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OpenAI's Jalapeño ASIC benchmarks show performance gains over Nvidia GPUs

By PulseAugur Editorial · [1 sources] ·

OpenAI has developed its own 700W inference ASIC, codenamed Jalapeño, in collaboration with Broadcom. Benchmarks presented by OpenAI suggest that Jalapeño outperforms Nvidia's GB200 and GB300 GPUs in throughput per kilowatt and latency, particularly on open-source models like GPT-OSS 120B and Moonshot AI's Kimi K2.5. The company plans to deploy these chips in its own data centers later this year, potentially impacting the high-bandwidth memory (HBM) supply chain as it scales up. AI

IMPACT This development could signal a shift in AI hardware development, potentially impacting the supply chain for high-bandwidth memory and challenging Nvidia's dominance in AI accelerators.

RANK_REASON OpenAI's announcement of its own inference ASIC with performance benchmarks against a major competitor's flagship GPU. [lever_c_demoted from significant: ic=1 ai=0.7]

Read on Tom's Hardware →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

OpenAI's Jalapeño ASIC benchmarks show performance gains over Nvidia GPUs

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3 / 100
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OpenAI's announcement of its own inference ASIC with performance benchmarks against a major competitor's flagship GPU. [lever_c_demoted from significant: ic=1 ai=0.7]
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Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
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High
Clearly on-topic for AI-industry coverage.
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COVERAGE [1]

  1. Tom's Hardware TIER_1 English(EN) · Luke James ·

    OpenAI’s 700W Jalapeño ASIC outpaces 1,400W Nvidia flagship GPU — claims up to 1.9x throughput per kilowatt and 3.6x lower latency, co-developed with Broadcom

    OpenAI arrived at Hot Chips on Tuesday with benchmarks claiming its first in-house chip beats Nvidia's GB300.

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