OpenAI says its Jalapeño chip can power faster AI responses than the competition
Emma Roth is a news writer who covers the streaming wars, consumer tech, crypto, social media, and much more. Previously, she was a writer and editor at MUO.

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Key Facts
- Fact 1: The test compared Jalapeño’s performance against the best results recorded at the time, which were with Nvidia’s GB200 or GB300 superchips.
- Fact 2: OpenAI says Jalapeño delivered 1.5 to 1.9 times more AI work per watt across GPT-OSS 120B, DeepSeek R1, and Kimi K2.5 1T than the comparison systems, while offering 1.7 to 3.6 times lower end-to-end latency across the three models.
- Fact 3: OpenAI plans to deploy Jalapeño in “small volumes” by the end of this year, but will begin to “ramp the volume up” into 2027, Ho added.
Emma Roth is a news writer who covers the streaming wars, consumer tech, crypto, social media, and much more. Previously, she was a writer and editor at MUO.
OpenAI says its new AI chip, Jalapeño, completes tasks more efficiently and returns responses faster than other AI systems, according to a blog post published on Tuesday. During a briefing with reporters, OpenAI hardware vice president Richard Ho said Jalapeño offers the “best of both worlds” with lower latency and higher throughput, as AI systems typically “have to make a trade-off between the two.” First introduced in June, Jalapeño is an Application-Specific Integrated Circuit (ASIC) made in partnership with Broadcom. It’s designed for AI inference — the process of running a trained AI model to complete a task or deploy an agent.
(Original synthesis pending human/AI review — generated by the stub provider by selecting real sentences from the source material, not by writing new analysis or commentary.)
Original source: The Verge
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