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This holistic approach involves designing everything from the transistors on the semiconductor to the networking and software layers enabling AI inference. By controlling every aspect of the hardware stack, OpenAI aims to optimize performance, efficiency, and cost. The grand vision is to create a scalable, highly efficient infrastructure capable of supporting the world's AI needs at an extraordinary scale.
Why 10 Gigawatts? Understanding the Scale
The mention of 10 GW of AI computing capacity can seem mind-boggling. To put it into perspective, this amount of power represents a massive increase over current data center capacities for AI training and inference. It involves deploying racks of custom hardware, finely tuned to maximize throughput and minimize energy consumption.