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OpenAI says its Jalapeno AI chip delivers faster responses than rivals like Nvidia
OpenAI said Jalapeño delivered 1.5 to 3.6 times better power efficiency and latency than Nvidia’s GB300 in benchmark tests.
- 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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13 Articles
13 Articles
·Arlington, United States
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OpenAI says its Jalapeno AI chip delivers faster responses than rivals like Nvidia
OpenAI released benchmark results showing its Jalapeno chip, co-developed with Broadcom, delivers up to 1.9 times more AI work per watt and 3.6 times lower latency than Nvidia's top chips.
·Portland, United States
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OpenAI's Jalapeno chip outperformed the GB300 on power and speed, according to OpenAI
OpenAI says its Jalapeno inference chip, developed with Broadcom, outperformed Nvidia’s GB300 on AI work per unit of power and on response speed. It was not tested against Nvidia’s newer Vera Rubin hardware and is not designed for training. OpenAI has published numbers for the chip it built to need Nvidia less. It says Jalapeno, […] This story continues at The Next Web
·Amsterdam, Netherlands (Kingdom of the)
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Total News Sources13
Leaning Left2Leaning Right2Center4Last UpdatedBias Distribution50% Center
Bias Distribution
- 50% of the sources are Center
50% Center
L 25%
C 50%
R 25%
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