, sort of at the premium, you know, higher end of the market.
Speaker #5: And just continuing to grow sort of at the premium higher end of the
Speaker #5: market. Thank you for the call.
[Analyst] (TD Cowen): Thank you for the color there. Then I wanted to ask about the Instinct family. So we've seen your big GPU competitor make a deal with a, you know, SRAM-based spatial architecture provider, and then OpenAI has reportedly been linked to one as well. Could you speak to the competitive implications of that? You know, you've done well in inferencing, I think, partly because of your leadership in HBM content. So I was wondering if you could maybe address the pull seemingly motivated by, you know, lower latency inference and how Instinct is positioned to service this, if you're indeed seeing it as well. Thank you.
Joshua Buchalter: Thank you for the color there. Then I wanted to ask about the Instinct family. So we've seen your big GPU competitor make a deal with a, you know, SRAM-based spatial architecture provider, and then OpenAI has reportedly been linked to one as well. Could you speak to the competitive implications of that? You know, you've done well in inferencing, I think, partly because of your leadership in HBM content. So I was wondering if you could maybe address the pull seemingly motivated by, you know, lower latency inference and how Instinct is positioned to service this, if you're indeed seeing it as well. Thank you.
Speaker #10: There. Then I wanted to ask about the Instinct family. So we've seen your big GPU competitor make a deal with an SRAM-based spatial architecture provider, and then OpenAI has reportedly been linked to one as well.
Speaker #10: Could you speak to the competitive implications of that? You've done well in inferencing, I think partly because of your leadership in HBM content. So I was wondering if you could maybe address the pull seemingly motivated by lower latency inference, and how Instinct is positioned to service this, if you're indeed seeing it as well.
Speaker #10: Thank you.
Speaker #5: Yeah, I think, Josh, it's really, I think, the evolution that you might expect as the AI market matures. What we're seeing is, as inference ramps, really the tokens per dollar, or the efficiency of the inference stack, becomes more and more important.
Lisa Su: Yeah. I think, Josh, it's really, I think, the evolution that you might expect as the AI market matures. You know, what we're seeing is as inference ramps, really the tokens per dollar or the efficiency of the inference stack becomes more and more important. As you know, with our Triplet architecture, we have a lot of ability to optimize across, you know, inference, training, and even across, you know, sort of the different stages of inference as well. So, I think I view this as, you know, very much as you go into the future, you'll see more workload optimized products. And, you know, you can do that, you know, with GPUs as well as, you know, with other more ASIC-like architectures.
Lisa Su: Yeah. I think, Josh, it's really, I think, the evolution that you might expect as the AI market matures. You know, what we're seeing is as inference ramps, really the tokens per dollar or the efficiency of the inference stack becomes more and more important. As you know, with our Triplet architecture, we have a lot of ability to optimize across, you know, inference, training, and even across, you know, sort of the different stages of inference as well. So, I think I view this as, you know, very much as you go into the future, you'll see more workload optimized products. And, you know, you can do that, you know, with GPUs as well as, you know, with other more ASIC-like architectures.
Speaker #5: As you know, with our ability to optimize across inference, chiplet architecture, we have a lot of training, and even across the different stages of inference as well.
Speaker #5: So I think I view this as very much as you go into the future, you'll optimize products, and you can do that with GPUs as well as with other more ASIC-like architectures.
Speaker #5: I think we have the full compute stack to do all of those things, and from that standpoint, we're going to continue to lean into inference, as we view that as a significant opportunity for us in addition to ramping our training capabilities.
Lisa Su: I think we have the full compute stack to do all of those things, and from that standpoint, we're gonna continue to lean into inference, as you know, we view that as a significant opportunity for us, in addition to ramping our training capabilities.
Lisa Su: I think we have the full compute stack to do all of those things, and from that standpoint, we're gonna continue to lean into inference, as you know, we view that as a significant opportunity for us, in addition to ramping our training capabilities.
Speaker #3: Thank you. And the next question comes from the line of Ben Reitzes with Melius Research. Please.
Operator: Thank you. The next question comes from the line of Ben Reitzes with Melius Research. Please proceed.
Operator: Thank you. The next question comes from the line of Ben Reitzes with Melius Research. Please proceed.
Speaker #3: proceed. Yeah, hey, thanks.
[Analyst] (Melius Research): Yeah, hey, thanks. Appreciate it. Hey, Lisa, I wanted to ask you about OpenAI. You know, I'm sure a lot of the volatility, you know, out there is not lost on you. Is everything on track for the second half for starting the 6 gigawatts and the 3.5-year timeline, as far as you know? And is there any other color that you'd just like to give on that relationship? And then I have a follow-up. Thank you.
Ben Reitzes: Yeah, hey, thanks. Appreciate it. Hey, Lisa, I wanted to ask you about OpenAI. You know, I'm sure a lot of the volatility, you know, out there is not lost on you. Is everything on track for the second half for starting the 6 gigawatts and the 3.5-year timeline, as far as you know? And is there any other color that you'd just like to give on that relationship? And then I have a follow-up. Thank you.
Speaker #11: Appreciate it. Hey, Lisa, I wanted to ask you about OpenAI. I'm sure a lot of the volatility out there is not lost on you.
Speaker #11: Is everything on track for the second half for starting the 6 gigawatts and the three-and-a-half-year timeline as far as you know?
Speaker #11: And is there any other color that you'd just like to give on that relationship? And then I have a follow-up. Thank you.
Speaker #2: Yeah, I mean, I think, Ben, what I would say is we're very much working in partnership with OpenAI, as well as our CSP partners, to deliver on MI450 series and deliver on the ramp.
Lisa Su: Yeah. I mean, I think, Ben, what I would say is, you know, we're very, very much working in partnership with OpenAI, as well as our CSP partners, to deliver on MI450 series and deliver on the ramp. The ramp is on schedule to start in the second half of the year. MI450 is doing great. Teleos is doing well. We are in, you know, let's call it, deep co-development, across all of those parties. And, you know, as we look forward, I think we are, we are, optimistic about the MI450 ramp for OpenAI. But I also wanna, you know, remind everyone that we have a broad set of customers that are, you know, very excited about MI450 series.
Lisa Su: Yeah. I mean, I think, Ben, what I would say is, you know, we're very, very much working in partnership with OpenAI, as well as our CSP partners, to deliver on MI450 series and deliver on the ramp. The ramp is on schedule to start in the second half of the year. MI450 is doing great. Teleos is doing well. We are in, you know, let's call it, deep co-development, across all of those parties. And, you know, as we look forward, I think we are, we are, optimistic about the MI450 ramp for OpenAI. But I also wanna, you know, remind everyone that we have a broad set of customers that are, you know, very excited about MI450 series.
Speaker #2: The ramp is on schedule to start in the second half of the year. MI450 is doing great. Helios is doing well. We are in, let's call it, deep co-development across all of those parties.
Speaker #2: And as we look forward, I think we are optimistic about the MI450 ramp for OpenAI. But I also want to remind everyone that we have a broad set of customers that are very excited about the MI450 series.
Speaker #2: And so, in addition to the work that we're doing with OpenAI, there are a number of customers that we're working to ramp in that timeframe as well.
Lisa Su: And so in addition, to the work that we're doing with OpenAI, there are a number of customers that we're working to ramp, in that timeframe as well.
Lisa Su: And so in addition, to the work that we're doing with OpenAI, there are a number of customers that we're working to ramp, in that timeframe as well.
Speaker #2: well. All right, I appreciate
[Analyst] (Melius Research): All right, I appreciate that. And, I wanted to shift to the server CPU, and just talk about x86 versus Arm. You know, there's some view out there that x86 has particular edge and agents. Big picture, you know, do you agree with that, and what are you seeing from customers? And, in particular, you know, obviously, your big competitor is gonna be selling an Arm CPU separately now in the second half. So if there's just anything on that competitive dynamic versus Arm and what NVIDIA is doing, and your views on that, that'd be great to hear. Thanks.
Ben Reitzes: All right, I appreciate that. And, I wanted to shift to the server CPU, and just talk about x86 versus Arm. You know, there's some view out there that x86 has particular edge and agents. Big picture, you know, do you agree with that, and what are you seeing from customers? And, in particular, you know, obviously, your big competitor is gonna be selling an Arm CPU separately now in the second half. So if there's just anything on that competitive dynamic versus Arm and what NVIDIA is doing, and your views on that, that'd be great to hear. Thanks.
Speaker #3: And I wanted to shift to the server CPU and just talk about x86 versus ARM. There's some view out there that x86 has a particular edge in agents.
Speaker #3: Big picture, do you agree with that? And what are you seeing from customers? And, in particular, obviously, your big competitor is going to be selling an ARM CPU separately now in the second half.
Speaker #3: So if there's just anything on that competitive dynamic versus Arm and what NVIDIA is doing and your views on that, that'd be great to hear.
Speaker #3: Thanks.
Speaker #2: Yeah, Ben, what I would say about the CPU market is there is a great need for high-performance CPUs right now. And that goes towards agentic workloads, where, when you have these AI processes or AI agents that are spawning off a lot of work in an enterprise, they're actually going to a lot of traditional CPU tasks.
Lisa Su: Yeah, Ben, what I would say about the CPU market is, there is a great need for high-performance CPUs right now, and that goes towards agentic workloads, where, you know, when you have these AI processes or AI agents that are spinning off a lot of work in an enterprise, they're actually going to a lot of traditional CPU tasks, and a vast majority of them are on x86 today. I think the beauty of EPYC is that we've optimized, we've, you know, done workload optimization, so, you know, we have the best cloud processor out there. We have the best enterprise processor. You know, we also have some lower cost variants for storage and other elements.
Lisa Su: Yeah, Ben, what I would say about the CPU market is, there is a great need for high-performance CPUs right now, and that goes towards agentic workloads, where, you know, when you have these AI processes or AI agents that are spinning off a lot of work in an enterprise, they're actually going to a lot of traditional CPU tasks, and a vast majority of them are on x86 today. I think the beauty of EPYC is that we've optimized, we've, you know, done workload optimization, so, you know, we have the best cloud processor out there. We have the best enterprise processor. You know, we also have some lower cost variants for storage and other elements.
Speaker #2: And the vast majority of them are on x86 today. I think the beauty of EPYC is that we've done workload optimization. So we have the best cloud processor out there.
Speaker #2: We have the best enterprise processor. We also have some lower-cost variants for storage and other elements. And I think all of that comes into play as we think about the entirety of the AI infrastructure that needs to be put in place.
Lisa Su: And I think all of that comes into play as we think about the entirety of the AI infrastructure that needs to be put in place. I think the CPUs are gonna continue to be, you know, as important as, you know, a piece of the AI infrastructure ramp, and that's one of the things that we mentioned at our Analyst Day back in November, you know, is, you know, really this multiyear, CPU cycle, and we continue to see that. I think we've optimized EPYC to satisfy all of those workloads, and we're gonna continue to work with our customers to, you know, expand our EPYC footprint.
Lisa Su: And I think all of that comes into play as we think about the entirety of the AI infrastructure that needs to be put in place. I think the CPUs are gonna continue to be, you know, as important as, you know, a piece of the AI infrastructure ramp, and that's one of the things that we mentioned at our Analyst Day back in November, you know, is, you know, really this multiyear, CPU cycle, and we continue to see that. I think we've optimized EPYC to satisfy all of those workloads, and we're gonna continue to work with our customers to, you know, expand our EPYC footprint.
Speaker #2: I think the CPUs are going to continue to be as important as a piece of the AI infrastructure ramp, and that's one of the things that we mentioned at our analyst day back in November.
Speaker #2: It's really this multi-year CPU cycle, and we continue to see that. I think we've optimized EPYC to satisfy all of those workloads, and we're going to continue to work with our customers to expand our EPYC footprint.
Speaker #3: And the next question comes from the line of Tom O'Malley with Barclays. Please.
Operator: The next question comes from the line of Tom O'Malley with Barclays. Please proceed.
Operator: The next question comes from the line of Tom O'Malley with Barclays. Please proceed.
Speaker #3: Proceed. Hey, Lisa, how are you?
[Analyst] (Barclays): Hey, Lisa. How are you? I just wanted to ask, you mentioned on memory earlier as a sticking point in terms of inflationary costs. Different customers do this in different ways, different suppliers do this in different ways, but can you maybe talk about your procurement of memory, when that takes place, particularly on the HBM side? Is that something that gets done a year in advance, six months in advance? Different accelerator guys have talked about different timelines. Would be curious to kind of hear when you do the procurement.
Tom O'Malley: Hey, Lisa. How are you? I just wanted to ask, you mentioned on memory earlier as a sticking point in terms of inflationary costs. Different customers do this in different ways, different suppliers do this in different ways, but can you maybe talk about your procurement of memory, when that takes place, particularly on the HBM side? Is that something that gets done a year in advance, six months in advance? Different accelerator guys have talked about different timelines. Would be curious to kind of hear when you do the procurement.
Speaker #4: I just wanted to ask, you mentioned memory earlier as a sticking point in terms of inflationary cost. Different customers do this in different ways; different suppliers do this in different ways.
Speaker #4: But can you maybe talk about your procurement of memory, when that takes place, particularly on the HBM side? Is that something that gets done a year in advance, six months in advance?
Speaker #4: Different accelerator guys have talked about different timelines. Would be curious to kind of hear when you do the—
Speaker #4: Procurement. Yeah, I mean, given the lead times for
Lisa Su: Yeah, I mean, given the lead times for things like, you know, HBM and wafers and these parts of the supply chain, I mean, we're working closely with our suppliers over a multiyear timeframe, in terms of what we see in demand, you know, how we ramp, how we ensure that our development is very closely tied together. So I feel very good about our supply chain capabilities. We have been planning for this ramp. So independent of the current market conditions, we've been planning for a significant ramp, in our both CPU as well as our GPU business over the past, you know, couple of years. And so from that standpoint, I think we're well positioned to grow substantially in 2026.
Lisa Su: Yeah, I mean, given the lead times for things like, you know, HBM and wafers and these parts of the supply chain, I mean, we're working closely with our suppliers over a multiyear timeframe, in terms of what we see in demand, you know, how we ramp, how we ensure that our development is very closely tied together. So I feel very good about our supply chain capabilities. We have been planning for this ramp. So independent of the current market conditions, we've been planning for a significant ramp, in our both CPU as well as our GPU business over the past, you know, couple of years. And so from that standpoint, I think we're well positioned to grow substantially in 2026.
Speaker #2: Things like HBM and wafers and these parts of the supply chain, I mean, we're working closely with our suppliers over a multi-year timeframe.
Speaker #2: In terms of what we see in demand, how we ramp, how we ensure that our development is very closely tied together—so I feel very good about our supply chain capabilities.
Speaker #2: We have been planning for this ramp. So, independent of the current market conditions, we've been planning for a significant ramp in both our CPU as well as our GPU business over the past couple of years.
Speaker #2: And so from that standpoint, I think we're well positioned to grow substantially in 2026. And now we're also doing multi-year agreements that extend beyond that, given the tightness of the supply chain.
Lisa Su: Now we're also doing, you know, multiyear agreements that, you know, extend beyond that, given the tightness of the supply chain.
Lisa Su: Now we're also doing, you know, multiyear agreements that, you know, extend beyond that, given the tightness of the supply chain.
Speaker #4: Thanks. Just as a follow-up, you've seen a variety of different things in the industry. In terms of system accelerators, so KVCash offload, more discrete ASIC-style compute, CPX—if you look at what your competitors are doing and you look at your first generation of system architecture coming out, maybe spend some time on—do you see yourself following in the footsteps of some of these different types of architectural changes?
[Analyst] (Barclays): Thanks. Just as a follow-up, you've seen a variety of different things in the industry, in terms of system accelerators, so KV cache offload, more discrete ASIC-style compute, CPX. If you look at what your competitors are doing and you look at your first generation of system architecture coming out, maybe spend some time on, do you see yourself following in the footsteps of some of these different type of architectural changes? Do you think that you'll go in a different direction? Anything just on the evolution of your system-based architecture and then, the adjoining products, and/or silicon within. Thank you.
Tom O'Malley: Thanks. Just as a follow-up, you've seen a variety of different things in the industry, in terms of system accelerators, so KV cache offload, more discrete ASIC-style compute, CPX. If you look at what your competitors are doing and you look at your first generation of system architecture coming out, maybe spend some time on, do you see yourself following in the footsteps of some of these different type of architectural changes? Do you think that you'll go in a different direction? Anything just on the evolution of your system-based architecture and then, the adjoining products, and/or silicon within. Thank you.
Speaker #4: Do you think that you'll go in a different direction? Anything just on the evolution of your system-based architecture and then the adjoining products and/or silicon within?
Speaker #4: Thank
Speaker #4: You, I think, Tom, what we
Lisa Su: I think, Tom, what we have is the ability with a very flexible architecture, with our Triplet architecture, and then we also have a flexible platform architecture that allows us, you know, to really have, you know, different system solutions for the different requirements. I think we're very cognizant that there will be different solutions, so there's no... You know, I've often said there's no one size fits all, and I'll say that again, there's no one size fits all. But that being the case, it's clear that the rack-scale architecture is very, very good for the, you know, highest end applications when you're talking about, you know, inference, distributed inference, and training.
Lisa Su: I think, Tom, what we have is the ability with a very flexible architecture, with our Triplet architecture, and then we also have a flexible platform architecture that allows us, you know, to really have, you know, different system solutions for the different requirements. I think we're very cognizant that there will be different solutions, so there's no... You know, I've often said there's no one size fits all, and I'll say that again, there's no one size fits all. But that being the case, it's clear that the rack-scale architecture is very, very good for the, you know, highest end applications when you're talking about, you know, inference, distributed inference, and training.
Speaker #2: We have the ability with our triplet architecture, and then we also have a flexible platform with a very flexible architecture—architecture that allows us to really have different system solutions for the different requirements.
Speaker #2: We're very cognizant that there will be different, I think, solutions. So, as I've often said, there's no one-size-fits-all, and I'll say that again.
Speaker #2: There's no one-size-fits-all, but that being the case, it's clear that the rack scale architecture is very, very good for the highest-end applications when you're talking about inference, distributed inference, and training.
Lisa Su: We also see an opportunity with enterprise AI to use some of these other form factors, and so we're investing across that spectrum.
Speaker #2: But we also see an opportunity with enterprise AI to use some of these other form factors. And so we're investing across that spectrum.
Lisa Su: We also see an opportunity with enterprise AI to use some of these other form factors, and so we're investing across that spectrum.
Speaker #3: And the next question comes from the line of Ross Seymour with Deutsche Bank. Please.
Operator: The next question comes from the line of Ross Seymour with Deutsche Bank. Please proceed.
Operator: The next question comes from the line of Ross Seymour with Deutsche Bank. Please proceed.
Speaker #3: proceed. Hi, thanks for letting me ask a couple of questions.
[Analyst] (Deutsche Bank): Hi, thanks for let me ask a couple questions. I guess my first question is back on the gross margin side of things. As you go from the MI300 to the 400 to the 500 eventually, do you see any changes in the gross margin throughout that period? In the past, you've talked about optimizing dollars more so than percentages, but just on the percentage side, does it go up, down, or is there volatility as you go from one to the next, for any reason? Just wondered on the trajectory there.
Ross Seymore: Hi, thanks for let me ask a couple questions. I guess my first question is back on the gross margin side of things. As you go from the MI300 to the 400 to the 500 eventually, do you see any changes in the gross margin throughout that period? In the past, you've talked about optimizing dollars more so than percentages, but just on the percentage side, does it go up, down, or is there volatility as you go from one to the next, for any reason? Just wondered on the trajectory there.
Speaker #5: I guess my first question is back on the gross margin side of things. As you go from the MI300 to the 400 to the 500 gross margin throughout that period and eventually, do you see any changes? In the past, you've talked about optimizing dollars more so than percentages, but just on the percentage side, does it go up, down, or is there volatility as you go from one to the next for any reason?
Speaker #5: Just wondered on the trajectory there.
Jean Hu: Ross, thank you for the question. At a very high level, each generation, we actually provide much more capabilities, more memory, help our customer more. So in general, the gross margin should progress each generation when you offer more capabilities to your customers. But typically, when you first ramp, at the beginning of ramp over generation, it tends to be lower. When you get to the scale, get to the yield, the improvement, the testing improvement, and also overall performance improvement, that you will see gross margin improving within each generation. So it's a kind of a dynamic gross margin, but in the longer term, you should expect each generation should have a higher gross margin.
Jean Hu: Ross, thank you for the question. At a very high level, each generation, we actually provide much more capabilities, more memory, help our customer more. So in general, the gross margin should progress each generation when you offer more capabilities to your customers. But typically, when you first ramp, at the beginning of ramp over generation, it tends to be lower. When you get to the scale, get to the yield, the improvement, the testing improvement, and also overall performance improvement, that you will see gross margin improving within each generation. So it's a kind of a dynamic gross margin, but in the longer term, you should expect each generation should have a higher gross margin.
Speaker #2: Ross, thank you for the question. At a very high level, each generation, we actually provide much more capabilities, more memory to help our customers more.
Speaker #2: So in general, the gross margin should progress each generation when you offer more capabilities to your customers. But typically, when you first ramp at the beginning of ramp over generation, it tends to be lower.
Speaker #2: When you get to the scale, get to the yield, the improvement, the test improvement, and also overall performance improvement, you will see gross margin improving within each generation.
Speaker #2: So it's kind of a dynamic gross margin, but in the longer term, you should expect each generation should have a higher gross.
Speaker #2: margin. Thanks for that, Jean.
[Analyst] (Deutsche Bank): Thanks for that, Jean. And then one on a small segment of your business, but it seems quite volatile, and you talked a little bit about further off than you usually do, is the gaming side of things. What is the magnitude down you're talking about this year? Because in 2025, you thought it was gonna be flat, and it ended up growing 50%, which was, you know, a nice positive surprise. But now that you're talking about this year being down, but then the next gen Xbox ramping in 2027, I just hope to get some color on what you see as kind of the annual trajectory there.
Ross Seymore: Thanks for that, Jean. And then one on a small segment of your business, but it seems quite volatile, and you talked a little bit about further off than you usually do, is the gaming side of things. What is the magnitude down you're talking about this year? Because in 2025, you thought it was gonna be flat, and it ended up growing 50%, which was, you know, a nice positive surprise. But now that you're talking about this year being down, but then the next gen Xbox ramping in 2027, I just hope to get some color on what you see as kind of the annual trajectory there.
Speaker #5: And then one on a small segment of your business, but it seems quite volatile. And you talked a little bit about, further off than you usually do, is the gaming side of things.
Speaker #5: What is the magnitude down you're talking about this year? Because in 2025, you thought it was going to be flat and it ended up growing 50%, which was a nice positive surprise.
Speaker #5: But now that you're talking about this year being down, but then the next-gen Xbox ramping in 2027, I just hope to get some color on what you see as kind of the annual...
Speaker #5: trajectory there. Lisa, I
Jean Hu: Lisa can add more. So 2026, actually, it's the seventh year of our current product cycle. Typically, when you're at this stage over the cycle, revenue tend to come down. We do expect the revenue on the semi-customer revenue side to come down significantly double-digit for 2026, as Lisa mentioned in her prepared remarks. But the next generation?
Jean Hu: Lisa can add more. So 2026, actually, it's the seventh year of our current product cycle. Typically, when you're at this stage over the cycle, revenue tend to come down. We do expect the revenue on the semi-customer revenue side to come down significantly double-digit for 2026, as Lisa mentioned in her prepared remarks. But the next generation?
Speaker #2: You can add them all. So 2026, actually, it's the seventh year of the current product cycle. Typically, when you're at this stage of the cycle, revenue tends to come down.
Speaker #2: We do expect the revenue on the semi-custom revenue side to come down significantly, double-digit, for 2026, as Lisa mentioned in her prepared remarks. For the next—
Speaker #2: generation, yeah. Yeah, I think we'll, I mean, we'll—
Lisa Su: Yeah, I think we'll, I mean, we'll certainly, you know, talk about that going forward, but as we ramp the new generation, you would expect a reversal of that.
Lisa Su: Yeah, I think we'll, I mean, we'll certainly, you know, talk about that going forward, but as we ramp the new generation, you would expect a reversal of that.
Speaker #6: Certainly, we'll talk about that going forward. But as we ramp the new generation, you would expect a reversal of
Speaker #6: That. Operator, I think we have time.
Matt Ramsay: Operator, I think we have time for one more caller on the call, please. Thank you.
Matt Ramsay: Operator, I think we have time for one more caller on the call, please. Thank you.
Speaker #7: For one more caller on the call, please. Thank you.
Speaker #3: And our final question comes from the line of Jim Schneider with Goldman Sachs. Please proceed.
Operator: Our final question comes from the line of Jim Schneider with Goldman Sachs. Please proceed.
Operator: Our final question comes from the line of Jim Schneider with Goldman Sachs. Please proceed.
Speaker #8: Good afternoon. Thanks for taking my question. Relative to the ramp of your recordable systems, do you expect any kind of bottleneck in terms of supply constraints as you ramp in the second half of the year that could potentially impact or limit the revenue growth?
[Analyst] (Goldman Sachs): Good afternoon. Thanks for taking my question. You know, relative to the ramp of your rack, rackable systems, would you expect any kind of bottleneck in terms of supply constraints, in terms of the ramp as you ramp the second half of the year to potentially impact or limit the revenue growth? In other words, maybe talk about whether you expect supply to really kind of mute the growth in Q4 sequentially relative to, sorry, Q3 relative to Q4.
Jim Schneider: Good afternoon. Thanks for taking my question. You know, relative to the ramp of your rack, rackable systems, would you expect any kind of bottleneck in terms of supply constraints, in terms of the ramp as you ramp the second half of the year to potentially impact or limit the revenue growth? In other words, maybe talk about whether you expect supply to really kind of mute the growth in Q4 sequentially relative to, sorry, Q3 relative to Q4.
Speaker #8: In other words, maybe talk about whether you expect supply to really kind of mute the growth in Q3 sequentially relative to, sorry, Q4 relative to Q3.
Speaker #2: Yeah, Jim, we are planning this at the every component level. So I think, relative to our data center AI ramp, I do not believe that we will be supply-limited in terms of the ramp that we put in place.
Lisa Su: Yeah, Jim, we are planning this, with at the, you know, every component level. So I think relative to our data center AI ramp, I do not believe that we will be supply limited in terms of the ramp that we put in place. I think we have an aggressive ramp. I think it's a very doable ramp, and, as we think about the size and scale of AMD, you know, clearly our priority is ensuring that the data center ramps go very well, and that's both on the data center AI, you know, the GPU side, as well as on the CPU side.
Lisa Su: Yeah, Jim, we are planning this, with at the, you know, every component level. So I think relative to our data center AI ramp, I do not believe that we will be supply limited in terms of the ramp that we put in place. I think we have an aggressive ramp. I think it's a very doable ramp, and, as we think about the size and scale of AMD, you know, clearly our priority is ensuring that the data center ramps go very well, and that's both on the data center AI, you know, the GPU side, as well as on the CPU side.
Speaker #2: I think we have an aggressive ramp. I think it's a very doable ramp. And as we think about the size and scale of AMD, clearly, our priority is ensuring that the data center ramps go very well.
Speaker #2: And that's both on the data center AI, the GPU side, as well as on the CPU.
Speaker #8: Thank you. And maybe as a follow-up to the earlier question on OPEX, could you maybe address what are some of the largest investment areas you made in 2025?
[Analyst] (Goldman Sachs): Thank you. And then maybe as a follow-up to the earlier question on the OpEx, could you maybe address what are some of the largest investment areas you made in 2025? And then what are the largest incremental OpEx investment areas for 2026? Thank you.
Jim Schneider: Thank you. And then maybe as a follow-up to the earlier question on the OpEx, could you maybe address what are some of the largest investment areas you made in 2025? And then what are the largest incremental OpEx investment areas for 2026? Thank you.
Speaker #8: And then, what are the largest incremental OPEX investment areas for '26? Thank you.
Jean Hu: Yeah, Jim, on the 2025 investment, the priority and the investment, largest investment is in data center AI. Our hardware roadmap, we accelerated that roadmap. We expand our software capabilities. We also acquired ZT Systems, which added significant system-level solutions and capabilities. Those are the primary investment in 2025. We also invest heavily in go-to-market to really expand our go-to-market capabilities, to support the revenue growth and also expand our commercial business and enterprise business for our CPO franchise. In 2026, you should expect us to continue to invest aggressively, but as Lisa mentioned earlier, we do expect the revenue to expand faster than operating expense increase, to drive the earnings per share expansion.
Speaker #2: Yeah, Jim. On the 2025 investment, the priority and the investment—largest investment—in data center AI: our hardware roadmap, we accelerated that roadmap. We expanded our software capabilities.
Jean Hu: Yeah, Jim, on the 2025 investment, the priority and the investment, largest investment is in data center AI. Our hardware roadmap, we accelerated that roadmap. We expand our software capabilities. We also acquired ZT Systems, which added significant system-level solutions and capabilities. Those are the primary investment in 2025. We also invest heavily in go-to-market to really expand our go-to-market capabilities, to support the revenue growth and also expand our commercial business and enterprise business for our CPO franchise. In 2026, you should expect us to continue to invest aggressively, but as Lisa mentioned earlier, we do expect the revenue to expand faster than operating expense increase, to drive the earnings per share expansion.
Speaker #2: We also acquired ZT Systems, which added significant system-level solutions and capabilities. Those are the primary investment in 2025. We also invest heavily in go-to-market to really expand our go-to-market capabilities to support revenue growth and also expand our commercial business and enterprise business for our CPU franchise.
Speaker #2: In 2026, you should expect us to continue to invest aggressively, but as Lisa mentioned earlier, we do expect revenue to expand faster than operating expense increase.
Speaker #2: To drive the earnings per share expansion.
Speaker #7: All right. Thank you, everybody, for participating on the call. Operator, I think we can go ahead and close the call now. Thank you. Good.
Matt Ramsay: All right. Thank you, everybody for participating on the call. Operator, I think we can go ahead and close the call now. Thank you. Good evening.
Matt Ramsay: All right. Thank you, everybody for participating on the call. Operator, I think we can go ahead and close the call now. Thank you. Good evening.
Speaker #7: evening. Thank you.
Operator: Thank you. And ladies and gentlemen, that does conclude the question and answer session, and that also concludes today's teleconference. You may disconnect your lines at this time and have a great rest of the day.
Operator: Thank you. And ladies and gentlemen, that does conclude the question and answer session, and that also concludes today's teleconference. You may disconnect your lines at this time and have a great rest of the day.
Speaker #3: And ladies and gentlemen, that does conclude the question and answer session. And that also concludes today's teleconference. You may disconnect your lines at this time, and have a great rest of the day.
