OpenAI has announced its first custom AI inference chip, Jalapeño, developed in partnership with Broadcom to reduce reliance on Nvidia GPUs, with deployment expected by the end of 2026.
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<p class="wp-block-paragraph">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, <a href="https://openai.com/index/openai-broadcom-jalapeno-inference-chip/">according to an announcement</a> on Wednesday.</p>
<p class="wp-block-paragraph">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.</p>
<p class="wp-block-paragraph">It <a href="https://www.theverge.com/news/798827/openai-broadcom-custom-ai-chips">comes just nine months</a> after OpenAI revealed that it would team up with Br …</p>
<p><a href="https://www.theverge.com/ai-artificial-intelligence/955939/openai-reveals-its-first-ai-processor-jalapeno">Read the full story at The Verge.</a></p>
# OpenAI reveals its first AI processor: Jalapeño
Source: [https://www.theverge.com/ai-artificial-intelligence/955939/openai-reveals-its-first-ai-processor-jalapeno](https://www.theverge.com/ai-artificial-intelligence/955939/openai-reveals-its-first-ai-processor-jalapeno)
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Emma Roth
is a news writer who covers the streaming wars, consumer tech, crypto, social media, and much more\. Previously, she was a writer and editor at MUO\.
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](https://openai.com/index/openai-broadcom-jalapeno-inference-chip/)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](https://www.theverge.com/news/798827/openai-broadcom-custom-ai-chips)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*](https://www.reuters.com/world/asia-pacific/openai-unveils-custom-chip-it-designed-with-broadcom-boost-its-ai-infrastructure-2026-06-24/), Broadcom CEO Hock Tan says it matches the performance of Nvidia’s Blackwell chips and Google’s Tensor processing units\.[Microsoft](https://www.theverge.com/2023/11/15/23960345/microsoft-cpu-gpu-ai-chips-azure-maia-cobalt-specifications-cloud-infrastructure),[Meta](https://www.theverge.com/2024/4/10/24125924/meta-mtia-ai-chips-algorithm-training), and[Amazon](https://www.theverge.com/24338171/aws-ceo-matt-garman-ai-chips-anthropic-cloud-computing-trainium-decoder-podcast-interview)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\.
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- Emma Roth
OpenAI unveiled its first custom-built inference processor, named Jalapeño, developed with Broadcom to improve performance-per-watt and reduce reliance on Nvidia GPUs.
OpenAI's Jalapeño chip, developed with Broadcom, shows significant performance gains in AI inference benchmarks, surpassing state-of-the-art processors like Nvidia's Blackwell. The chip is optimized for fast, efficient inference at scale, with deployment starting in late 2026.
OpenAI and Broadcom unveiled Jalapeño, a custom LLM-optimized inference chip that promises substantially better performance per watt than current state-of-the-art, designed from the ground up for current and future AI models.
OpenAI's Jalapeño AI chip delivers 1.5 to 1.9 times more work per watt and lower latency than Nvidia's chips, with deployment starting in small volumes by end of year.