4. Nsight Compute CLI — NsightCompute 12.4 documentation
NVIDIA Nsight Compute CLI (ncu) provides a non-interactive way to profile applications from the command line. It can print the results directly on the command line or store them in a report file. It can also be used to simply launch the target application (see General for details) and later attach with NVIDIA Nsight Compute or another ncu instance. For users migrating from nvprof to NVIDIA Nsight Compute, please additionally see the Nvprof Transition Guide for comparison of features and workflows. Launch the target application with the command line profiler The command line profiler launches the target application, instruments the target API, and collects profile results for the specified kernels. The CLI executable is called ncu. A shortcut with this name is located in the base directory of the NVIDIA Nsight Compute installation. The actual executable is located in the folder target\windows-desktop-win7-x64 on Windows or target/linux-desktop-glibc_2_11_3-x64 on Linux. By default, NVID
4. Nsight Compute CLI - NsightCompute 13.3 documentation >> 4. Nsight Compute CLI v2026.2.0 | Archive 4. Nsight Compute CLI The User Guide for Nsight Compute CLI. 4.1. Introduction NVIDIA Nsight Compute CLI (ncu) provides a non-interactive way to profile applications from the command line. It can print the results directly on the command line or store them in a report file. It can also be used to simply launch the target application (see General for details) and later attach with NVIDIA Nsight Compute or another ncu instance. 4.2. Quickstart Launch the target application with the command
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related reading
- Command Line Interface Guidelinesclig.dev
- CUDA Programming Guide — CUDA Programming Guidedocs.nvidia.com
- How to Optimize a CUDA Matmul Kernel for cuBLAS-like Performance: a Worklogsiboehm.com
- CUDA C++ Programming Guide (Legacy) — CUDA C++ Programming Guidedocs.nvidia.com
- What happens when you run a CUDA kernelfergusfinn.com
- GPU Performance Background User's Guide - NVIDIA Docsdocs.nvidia.com
- Inside NVIDIA GPUs: Anatomy of high performance matmul kernels - Aleksa Gordićaleksagordic.com
- ⏱️ Performance Profiling - Composerdocs.mosaicml.com
- GitHub - NVIDIA/cuda-checkpoint: CUDA checkpoint and restore utility · GitHubgithub.com
- PyTorch Profiling 101 with Modded-NanoGPTblog.underfit.ai
- SCALE by Spectral Compute - SCALE Documentationdocs.scale-lang.com
- GitHub - ccusage/ccusage: npx ccusagegithub.com