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Practical, bash-first guide to building reliable AI dev/inference on AlmaLinux (RHEL-compatible) and across distros: prep OS with EPEL/CRB, choose acceleration (NVIDIA CUDA, AMD ROCm, or CPU), install Python stack (PyTorch, TensorFlow, ONNX Runtime, OpenVINO), run quick GPU and speech-to-text tests, and serve models via Podman/Docker/Ollama with SELinux/firewalld, plus tips on kernels, venvs, containers, and monitoring.