Investing in Innovation
Deep learning's journey from theoretical to commercial viability highlights the need for robust infrastructure, including accelerators and laboratories, to support innovation. With significant capital investments required for both training and deploying models, the market is witnessing a shift where companies are increasingly utilizing GPUs for inference, demonstrating a growing appetite for practical applications of AI technology.In this clip
From this podcast
The Hard Part with Evan McCann
Gennady Pekhimenko from CentML
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