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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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OpenAI’s self-developed AI chip, ‘Jalapeno,’ has been shown to outperform Nvidia’s product line in performance tests. Richard Ho, OpenAI’s Head of Hardware, stated in an interview with Bloomberg on the 25th (local time) that the self-developed Jalapeno surpassed Nvidia’s ‘GB300,’ the highest-performing chip, in metrics such as AI workload processing capacity per unit of power and response speed. He added that Jalapeno will be released within the…

(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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