OpenAI and Cerebras have signed a multi-year agreement to deploy 750 megawatts of Cerebras wafer-scale AI systems to support OpenAI customers, creating what the companies describe as the world’s largest high-speed AI inference deployment, with rollout beginning in 2026. The partnership reflects a long-shared vision between the two organizations to align next-generation AI models with breakthrough hardware architectures as model scale and real-time performance become critical to broad AI adoption. Cerebras’ wafer-scale processors are designed to deliver up to 15 times faster inference than GPU-based systems, enabling low-latency experiences for applications such as coding agents and voice-based AI, while driving productivity gains across the economy.
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The deployment supports OpenAI’s strategy of diversifying its compute infrastructure to optimize performance for different workloads. “OpenAI’s compute strategy is to build a resilient portfolio that matches the right systems to the right workloads. Cerebras adds a dedicated low-latency inference solution to our platform. That means faster responses, more natural interactions, and a stronger foundation to scale real-time AI to many more people,” said Sachin Katti of OpenAI.