Nsight Streamer Resources

A self-hosted NVIDIA Nsight Tools GUI, running within a Docker container, enables remote access through a web browser. This configuration is highly beneficial for analyzing data on remote servers or clusters.

Currently, NVIDIA Nsight Systems, NVIDIA Nsight Compute, NVIDIA Nsight Graphics, and NVIDIA Nsight Deep Learning Designer are supported for running inside a container.

These resources provide convenient scripts for managing the lifecycle of the Nsight Streamer container.

Supported Nsight Tools

This solution currently supports the following NVIDIA Nsight tools:

Nsight Systems: System-wide performance analysis tool designed to visualize an application’s algorithms, identify the largest opportunities to optimize, and tune to scale efficiently across any quantity or size of CPUs and GPUs, from large servers to our smallest systems-on-a-chip (SoCs).
Nsight Compute: Interactive profiler for CUDA® and NVIDIA OptiX™ that provides detailed performance metrics and API debugging via a user interface and command-line tool.
Nsight Graphics: Developer tool with ray-tracing support that enables you to debug, profile, and export frames built with Direct3D, Vulkan, OpenGL, OpenVR, and the Oculus SDK.
Nsight Deep Learning Designer: Integrated development environment that helps developers efficiently design and optimize deep neural networks for high-performance inference.

Documentation

For detailed information on Nsight Streamer, usage instructions for these scripts, and the capabilities of each supported Nsight tool, refer to the following documentation pages:

License Agreements

By pulling and using the resource, you accept the terms and conditions of this End User License Agreement.

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This configuration is highly beneficial for analyzing data on remote servers or clusters.\n\nCurrently, NVIDIA Nsight Systems, NVIDIA Nsight Compute, NVIDIA Nsight Graphics, and NVIDIA Nsight Deep Learning Designer are supported for running inside a container.\n\nThese resources provide convenient scripts for managing the lifecycle of the Nsight Streamer container.\n\n## Supported Nsight Tools\n\nThis solution currently supports the following NVIDIA Nsight tools:\n\n* **Nsight Systems:** System-wide performance analysis tool designed to visualize an application’s algorithms, identify the largest opportunities to optimize, and tune to scale efficiently across any quantity or size of CPUs and GPUs, from large servers to our smallest systems-on-a-chip (SoCs).\n* **Nsight Compute:** Interactive profiler for CUDA® and NVIDIA OptiX™ that provides detailed performance metrics and API debugging via a user interface and command-line tool.\n* **Nsight Graphics:** Developer tool with ray-tracing support that enables you to debug, profile, and export frames built with Direct3D, Vulkan, OpenGL, OpenVR, and the Oculus SDK.\n* **Nsight Deep Learning Designer:** Integrated development environment that helps developers efficiently design and optimize deep neural networks for high-performance inference.\n\n## Documentation\n\nFor detailed information on Nsight Streamer, usage instructions for these scripts, and the capabilities of each supported Nsight tool, refer to the following documentation pages:\n\n* [Nsight Streamer for Nsight Systems](https://catalog.ngc.nvidia.com/orgs/nvidia/teams/devtools/containers/nsight-streamer-nsys)\n* [Nsight Streamer for Nsight Compute](https://catalog.ngc.nvidia.com/orgs/nvidia/teams/devtools/containers/nsight-streamer-ncu)\n* [Nsight Streamer for Nsight Graphics](https://catalog.ngc.nvidia.com/orgs/nvidia/teams/devtools/containers/nsight-streamer-ngfx)\n* [Nsight Streamer for Nsight Deep Learning Designer](https://catalog.ngc.nvidia.com/orgs/nvidia/teams/devtools/containers/nsight-streamer-ndld)\n\n## License Agreements\n\nBy pulling and using the resource, you accept the terms and conditions of this [End User License Agreement](https://docs.nvidia.com/nsight-systems/CopyrightAndLicenses/index.html).","NVIDIA Nsight Streamer Resources",["D",1780596696352],"/api/image/nvidia/devtools/resources/nsight-streamer-resources","https://nvdam.widen.net/content/pwk8kpq5rz/web/NVIDIA-Logo-V-ForScreen-ForLightBG.png?color=ffffffff","bias","explainability","privacy","safetyAndSecurity",[],[288],[],[],[],{"_90":122,"_123":122,"_124":289,"_126":127},{"_128":127,"_123":122},{"_157":1460,"_159":1461},"ngcApps",[1413],"csaApiBaseUrl","https://www.nvidia.com/ai-agents/csa-agent/dcsm","datadogRum",{"_1394":1395,"_1396":1397,"_1398":1399,"_1400":1401,"_1402":301,"_189":325,"_1403":1404,"_1405":51,"_1406":136,"_1407":136,"_1408":1409,"_1410":136,"_1411":1412},"amplitude",{"_1391":1392,"_998":-7,"_1393":26},"disableJs","environment","prod","featureFlagsBlob","JTdCJTIydGVzdEZsYWclMjIlM0FmYWxzZSUyQyUyMnNob3dTZWFyY2hMYWJlbFNldEZpbHRlcnMlMjIlM0FmYWxzZSUyQyUyMmNoaW5hTmltRGlzdHJpYnV0b3JzUmVkZXNpZ24lMjIlM0F0cnVlJTJDJTIyZW5hYmxlQ3NhV2lkZ2V0JTIyJTNBZmFsc2UlMkMlMjJlbmFibGVQcm9kdWN0R3JvdXBpbmdCeVN1YnNjcmlwdGlvbiUyMiUzQWZhbHNlJTJDJTIyY29udGFpbmVyU2Nhbm5pbmdSZWRlc2lnbk0xJTIyJTNBZmFsc2UlN0Q=","featureFlagsGuarded","isDevLikeEnv","isPlaywright","isMobileDevice","categorizedOrgs",{"_1385":1386,"_1387":1388,"_1389":1390},"currentOrgContext","currentContextRoles",[],"enterpriseOrgs",[],"locale","en","ngcApiOrigin","ngcHelmOrigin","origin","https://catalog.ngc.nvidia.com","usesMocks","theme","year",2026,"1.7.2","defaultSearchSuggestions",{"_1273":227,"_1274":1275,"_1276":1277,"_1278":1279},"announcements",[],"consentState",{"_363":1263,"_1264":136,"_1265":26,"_1266":26,"_1267":1268},"consentConfig",{"_345":346,"_347":348,"_349":350,"_351":352,"_353":354,"_355":356,"_357":358,"_359":360,"_361":362,"_363":364},"showContactAdmin",1783545307590,[],[],[339,340,341,342,343,344],{"_40":54,"_42":65,"_44":152,"_46":-5,"_48":-5,"_50":51},{"_40":54,"_42":63,"_44":152,"_46":-5,"_48":-5,"_50":51},{"_40":54,"_42":61,"_44":152,"_46":-5,"_48":-5,"_50":51},{"_40":54,"_42":59,"_44":152,"_46":-5,"_48":-5,"_50":51},{"_40":52,"_42":53,"_44":152,"_46":-5,"_48":-5,"_50":51},{"_40":41,"_42":43,"_44":152,"_46":-5,"_48":-5,"_50":51},"mainInfoText","We and our third-party partners (including social media, advertising, and analytics partners) use cookies and other tracking technologies to collect, store, monitor, and process certain information about you when you visit our website. 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