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Chips — AI news & analysis
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Every Pick Right story tagged chips — 2 articles, newest first. All news →
OpenAI's Jalapeño chip posts its first numbers — and it still can't escape the memory squeeze
OpenAI published Jalapeño's first benchmark results on 25 August 2026: 1.5-1.9x more throughput per kilowatt and up to 3.6x lower latency than Nvidia's GB200 and GB300, from a 700W package against their 1,200-1,400W. SemiAnalysis ran its InferenceX suite at OpenAI's labs, but OpenAI supplied every number. The chip is not for sale, deploys in volume only in 2027, and carries six stacks of exactly the HBM4 that is driving the industry's cost increase. Here is what it changes for a buyer, and what it does not.
Read story →OpenAI unveils Jalapeño, its first custom AI chip — built with Broadcom for LLM inference, deploying by end of 2026
OpenAI and Broadcom announced Jalapeño on June 24, 2026 — OpenAI's first custom 'Intelligence Processor,' an accelerator designed from the ground up for LLM inference. Co-developed with Broadcom and Celestica, it went from design to tape-out in nine months (reportedly the fastest ASIC cycle ever), with OpenAI's own models used to speed development. OpenAI claims performance-per-watt 'substantially better' than current state of the art. Initial deployment is end of 2026 at gigawatt scale with Microsoft and other partners. OpenAI joins Google, Amazon, Microsoft, and Anthropic in building its own silicon — here's what it means for the AI tools you use.
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