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AI Chips Update - NVIDIA Partners With Navitas For Next-Gen Data Center Power

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AI Chips Update - NVIDIA Partners With Navitas For Next-Gen Data Center Power

NVIDIA is partnering with Navitas Semiconductor to develop an 800V HVDC architecture for data centers, utilizing Navitas' GaN and SiC technologies to improve efficiency and reliability for AI workloads. This transition from 54V systems will reduce copper usage and improve power delivery, addressing the increasing power demands of AI data centers. In related news, Marvell Technology shares rose 2.9%, while Analog Devices declined 4.6% despite strong earnings and guidance.

Analysis

NVIDIA's collaboration with Navitas Semiconductor to develop a next-generation 800V HVDC architecture for data centers, utilizing Navitas' GaN (Gallium Nitride) and SiC (Silicon Carbide) technologies, signifies a strategic move to address the escalating power demands of AI workloads. This transition from traditional 54V systems aims to enhance power efficiency and reliability, crucial for AI infrastructure, while also promising significant reductions in copper usage and simplifying overall power delivery infrastructure. This development underscores the industry's focus on high-efficiency power solutions to support computationally intensive AI. NVIDIA's stock reflected positive sentiment, closing at $132.83, up 0.8%. In the broader market context, Marvell Technology also saw gains, rising 2.9% to $61.85. Conversely, Analog Devices experienced a notable decline of 4.6% to $211.93, despite reporting strong year-over-year Q2 earnings growth and providing optimistic forward guidance, indicating a potential market disconnect or profit-taking. Other AI-related chip stocks showed mixed performance: ASML Holding decreased by 1.2% to €656.80, and Advanced Micro Devices (AMD) fell 1.2% to $110.71, even after AMD announced new AI-focused products and a strategic collaboration with Red Hat two days prior. QUALCOMM also traded down 2.6% to $147.37, highlighting diverse investor reactions within the semiconductor sector despite generally positive AI tailwinds.

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