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Active GPU diagnostic tool that identifies performance bottlenecks

Project description

NVSonar

PyPI version Python License

Active GPU diagnostic tool that identifies performance bottlenecks using micro-probes.

Why NVSonar?

Traditional GPU monitoring tools show utilization percentages. A GPU at 100% could be:

  • Actually computing (good)
  • Waiting for memory transfers (memory-bound)
  • Waiting for PCIe transfers (PCIe-bound)

NVSonar runs targeted CUDA micro-probes to measure actual hardware performance and identify bottlenecks.

License

Apache License 2.0 - see LICENSE for details.

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