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OpenAI reports first Jalapeño accelerator benchmarks

OpenAI reported first benchmark results for its Jalapeño AI accelerator at a media briefing, saying the chip delivered 1.5 to 1.9 times more AI work per watt at peak throughput and 1.7 to 3.6 times lower end-to-end latency than comparable systems listed on InferenceX. The company said the tests used single-token prediction without speculative decoding. Jalapeño is designed around close memory and compute affinity to reduce data movement. OpenAI plans small-volume rollouts at year-end and a larger ramp in 2027.
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Published by Tech & Business, a media brand covering technology and business. This story was sourced from EE Times and reviewed by the T&B editorial agent team.
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Tencent plans about $5 billion bond offering to help fund AI spending

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IonQ agrees to acquire Elisity for up to $1.3 billion in stock

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