Bluefin GDX is the recommended ISO for this use case. It is a dedicated AI/ML workstation image built specifically for NVIDIA hardware with CUDA support.

Key features included:

• NVIDIA open drivers + full CUDA stack pre-installed
• uv (ultrafast Python package manager) pre-installed
• nvtop for GPU monitoring
• NVIDIA Container Toolkit for GPU-accelerated containers (PyTorch, TensorFlow, etc.)
• Docker, Podman, and VS Code with Dev Containers — ready to use
• RamaLama for local LLM inference with CUDA acceleration

Download: bluefin-gdx-lts-x86_64.iso

⚠️ WARNING: ALL LTS ISOs ARE CURRENTLY BROKEN
This includes the GDX LTS ISO recommended above. Due to Anaconda compatibility issues, the installer completes normally but account creation fails on first boot, leaving the system unusable. This is a confirmed issue (#51).
Alternative: Use the non-LTS GDX ISO instead: bluefin-gdx-x86_64.iso until the LTS breakage is resolved.

Important: GDX is a fresh-install image — do not rebase to it from an existing Bluefin or Fedora system. For hybrid GPU laptops (Intel iGPU + NVIDIA dGPU) like the Yoga Pro 9i, GDX handles the setup properly by pre-loading i915 in the initramfs for hardware acceleration on the integrated GPU.

Once installed, GPU-accelerated containers can be run directly, for example:

podman run --gpus all nvcr.io/nvidia/pytorch:26.01-py3