OpenAI 2026-06-25
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OpenAI and Broadcom unveil Jalapeño inference ASIC to bypass NVIDIA GPU dependency

Summary

OpenAI and Broadcom launch Jalapeño, a custom ASIC for LLM inference, achieving tape-out in 9 months. OpenAI designs architecture, Broadcom provides networking, Celestica handles integration. Planned for large-scale deployment by end-2026 with gigawatt-scale datacenters, aiming to cut inference costs and reduce NVIDIA dependency.

Key Takeaways

OpenAI and Broadcom jointly unveil Jalapeño, a custom ASIC for LLM inference. OpenAI handles architecture, Broadcom handles tape-out and networking (including Tomahawk 5 switch chips), Celestica provides board/rack integration. Tape-out achieved in 9 months, claimed fastest ASIC development cycle in AI accelerators. Engineering samples validated, running GPT-5.3-Codex-Spark workloads. Early tests show significantly better performance-per-watt than current state-of-the-art. President Greg Brockman calls it part of long-term full-stack infrastructure strategy. Hardware lead Richard Ho says optimization focuses on critical kernel, memory movement, networking, and service model. Jalapeño is first step in multi-generational compute platform, targeting large-scale deployment by end-2026 with gigawatt-scale datacenter clusters.

Source: OpenAI
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