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ROCm turns supported AMD GPUs into fast, cost‑effective AI workhorses on Linux, with an open stack, CUDA‑like HIP, and optimized libs (rocBLAS, hipBLASLt, MIOpen, RCCL) plus official PyTorch wheels. The guide covers prereqs, apt/dnf/zypper installs, env/permissions, validation (rocminfo, rocm‑smi, HIP samples), running PyTorch and llama.cpp or containers, and tips for support, tuning, and multi‑GPU.