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Guide Shows How to Build a PyTorch Container Image for CPU or GPU and Publish It

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A new tutorial explains how to build a custom PyTorch container image from the official source repository. It covers cloning the code, then using either the CPU Dockerfile or the GPU-oriented docker.makefile build context. The guide also includes steps to verify the image and push it to a container registry for use in Docker-compatible environments. Prerequisites include a Docker-enabled server, with the NVIDIA Container Toolkit required for GPU builds.

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