The Future of Clocks is in Small Silicon Machines

For the past 15 years, I've focused a lot on the final result of the semiconductor process: the end products. Initially my career started with testing motherboards, before looking into processors, architecture, manufacturing, and the business side of these companies. With the explosion of machine learning and the buzzwords of AI, the hardware these companies produce have grown, with the biggest scale now going into multiple chiplets and thousands of watts. The latest NVIDIA NVL72 is a full server rack with 72 GPUs, 9 switches, and consumers 120 kilowatts. No-one really knows where the limit is, or how efficient we can build these things.

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