Meta has undergone a significant transformation in its data centers to accommodate the growing demands of artificial intelligence (AI) workloads. The company has built one of the world’s largest AI training infrastructures, comprising dozens of AI clusters of varying sizes, with plans to scale to 600,000 GPUs in the next year. This infrastructure supports thousands of training jobs every day from hundreds of different Meta teams, with characteristics that vary greatly in terms of size, duration, and hardware dependencies. To maintain this complex infrastructure, Meta has developed innovative solutions, including “maintenance trains” that ensure capacity predictability, gradual rollouts of new components, and an ops orchestrator called OpsPlanner that serializes and coordinates overlapping operations. These solutions have enabled Meta to maintain its training clusters while guaranteeing capacity and minimizing disruptions. As Meta continues to pioneer the future of generative AI, its infrastructure innovations will play a crucial role in shaping the industry’s trajectory.

Meta’s AI Infrastructure Revolution
Meta has built one of the world’s largest AI training infrastructures, comprising dozens of AI clusters of varying sizes, with plans to scale to 600,000 GPUs in the next year.
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