How to Enable NVIDIA GPUDirect Storage on Kubernetes
Read OriginalThis article provides a comprehensive guide to enabling NVIDIA GPUDirect Storage (GDS) on Kubernetes. It explains that GDS enables direct data transfer between storage and GPU memory, bypassing CPU bounce buffers, but requires careful configuration across hardware, OS, kernel modules, filesystems, and Kubernetes operators. The tutorial covers prerequisites like supported GPUs, open GPU kernel module, and PCIe placement, then walks through installing NVIDIA Network Operator (if needed) and GPU Operator with GDS enabled. It emphasizes validating the setup using nvidia-fs, cuFile, and gdsio A/B tests to measure performance improvements. It also includes troubleshooting compatibility mode and provides a rollback path to conventional CPU-mediated I/O. Suitable for DevOps engineers and Kubernetes administrators seeking to optimize GPU data pipelines.
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