OpenAI builds Control Room to track and halt model workloads across research infrastructure

Control Room: A central system to track and stop model workloads across our research infrastructure

OpenAI has deployed a Control Room across its research infrastructure that tracks model workloads and blocks further model output within 35 seconds of a stop order. The system checks authorization by job_id at the inference engine layer, so it can stop a job through the monitoring system without relying on the job's own code to run stop checks. If the Control Room service fails, it rejects inference requests; this fail-closed mechanism already covers all frontier model research workloads, with the remaining research workloads to be deployed in the coming days.

Why it matters: OpenAI puts the stop mechanism for research jobs at the inference layer, so safety control depends less on fast-changing job code while other authorized jobs keep running.