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Last Updated: September 27, 2026
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Deep learning is so popular, and Igor Saprykin offers a way to train models on one machine and multiple GPUs and introduces an API that is foundational This talk demonstrates how to perform To efficiently train machine learning models, you will often need to scale your training to multiple GPUs, or even multiple machines ... Fabrizio Milo is a CUDA developer and early Google Cloud Developer Advocate Nikita Namjoshi introduces how In this completely demo-based talk, Chris will demonstrate various techniques to post-process and optimize trained
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