Jalapeño’s first results show industry-leading speed and efficiency in AI inference
Jalapeño is a custom inference chip from OpenAI that delivers faster, more power-efficient AI inference, with higher throughput and lower latency for modern models.
OpenAI has announced results from Jalapeño, its first custom inference chip designed specifically for serving AI models. The chip achieves industry-leading performance by delivering more AI work per unit of power while also returning responses more quickly, addressing a traditional tradeoff where existing hardware systems usually have to choose between speed or efficiency. This matters because faster responses and greater efficiency can make AI more affordable and broadly available, particularly for interactive agents that require multiple sequential steps where delays compound. The chip was designed by considering hardware, memory, software, and systems together around real language-model workloads, with AI playing a direct role in the chip's development and programming.
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Also reported by The Verge, SiliconANGLE and MarkTechPost
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Also reported by SiliconANGLE
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