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OpenAI says its Jalapeño chip can power faster AI responses than the competition
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Jalapeño outperformed Nvidia’s superchips on an AI inference benchmark test.
Jalapeño outperformed Nvidia’s superchips on an AI inference benchmark test.
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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.
To measure Jalapeño’s performance, OpenAI used InferenceX, a benchmarking platform that shows how well AI systems handle inference. The test compared Jalapeño’s performance against the best results recorded at the time, which were with Nvidia’s GB200 or GB300 superchips. 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. That means the chip can provide users with “faster responses, more responsive agents, and more reliable access as the demand grows,” according to Ho.