OpenAI Shares Test Results for Jalapeño Inference Chip
OpenAI highlights efficiency and speed gains from its first custom inference chip.
OpenAI posted that testing of Jalapeño, its first custom inference chip, shows more intelligence per watt along with higher throughput and lower latency without efficiency tradeoffs. The company described the results as a major advance in the system around the chip. Industry observers including former OpenAI staff noted performance edges over Nvidia hardware on certain workloads. Some replies raised separate concerns about faster inference enabling new security risks for frontier models.
Since announcing Jalapeño, our first custom inference chip, we’ve been testing it and the system around it. The results show a major advance: more intelligence from every watt and faster responses, delivering both higher throughput and lower latency in one architecture without…
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18 postsLF 
Liam Fedus@LiamFedusData centers are power-limited and OpenAI's Jalapeño sets new frontiers for tokens per second per watt. Impressive and fast work from OpenAI's ASIC program. https://twitter.com/SemiAnalysis_/status/2092253723640598761
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YJ You Jiacheng@YouJiachengNo MTP, No PD disaggregation, Pure TP, still beats NVIDIA's Vera Rubin NVL72 on a third-party model, with A0 stepping. And B0 is 25% better. NVIDIA GPUs become HBM wrappers.
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OP OpenAI@OpenAISince announcing Jalapeño, our first custom inference chip, we’ve been testing it and the system around it. The results show a major advance: more intelligence from every watt and faster responses, delivering both higher throughput and lower latency in one architecture without…
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SZ Susan Zhang@suchenzangsecond times the charm, $NVDA lets see where you land https://twitter.com/openai/status/2092300846675505602
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TM Tanishq Mathew Abraham, Ph.D.@iScienceLuvr@itsclivetime congrats to you for your work on this!
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RO roon@tszzlultrafast inference reveals new threats. worth thinking about how quickly misaligned frontier class models running 50x faster could infiltrate systems and so on— far too quickly for human responders to stay abreast. you need autonomous detection and shutdown, not just monitoring…
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