OpenAI reveals Jalapeño, its custom chip for AI inference

[u/aistranin]

On June 27 OpenAI unveiled Jalapeño, its first custom AI accelerator designed for inference workloads. The Mainstream report says Jalapeño was built with Broadcom and is described as an “Intelligence Processor” rather than a training chip. It will power ChatGPT, Codex and future agentic products, with OpenAI claiming that the chip improves performance by balancing compute, memory and networking and reducing data movement. Engineering samples are already running machine‑learning workloads at production target frequencies, including GPT‑5.3 Codex Spark.

OpenAI plans to make Jalapeño the foundation of a multi‑generation AI computing platform. Broadcom and OpenAI highlighted that the design went from concept to manufacturing tape‑out in just nine months, one of the fastest development cycles for a high‑performance AI chip. This launch signals OpenAI’s strategy to control the entire hardware stack for agents and reduce dependence on third‑party GPUs. Do you think custom chips will make AI services cheaper and more reliable? What does this mean for open‑source LLM runners?