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Continuous Nvidia CUDA PC Sampling Profiler

Continuous Nvidia CUDA PC Sampling Profiler

by gnurizen·Jun 15, 2026·6 points·2 comments

AI Analysis

●●SolidBig Brain

Production-ready CUDA profiling when NSight only works in development.

Strengths
  • Hardware-level PC sampling at 2k samples/sec with minimal overhead.
  • Integrates with existing Parca backend and MCP support for LLM analysis.
  • Configurable sampling factor (2^5 to 2^31) balances detail vs. performance.
Weaknesses
  • Requires CUDA_INJECTION64_PATH shim, adding deployment complexity.
  • Maxwell architecture or newer only, excludes older GPU hardware.
Target Audience

ML engineers and GPU application developers running CUDA workloads

Similar To

NVIDIA NSight · Triton Proton · Datadog Continuous Profiler

Post Description

Blog post about how we extended our open source profiler to include support for continuous production PC sampling.

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