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OpenAI Chip Beats Nvidia Systems with 1.9x More Work per Watt

  • On Tuesday, OpenAI presented benchmark results at the Hot Chips conference showing its custom Jalapeño inference chip outperforms Nvidia's GB300 system in AI work per unit of power and response speed.
  • Developed in collaboration with Broadcom, the Jalapeño chip is the first in OpenAI's custom silicon series, designed partly by AI to streamline inference tasks for ChatGPT and future products.
  • Testing on the InferenceX benchmark shows Jalapeño delivers 1.5 to 1.9 times more AI work at peak throughput and 1.7 to 3.6 times lower latency, while operating at 700 watts.
  • OpenAI plans to deploy Jalapeño in small volumes by late 2026, with significant production in 2027, though the company will continue relying on Nvidia GPUs for compute-heavy model training.
  • As OpenAI joins Google, Amazon, and Anthropic in building custom silicon, industry analysts caution that vendor-supplied benchmarks should be verified independently before confirming these performance claims.
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(Seoul = Yonhap News) Reporter Jung Joo-ho = OpenAI's self-developed AI chip 'Jalapeno' has outperformed Nvidia's current product line in performance tests...

·Seoul, Korea (the Republic of)
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Wccftech broke the news on Tuesday, August 25, 2026.
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