Inside Prometheus: How Meta Builds an AI Supercluster

What does it take to make hundreds of thousands of GPUs work together? We step inside Prometheus, Meta's gigawatt-scale AI supercluster in New Albany, Ohio, whose first phase helped train the Muse family of models. Meta says the system already spans multiple connected buildings, with plans to reach roughly one million GPUs at full scale. We explore the fast networks that keep training coordinated, spare GPUs and saved checkpoints that help jobs recover, and liquid cooling that makes dense hardware practical. Power management and careful monitoring also play their part. It's a look at how many engineering improvements combine to keep an enormous system doing useful work and support the development of future AI models. Note: This podcast was AI-generated, and sometimes AI can make mistakes. Please double-check any critical information. Sponsored by Embersilk LLC