OpenAI Launches Jalapeño Inference Chip Benchmarks

OpenAI released performance benchmarks for its Jalapeño AI chip, showing 128-chip configurations delivering 1.7 exaFLOPS and 27 TB of HBM, outperforming Nvidia Blackwell on inference tasks. This marks OpenAI's first proprietary silicon entering direct competition with incumbent AI chip suppliers.

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OpenAI's Jalapeño chip entering inference benchmarks signals a structural shift where major AI model providers vertically integrate into silicon, reducing dependence on Nvidia and AMD. This follows a pattern already established by Google TPUs and Amazon Trainium, now expanding to the dominant foundation model provider. Nvidia faces margin pressure as its largest customer develops competing inference hardware. HBM suppliers like SK Hynix and Samsung could benefit from new demand, but also face customer concentration risk as OpenAI controls its own stack. The event accelerates the bifurcation of AI infrastructure into hyperscaler-owned silicon versus merchant silicon markets.