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OpenAI and Broadcom Reveal First Custom AI Chip Called Jalapeño

OpenAI and Broadcom have unveiled their first jointly developed custom chip, named Jalapeño, eight months after announcing their partnership.

OpenAI and Broadcom on Monday pulled back the curtain on Jalapeño, their first co-developed custom AI chip, marking a significant milestone in the companies' eight-month-old hardware partnership aimed at giving OpenAI greater control over its computing infrastructure.

The unveiling signals OpenAI's accelerating push to own more of the technology stack that powers its artificial intelligence models, reducing its dependence on third-party silicon suppliers and giving the ChatGPT maker a more direct path to optimizing hardware for its specific workloads.

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By partnering with Broadcom — one of the world's leading semiconductor and networking companies — OpenAI gains access to deep chip-design expertise while pursuing what the company has described as an ambition to 'build the full stack,' encompassing software, models, and now purpose-built hardware.

The move places OpenAI alongside rivals like Google, which has long relied on its proprietary Tensor Processing Units, and Amazon and Microsoft, which have each developed custom silicon for their cloud platforms. A homegrown chip strategy can meaningfully cut costs and improve performance at the massive scale AI inference and training demand.

Continue reading at US Top News and Analysis for the latest details on Jalapeño's specifications and OpenAI's broader hardware roadmap.

Continue reading at US Top News and Analysis →

Frequently Asked Questions

Q.What is the name of OpenAI and Broadcom's first custom chip?

The chip is called Jalapeño. It is the first product to emerge from OpenAI and Broadcom's custom chip partnership.

Q.How long has OpenAI's chip deal with Broadcom been in place?

OpenAI and Broadcom announced their custom chip deal approximately eight months before unveiling Jalapeño.

Q.Why is OpenAI developing its own custom chip?

OpenAI has stated a goal to 'build the full stack,' suggesting the company wants greater control over the hardware that powers its AI models rather than relying solely on outside suppliers.

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