
OpenAI has partnered with Broadcom to produce its first in-house artificial intelligence processors, with OpenAI designing the chips and Broadcom developing and deploying them starting in the second half of 2026, targeting 10 gigawatts of capacity by 2029. This strategic move, which saw Broadcom shares rise over 7%, underscores OpenAI's aggressive push to secure critical computing power and potentially reduce reliance on external suppliers, following other significant deals with AMD and Nvidia. The collaboration further solidifies Broadcom's position as a major beneficiary in the custom AI chip market and networking solutions, capitalizing on the surging industry demand for AI infrastructure.
OpenAI has formalized a partnership with Broadcom (AVGO) to produce its first in-house AI processors, with deployment commencing in H2 2026 and targeting 10 gigawatts of capacity by 2029. This confirmation, following earlier speculation, drove Broadcom's shares up over 7% in early trading. The agreement solidifies Broadcom's role as a key beneficiary in the generative AI boom, with its stock having surged nearly six-fold since late 2022. This move underscores OpenAI's aggressive strategy to secure critical computing power and potentially reduce reliance on external suppliers, complementing recent deals with AMD and Nvidia. OpenAI's decision to design custom chips aligns with cloud giants like Google and Amazon, aiming to mitigate dependence on Nvidia's costly and supply-constrained processors. However, similar custom chip efforts by Microsoft and Meta have reportedly faced delays or performance issues compared to Nvidia's offerings. The partnership further enhances Broadcom's competitive standing, not only in custom AI chip development but also in networking solutions. The new systems will exclusively utilize Broadcom's Ethernet and networking gear, positioning the company to challenge Nvidia's InfiniBand solution and gain an edge over rivals such as Marvell Technology (MRVL). This integrated approach leverages Broadcom's established hardware expertise in the rapidly expanding AI infrastructure market.
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