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In this episode of Telco Bytes, we continue our exploration of the AI-Ready Datacenter, shifting focus from networking to the critical physical infrastructure: Power and Cooling.

As AI workloads demand unprecedented computational power, the traditional data center design is being challenged. We analyze a real-world case study involving Meta (Facebook), discussing why they had to halt and redesign a major facility to accommodate the power-hungry nature of modern GPUs like Nvidia's H100.

Key takeaways from this episode:

• The Sunk Cost Fallacy in Tech: Why tearing down a partially built facility was the right strategic move for Meta to achieve faster Time-to-Market.
• Power Dynamics: A walkthrough of the power journey from high-voltage transmission lines to the substation, and finally to the rack.
• The Critical Role of UPS: Beyond battery backup, we explain how UPS systems utilize double conversion (AC-DC-AC) to clean the power sine wave and protect sensitive AI hardware.
• Scale: Why the definition of a "large" data center has shifted from 50MW to hundreds of Megawatts in the AI era.

Join us as we bridge the gap between high-level strategy and low-level infrastructure engineering.

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