Nsight JupyterLab Extension
Type: JupyterLab extension / profiling workflow Tags: NVIDIA, Nsight, JupyterLab, notebooks, profiling, Nsight Systems, Nsight Compute, CUDA, Python, magic commands, PyPI Related: Nsight-Developer-Tools, Nsight-Systems, Nsight-Compute, Nsight-Python, CUDA-Python, CUPTI, NVIDIA-CUDA, NVIDIA-Developer-Program Sources: https://developer.nvidia.com/tools-overview/nsight-jupyterlab, https://docs.nvidia.com/nsight-systems/UserGuide/#profiling-within-jupyterlab, https://developer.nvidia.com/tools-overview/nsight-compute/get-started, https://pypi.org/project/jupyterlab-nvidia-nsight/ Last Updated: 2026-04-29
Summary
NVIDIA Nsight JupyterLab Extension provides access to Nsight profiling workflows directly from Jupyter notebooks. It lets users profile notebook cells with Nsight-Systems or Nsight-Compute, view profiler text output in the notebook, and open profiler UI views without leaving JupyterLab.
Detail
The extension is for notebook-centric CUDA, Python, and accelerated-computing workflows where leaving JupyterLab to run command-line profiling is disruptive. NVIDIA’s current developer page says toolbar menus and buttons can launch Nsight Systems or Nsight Compute profilers on selected cells, display output in the cell output area, and provide magic command profiling that can be used from any Jupyter client.
For Nsight-Systems, the current user guide documents JupyterLab profiling of notebook cells where CUDA kernels plus CUDA and Python execution can be profiled and analyzed. Basic setup installs the package with pip install jupyterlab-nvidia-nsight, restarts JupyterLab, configures the Nsight Systems location if needed, enables profiling with Nsight Systems, and then uses the notebook toolbar to profile cell execution. Nsight Systems itself is not bundled with the extension and must be installed separately.
For Nsight-Compute, NVIDIA’s current get-started page lists the Nsight Tools JupyterLab Extension as the path that integrates Nsight Compute’s CUDA kernel profiling functionality into JupyterLab.
Use this page for “profile Jupyter notebook cells with NVIDIA tools” questions. Use Nsight-Python for Python-first profiling automation APIs and CUDA-Python for CUDA programming from Python.
Connections
- Nsight-Developer-Tools - suite-level hub where the JupyterLab extension is listed as a current Nsight tool.
- Nsight-Systems - profiles notebook cell execution, CUDA kernels, CUDA activity, and Python execution.
- Nsight-Compute - provides CUDA kernel profiling integrated into the JupyterLab workflow.
- Nsight-Python and CUDA-Python - adjacent Python-centric CUDA profiling and programming workflows.
- CUPTI - lower-level tracing/profiling API layer beneath NVIDIA profiling tools.