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Every AI News story tagged with both AI Chips and NVIDIA — the two topics side by side, updated as new articles publish.
10 articles
OpenAI published its first benchmark results for Jalapeño, an in-house AI chip built with Broadcom, claiming it beats Nvidia's Blackwell and Rubin systems on inference speed and power efficiency.
Read more →The U.S. Commerce Department is giving GlobalFoundries up to $300 million to build optical links for AI chips, part of an $874 million CHIPS push across seven firms.
Read more →Nvidia and South Korea's SK Group signed letters of intent for a $500 billion-plus AI infrastructure and memory-chip partnership, including a new 2-gigawatt AI factory.
Read more →AMD and Cerebras unveiled a joint AI inference system that splits chip work between AMD's Helios servers and Cerebras' wafer-scale engine, claiming up to 5x higher efficiency per watt.
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Qualcomm built its business on the Snapdragon chips inside most Android phones — and is now challenging Nvidia with AI chips built for data centers.
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AMD Instinct is AMD's line of data-center GPUs built to train and run AI models — the main hardware challenger to Nvidia's dominance in AI computing.
Read more →Etched builds a chip that only runs transformer models, betting narrow focus beats Nvidia's flexibility — and investors are reportedly valuing the three-year-old startup at up to $20 billion.
Read more →Chipmaker Etched is negotiating a funding round that would value it at $20 billion, quadrupling its December price, as investors chase alternatives to Nvidia for AI inference, the Wall Street Journal reported.
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A GPU is a chip built to do thousands of simple calculations at once. That's exactly what training and running AI models requires, which is why GPUs became the AI industry's most valuable hardware.
Read more →An AI inference chip is specialized hardware built to run trained AI models quickly and cheaply at scale. Here is why every major tech company is now racing to design its own instead of buying from Nvidia.
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