tl;dr: OpenAI announced its first custom inference chip, codenamed Jalapeño, developed with Broadcom and reportedly designed with help from OpenAI's own AI models. The chip targets inference workloads (not training) and claims significantly better performance-per-watt than current alternatives, aimed at reducing reliance on Nvidia GPUs and cutting operating costs for running models like Codex. It follows similar custom-silicon moves by Google and Amazon, and is still in testing.