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Nvidia details how to read data into GPU memory in Python with GPUDirect Storage
Nvidia explains how the KvikIO library uses GPUDirect Storage and cuFile to accelerate file I/O for Python applications.
Summary
Nvidia published a guide on using the KvikIO library in Python to load data directly into GPU memory. The tutorial explains how KvikIO and cuFile choose between the accelerated nvidia-fs kernel module and a CPU-staged fallback path.
What changed
- Nvidia detailed KvikIO Python and C++ interfaces built above the cuFile C API for GPU memory file I/O.
- The guide outlined independent path selection between the nvidia-fs module and compatibility paths.
- Developers learned to inspect per-process I/O statistics using CUFILE_STATS_LEVEL=3 and gds_stats.
Availability
Available now“NVIDIA KvikIO provides high-level Python and C++ interfaces that sit above the cuFile C API to enable accelerated file I/O into GPU memory.”
Founder takeaway
Test the KvikIO Python code on a system with GPUDirect Storage and use gds_stats to verify if transfers use the accelerated path.
Source
Researched and drafted with AI from the official sources above, then checked automatically before publishing. Spotted a mistake? Tell us.
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