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Practical guide to debugging AI workloads in Docker: pin dependencies, fix CUDA/CuDNN and driver mismatches, enable GPU access with nvidia-container-toolkit, and resolve build and import errors. Covers image slimming, caching, model/volume management, health checks, logging, and profiling. Includes checklists and reproducible workflows to keep containers reliable, portable, and fast.