OpenAI's Jalapeño chip targets fast inference at scale, first benchmarks show

OpenAI’s Jalapeño chip is built for fast inference at scale, benchmarks show

OpenAI shared the first benchmarks for its in-house inference chip, Jalapeño, at Hot Chips. On SemiAnalysis' InferenceX test, it delivered more tokens per user and higher throughput per kilowatt than the current state-of-the-art. The post doesn't name the competitor or disclose latency figures. I'd hold off until third-party numbers land.

Why it matters: First public benchmarks for OpenAI's custom inference chip, with SemiAnalysis data — strong topic pull. But no latency figures, no named competitors, and no independent testing, so the score stays at 78.