OpenAI buys 750MW of wafer-scale inference from Cerebras
OpenAI and Cerebras announced a multi-year agreement to deploy 750 megawatts of wafer-scale systems, coming online in tranches through 2028. OpenAI framed it as portfolio thinking — matching systems to workloads — with 750MW dedicated to low-latency inference.
Cerebras claims up to 15x faster responses than GPU-based systems and called it the largest high-speed inference deployment in the world. The deal reportedly exceeds $10B and diversifies Cerebras away from G42, which supplied 87% of its first-half 2024 revenue.

WHY IT MATTERS
Inference speed is becoming a product feature rather than a cost line: an extra second of decode changes what users will actually ask a coding or voice agent to do. A frontier lab routing hundreds of megawatts to non-GPU silicon is also a real crack in Nvidia's default position.

