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OpenAI reveals its first AI processor: Jalapeño

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Why This Matters

OpenAI has introduced Jalapeño, its first AI-specific processor developed with Broadcom, designed to enhance AI inference capabilities and reduce reliance on Nvidia GPUs. This move signifies a strategic step towards custom hardware tailored for large language models, aiming for improved performance and efficiency. The development highlights the growing trend of AI companies investing in specialized chips to optimize AI workloads and maintain competitive advantage.

Key Takeaways

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OpenAI has just revealed a new “intelligence processor” chip for AI servers made in partnership with Broadcom. The chip, called Jalapeño, is designed to power current and future large language models, according to an announcement on Wednesday.

Jalapeño is an ASIC (Application-Specific Integrated Circuit), meaning it’s designed for a specific purpose: AI inference. With AI inference, models process a user’s request to run an agent like Codex or offer a response from ChatGPT, while AI training involves a model consuming vast amounts of data to inform its responses.

It comes just nine months after OpenAI revealed that it would team up with Broadcom to make its own chips, helping reduce the company’s reliance on the GPUs offered by Nvidia that are in limited supply. In an interview with Reuters, Broadcom CEO Hock Tan says it matches the performance of Nvidia’s Blackwell chips and Google’s Tensor processing units. Microsoft, Meta, and Amazon are among the other AI companies that have also launched custom-designed AI chips recently to power their servers for either training or inference, while still trailing Nvidia’s chips on overall performance.

OpenAI calls Jalapeño the “first step in a multi-generation compute platform,” which it expects to deploy by the end of 2026. “While OpenAI is still measuring final performance, early testing shows that Jalapeño will deliver performance per watt substantially better than current state-of-the-art,” OpenAI says.