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OpenAI's Jalapeño chip demonstrates a significant efficiency leap in AI inference by optimizing data movement and reducing latency bottlenecks compared to current Nvidia Blackwell systems. Developed jointly with Broadcom, the hardware aims to serve more tokens per user while maintaining low power consumption, though full-scale deployment is not expected until 2027.
Sources coveringTechCrunch, Interconnects, Latent Space, Fortune
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OpenAI’s Jalapeño chip is built for fast inference at scale, benchmarks show

TechCrunch2 min read

Tested on SemiAnalysis’ InferenceX benchmark, Jalapeño registered both more tokens per user and more throughput per kilowatt than the currently available state-of-the art.

At the Hot Chips conference on Tuesday, OpenAI shared a more detailed look at Jalapeño, including the first batch of benchmark results for the new system. Tested on Semianalysis’s InferenceX benchmark, Jalapeño registered both more tokens per…

Excerpt shown under the publisher's RSS terms · 37 words · full text and figures are on the publisher's site

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