How to setup CUDA environment for Docker on Ubuntu?
Setting up a CUDA environment for Docker on Ubuntu involves a structured process to enable GPU acceleration within containers. The journey begins by verifying that the system recognizes the NVIDIA GPU, a critical first step to avoid configuration pitfalls. Installing the correct drivers—whether for desktop or server environments—requires careful selection from available versions, with options for automatic or manual installation ensuring flexibility. Once drivers are in place, Docker must be configured to leverage NVIDIA's container toolkit, a bridge between the host hardware and containerized applications. This integration demands precise repository setup and package installation to ensure compatibility. Testing the setup through commands like `nvidia-smi` within a Docker container confirms successful integration, while stress-testing tools like `gpu-burn` validate the GPU's performance under load. Advanced users can extend this configuration using Docker-Compose to define GPU resourc...--Qwen3