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'We Made A Chip And It Is Fast': OpenAI Unveils Jalapeno AI Inference Chip With Major Gains In Speed, Latency And Power Efficiency

California: OpenAI has announced results from testing Jalapeno, its first custom inference chip, saying the in-house silicon delivers higher throughput, lower latency and greater power efficiency across multiple AI models. Since announcing Jalapeño, our first custom inference chip, we’ve been testing it and the system around it. The results show a major advance: more intelligence from every watt…

'We Made A Chip And It Is Fast': OpenAI Unveils Jalapeno AI Inference Chip With Major Gains In Speed, Latency And Power Efficiency

We haven't written up this one. Free Press Journal has the full story — the link below goes straight to it.

Read the original at freepressjournal.in →

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When should Codex use multiple agents? A benchmark, not a slogan

More agents do not automatically produce better engineering. They usually add total tokens, duplicated context, handoff delay, and integration risk. Their defensible advantages are narrower: reduced elapsed time for independent work, isolated investigation, or specialist evidence that one agent might omit.

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