All the focus around Jalapeño seems centered on performance vis-a-vis Nvidia, but the engineering velocity behind it is truly remarkable. Some highlights from the @hotchipsorg talk: 1. Building custom chips used to require massive armies of engineers and multi-year timelines. OpenAI went from initial RTL code to tapeout in just 9 months using XLS (a Rust-like language for hw from Google) and AI-driven co-design. 2. An AI loop took a raw, barely functional (DeepSeek) kernel running at 0.31%…

OpenAI@OpenAIAug 25

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 sacrificing efficiency.