OpenAI is expanding its inference infrastructure through a multi-year partnership with Cerebras, aiming to support faster responses for real-time AI workloads. The centerpiece is GPT-5.6 Sol Ultrafast, a Cerebras-backed deployment that OpenAI says can reach up to 750 tokens per second during a limited preview. For enterprises, the development is less about a minor model setting and more about whether frontier-model intelligence can be used in workflows where latency materially affects the experience or business process.
OpenAI's official Cerebras partnership announcement confirms plans for 750 megawatts of ultra-low-latency AI inference capacity for OpenAI customers. The capacity is scheduled to come online in multiple tranches through 2028, making the agreement a long-term infrastructure expansion rather than a one-off model launch.
What the OpenAI and Cerebras partnership changes
OpenAI is adding Cerebras wafer-scale compute to its inference stack. The stated objective is to provide faster responses and enable real-time AI experiences across customer workloads. Cerebras has separately identified GPT-5.6 Sol as the model used for the Ultrafast deployment, positioning the offering around high-speed access to OpenAI's flagship GPT-5.6 family model.
