How to Install PyTorch with AMD ROCm GPU Acceleration on Ubuntu 24.04

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PyTorch, an open-source deep learning framework, can be configured to run on AMD GPUs using ROCm, AMD's platform for GPU computing. This technical guide covers two installation methods on Ubuntu 24.04: running a pre-built ROCm-enabled PyTorch Docker container and installing PyTorch natively on the host via Pip. The container approach uses Docker with specific device flags to grant access to AMD GPU hardware, while the native install relies on options selected through the official PyTorch Start Locally page. GPU availability can be verified after either method by running a simple Python command that checks whether CUDA-compatible devices are detected. The guide also notes common issues such as download timeouts during Pip installation and suggests workarounds including the --timeout and --no-cache-dir flags.

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ProgrammingDEV Community ·

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ProgrammingDEV Community ·

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ProgrammingDEV Community ·

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