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A practical guide to building reusable AI VM templates on Linux with KVM/libvirt, cloud-init, and Ubuntu cloud images, enabling fast, reproducible, isolated environments preloaded with Python, PyTorch (CPU), JupyterLab, and data libraries. It covers prerequisites, baking a golden qcow2 image, a one-command cloning script, snapshots, networking/security best practices, and optional GPU passthrough for acceleration.