OpenAI Partners with Cerebras to Bring High-Speed Inference to the Mainstream

Cerebras, the world’s fastest AI inference and training platform, led by Andrew Feldman and others, has signed a multi-year agreement with OpenAI to deploy 750 megawatts of Cerebras wafer-scale systems to serve OpenAI customers. This deployment will roll out in multiple stages beginning in 2026, making it the largest high-speed AI inference deployment in the world.

A decade of parallel ambition brought OpenAI and Cerebras together, two companies founded at the same time with bold visions: one focused on AGI-driven software, the other on reinventing chipmaking with a wafer-scale processor beyond Moore’s Law. Collaboration since 2017 revealed an inevitable convergence of model scale and hardware architecture, a moment that has now arrived.

ChatGPT set the industry’s direction and demonstrated the potential of AI, shifting the challenge from proof to broad accessibility. History shows that technological adoption is driven by speed, just as the PC era surged through leaps in processing power and the internet transformed through the jump from dial-up to broadband.

Cerebras provides the high-speed infrastructure needed for real-time AI, delivering responses up to 15× faster than GPU systems. This acceleration enables richer interactions, new applications, and major productivity gains as AI agents expand across the global economy.

“Cerebras adds a dedicated low-latency inference solution to our platform, enabling faster responses and more natural interactions,” said Sachin Katti of OpenAI.

The 2026 collaboration marks a major milestone for Cerebras, bringing wafer-scale technology to hundreds of millions, and eventually billions, of users and setting the foundation for fast, frontier-grade AI worldwide.