How to Containerize GPU Applications

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By providing self-contained execution environments without the overhead of a full virtual machine, containers have become an appealing proposition for deploying applications at scale. The credit goes to Docker for making containers easy-to-use and hence making them popular. From enabling multiple engineering teams to play around with their own configuration for development, to benchmarking or deploying a scalable microservices architecture, containers are finding uses everywhere.

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