A two-part deep dive tracing Meta's journey from early data centers to a unified global AI compute fabric. We explore TAO, data center fabrics, the shift to a data center-as-a-computer mindset, centralized versus decentralized control, the private WAN and edge POPs, and the online/offline processing split—plus how openness and open-source projects like PyTorch and the Open Compute Project shape Meta's speed and efficiency.

Note:  This podcast was AI-generated, and sometimes AI can make mistakes.  Please double-check any critical information.

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