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In this, the kickoff episode of AI Platforms Vol. 2, we're joined by Adrien Gaidon, Machine Learning Lead at Toyota Research Institute.
Adrien and I caught up to discuss his team's work on deploying distributed deep learning in the cloud, at scale. In our conversation, we discuss the origins of TRI's ML Platform, and specifically their DDL tools, which is built on top of Pytorch, building up infrastructure starting with single nodes, applying DevOps to their research and more.
