Nsight Streamer

NVIDIA Nsight Streamer enables remote access to NVIDIA Nsight Tools through a web browser, providing a self-hosted graphical interface running inside a containerized environment. This setup is ideal for analyzing data on remote servers or Kubernetes clusters.

The Nsight Streamer currently supports containerized deployment of NVIDIA Nsight Systems (nsys), NVIDIA Nsight Compute (ncu), NVIDIA Nsight Graphics (ngfx), and NVIDIA Nsight Deep Learning Designer (ndld).

Benefits

Handling Large Data: The reports generated by NVIDIA Nsight Tools on servers/clusters can be extremely large, making it impractical to transfer them to a local machine. By hosting the GUI on the remote server, you can analyze the data in place without the need for excessive data transfers.
Enhanced Performance: Remote servers or clusters often have significantly more computational power and memory compared to local machines. Analyzing the reports directly on the remote server leverages these resources, ensuring faster and more efficient data processing and analysis.
Security Compliance: Many organizations have strict security protocols that prevent copying sensitive data from servers or clusters to local environments. This self-hosted solution ensures that the data remains within the secure confines of the server while still providing the necessary tools for thorough analysis.
Kubernetes Native Deployment: Easily deploy and manage Nsight Streamer instances within your Kubernetes infrastructure.
Scalability: Deploy multiple instances for different teams or purposes.

Warning

Nsight Streamer for Nsight Graphics supports remote profiling, so it is essential to ensure that the server is secure and that the necessary security measures are in place to prevent unauthorized access to your data.

Getting Started

Prerequisites

A Kubernetes cluster
Helm installed on the administrator machine

Installation

Quick Start

Install the Nsight Streamer with volumes for your profiling reports:

helm install --wait --set tool=nsys \\\n  --set volumes[0].name=reports-volume \\\n  --set volumes[0].persistentVolumeClaim.claimName=your-reports-pvc \\\n  --set volumeMounts[0].name=reports-volume \\\n  --set volumeMounts[0].mountPath=/mnt/host/volumes/reports \\\n  nsight-streamer https://helm.ngc.nvidia.com/nvidia/devtools/charts/nsight-streamer-2026.3.1.tgz\n

For more complex configurations, you can use a values file:

# values.yaml\ntool: nsys\nvolumeMounts:\n  - name: local-storage\n    mountPath: /data\nvolumes:\n  - name: local-storage\n    hostPath:\n      path: /mnt/data\n      type: Directory\n

Then install with:

helm install --wait -f values.yaml nsight-streamer \\\n    https://helm.ngc.nvidia.com/nvidia/devtools/charts/nsight-streamer-2026.3.1.tgz\n

Advanced Installation Options

Custom Namespace: Install in a non-default namespace:

helm install --wait -f values.yaml nsight-streamer \\\n    https://helm.ngc.nvidia.com/nvidia/devtools/charts/nsight-streamer-2026.3.1.tgz --namespace example-ns\n

Multiple Instances: Install multiple copies:

helm install --wait --generate-name -f values.yaml \\\n    https://helm.ngc.nvidia.com/nvidia/devtools/charts/nsight-streamer-2026.3.1.tgz\n

Enabling Hardware Acceleration

To enable GPU hardware acceleration for video encoding in Kubernetes, which significantly improves the performance and responsiveness of the Nsight Streamer, you need to:

Have an NVIDIA GPU with AV1 encoding support on the node where the Nsight Streamer is deployed (Ada Lovelace architecture or newer GPUs). For a complete list of supported GPUs, see the NVIDIA Video Encode and Decode GPU Support Matrix
Have NVIDIA GPU Operator installed on the Kubernetes cluster. See the NVIDIA GPU Operator Installation Guide for more information.
Configure your Helm values to include resources.limits.nvidia.com/gpu:

# hw_values.yaml\ntool: nsys\nresources:\n  limits:\n    nvidia.com/gpu: 1  # Request at least one GPU\nvolumes:\n  - name: reports-volume\n    persistentVolumeClaim:\n      claimName: your-reports-pvc\nvolumeMounts:\n  - name: reports-volume\n    mountPath: /mnt/host/volumes/reports\n

Then install with:

helm install --wait -f hw_values.yaml nsight-streamer \\\n    https://helm.ngc.nvidia.com/nvidia/devtools/charts/nsight-streamer-2026.3.1.tgz\n

Runtime environment variables

Can be used to configure runtime parameters.

\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n

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Variable	Description	Default value
TURN_PORT	TCP port that will be used for WebRTC data transmission. The port should match the port published from the container on the host.	3478
ENABLE_RESIZE	Should resizing be enabled to fit the remote resolution to the client window?	true
MAX_RESOLUTION	Maximum resolution of the remote screen used for streaming the Nsight Tool.	1920x1080
WEB_USERNAME	The username for accessing the NVIDIA Nsight Streamer from a browser. If set to an empty string, no authentication is required.	nvidia
WEB_PASSWORD	The password for accessing the NVIDIA Nsight Streamer from a browser.	nvidia

Configuration

The Nsight Streamer Helm chart can be customized through various configuration parameters.

Configuration Values

\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n

tr:nth-child(odd)]:bg-surface-sunken\">

Parameter	Description	Default Value
tool	The Nsight tool to run in the container. Valid values: nsys (Nsight Systems), ncu (Nsight Compute), ngfx (Nsight Graphics), ndld (Nsight Deep Learning Designer).	Required
service.type	The type of Kubernetes service to create (ClusterIP, NodePort).	NodePort
service.httpPort	The port on which the HTTP service will be exposed within the cluster.	30080
service.turnPort	The port on which the TURN service will be exposed within the cluster.	30478
service.nodeHttpPort	The NodePort value for exposing HTTP traffic outside the cluster. Applicable when service.type is NodePort.	30080
service.nodeTurnPort	The NodePort value for exposing TURN traffic outside the cluster. Applicable when service.type is NodePort. Should be equal to service.turnPort.	30478
nodeSelector	Node selector for Nsight Streamer pod scheduling.	{}
tolerations	Tolerations for Nsight Streamer pod scheduling.	[]
affinity	Affinity rules for Nsight Streamer pod scheduling.	{}
volumeMounts	List of volumes to mount into the container.	[]
volumes	List of volumes to be used by the container.	[]
env	List of environment variables to be injected into the Docker container.	[]
enableResize	Should resizing be enabled to fit the remote resolution to the client window?	true
maxResolution	Maximum resolution of the remote screen used for streaming the Nsight Tool.	1920x1080
preserveConfig	Preserve the Nsight Tool configuration file in the container between runs.	true
webUsername	The username for accessing the NVIDIA Nsight Streamer from a browser. Can be provided as a direct string value or as a secret reference. If using a secret, set webUsername as a map with secretName and secretKey. If set to an empty string, no authentication is required.	nvidia
webPassword	The password for accessing the NVIDIA Nsight Streamer from a browser. Can be provided as a direct string value or as a secret reference. If using a secret, set webPassword as a map with secretName and secretKey.	nvidia

Example values.yaml

# Basic configuration\ntool: nsys\nenableResize: true\nmaxResolution: \"1920x1080\"\n\n# Authentication\nwebUsername: \"admin\"\nwebPassword: \"secure-password\"\n\n# Service configuration\nservice:\n  type: NodePort\n  httpPort: 30080\n  turnPort: 30478\n  nodeHttpPort: 30080\n  nodeTurnPort: 30478\n\n# Persistent volumes with reports\nvolumes:\n  - name: reports-volume\n    persistentVolumeClaim:\n      claimName: reports-pvc\n\nvolumeMounts:\n  - name: reports-volume\n    mountPath: /mnt/host/volumes/reports\n

Accessing the Service

After installing the Nsight Streamer, you can access it based on your service type configuration:

ClusterIP Service Type

When using ClusterIP (set via service.type=ClusterIP), the service is only accessible from within the cluster. You can access it using port forwarding:

kubectl port-forward service/nsight-streamer-service 30080:30080 30478:30478\n

Then access the service at http://localhost:30080

Make sure that the target turn port forwarded is the same as the service.turnPort (default is 30478).

NodePort Service Type

When using NodePort (default, or set via service.type=NodePort), the service is exposed on each node's IP at a static port. The default port is 30080, but this can be configured during installation using the service.nodeHttpPort parameter.

After installation, the connection information will be automatically displayed by the print-connection-info job. You can retrieve this information by checking the job logs:

kubectl logs job/nsight-streamer-print-connection-info\n

Access the service by navigating to:

:\n\">

http://<node-ip>:<node-port>\n

Note: Ensure your network security settings allow access to the configured NodePort.

Troubleshooting

Checking Logs

kubectl logs deployment/nsight-streamer\n

Common Issues

Pod Pending: Check if nodes have enough resources or if GPU requirements can be satisfied
Service Unreachable: Verify network policies and firewall rules
Authentication Failures: Check the webUsername and webPassword values

Automatic Report File Detection

The Nsight Streamer scans all mounted volumes at startup and selects the first one containing supported report files. The \"Open...\" dialog will be opened with the detected directory.

Troubleshooting

Clipboard is not working in Chrome

Enable chrome://flags/#unsafely-treat-insecure-origin-as-secure and add the Nsight Streamer URL to the list.

`Connection failed` on Firefox

If you encounter a \"Connection failed.\" error on Firefox, you can resolve it by changing a configuration setting:

Open Firefox and navigate to about:config.
Search for media.peerconnection.ice.loopback.
Set the value to true.

`Connection failed` on Safari

If you are experiencing connection issues in Safari when using AV1 codec:

Open Safari and go to Safari menu > Settings > Advanced.
Check the box next to \"Show features for web developers\".
Go to \"Feature Flags\" and search for \"WebRTC AV1 codec\".
Enable the \"WebRTC AV1 codec\" option.
Restart Safari and try connecting again.

The GUI is too small on an HDPI screen

Restart the remote Nsight Tool:

Go to File in the menu bar of Nsight Tool.
Select Exit.
Nsight Tool will be opened with the scaled GUI.

License Agreements

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

Suggested Reading

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This setup is ideal for analyzing data on remote servers or Kubernetes clusters.\n\nThe Nsight Streamer currently supports containerized deployment of NVIDIA Nsight Systems (nsys), NVIDIA Nsight Compute (ncu), NVIDIA Nsight Graphics (ngfx), and NVIDIA Nsight Deep Learning Designer (ndld).\n\n## Benefits\n\n- **Handling Large Data**: The reports generated by NVIDIA Nsight Tools on servers/clusters can be extremely large, making it impractical to transfer them to a local machine. By hosting the GUI on the remote server, you can analyze the data in place without the need for excessive data transfers.\n- **Enhanced Performance**: Remote servers or clusters often have significantly more computational power and memory compared to local machines. Analyzing the reports directly on the remote server leverages these resources, ensuring faster and more efficient data processing and analysis.\n- **Security Compliance**: Many organizations have strict security protocols that prevent copying sensitive data from servers or clusters to local environments. This self-hosted solution ensures that the data remains within the secure confines of the server while still providing the necessary tools for thorough analysis.\n- **Kubernetes Native Deployment**: Easily deploy and manage Nsight Streamer instances within your Kubernetes infrastructure.\n- **Scalability**: Deploy multiple instances for different teams or purposes.\n\n## Warning\n\nNsight Streamer for Nsight Graphics supports remote profiling, so it is essential to ensure that the server is secure and that the necessary security measures are in place to prevent unauthorized access to your data.\n\n## Getting Started\n\n### Prerequisites\n\n- A [Kubernetes cluster](https://kubernetes.io/docs/setup/)\n- [Helm](https://helm.sh/docs/intro/install/) installed on the administrator machine\n\n\n## Installation\n\n### Quick Start\n\nInstall the Nsight Streamer with volumes for your profiling reports:\n\n```bash\nhelm install --wait --set tool=nsys \\\n --set volumes[0].name=reports-volume \\\n --set volumes[0].persistentVolumeClaim.claimName=your-reports-pvc \\\n --set volumeMounts[0].name=reports-volume \\\n --set volumeMounts[0].mountPath=/mnt/host/volumes/reports \\\n nsight-streamer https://helm.ngc.nvidia.com/nvidia/devtools/charts/nsight-streamer-2026.3.1.tgz\n```\n\nFor more complex configurations, you can use a values file:\n\n```yaml\n# values.yaml\ntool: nsys\nvolumeMounts:\n - name: local-storage\n mountPath: /data\nvolumes:\n - name: local-storage\n hostPath:\n path: /mnt/data\n type: Directory\n```\n\nThen install with:\n\n```bash\nhelm install --wait -f values.yaml nsight-streamer \\\n https://helm.ngc.nvidia.com/nvidia/devtools/charts/nsight-streamer-2026.3.1.tgz\n```\n\n### Advanced Installation Options\n\n- **Custom Namespace**: Install in a non-default namespace:\n\n ```bash\n helm install --wait -f values.yaml nsight-streamer \\\n https://helm.ngc.nvidia.com/nvidia/devtools/charts/nsight-streamer-2026.3.1.tgz --namespace example-ns\n ```\n\n- **Multiple Instances**: Install multiple copies:\n\n ```bash\n helm install --wait --generate-name -f values.yaml \\\n https://helm.ngc.nvidia.com/nvidia/devtools/charts/nsight-streamer-2026.3.1.tgz\n ```\n\n### Enabling Hardware Acceleration\n\nTo enable GPU hardware acceleration for video encoding in Kubernetes, which significantly improves the performance and responsiveness of the Nsight Streamer, you need to:\n\n1. Have an NVIDIA GPU with AV1 encoding support on the node where the Nsight Streamer is deployed (Ada Lovelace architecture or newer GPUs). For a complete list of supported GPUs, see the [NVIDIA Video Encode and Decode GPU Support Matrix](https://developer.nvidia.com/video-encode-and-decode-gpu-support-matrix-new)\n2. Have NVIDIA GPU Operator installed on the Kubernetes cluster. See the [NVIDIA GPU Operator Installation Guide](https://docs.nvidia.com/datacenter/cloud-native/gpu-operator/latest/getting-started.html#operator-install-guide) for more information.\n3. Configure your Helm values to include `resources.limits.nvidia.com/gpu`:\n\n```yaml\n# hw_values.yaml\ntool: nsys\nresources:\n limits:\n nvidia.com/gpu: 1 # Request at least one GPU\nvolumes:\n - name: reports-volume\n persistentVolumeClaim:\n claimName: your-reports-pvc\nvolumeMounts:\n - name: reports-volume\n mountPath: /mnt/host/volumes/reports\n```\n\nThen install with:\n\n```bash\nhelm install --wait -f hw_values.yaml nsight-streamer \\\n https://helm.ngc.nvidia.com/nvidia/devtools/charts/nsight-streamer-2026.3.1.tgz\n```\n\n\n### Runtime environment variables\n\nCan be used to configure runtime parameters.\n\n| Variable | Description | Default value |\n| :------------- | :-------------------------------------------------------------------------------------------------------------------------------- | :------------ |\n| TURN_PORT | TCP port that will be used for WebRTC data transmission. The port should match the port published from the container on the host. | 3478 |\n| ENABLE_RESIZE | Should resizing be enabled to fit the remote resolution to the client window? | true |\n| MAX_RESOLUTION | Maximum resolution of the remote screen used for streaming the Nsight Tool. | 1920x1080 |\n| WEB_USERNAME | The username for accessing the NVIDIA Nsight Streamer from a browser. If set to an empty string, no authentication is required. | nvidia |\n| WEB_PASSWORD | The password for accessing the NVIDIA Nsight Streamer from a browser. | nvidia |\n\n\n## Configuration\n\nThe Nsight Streamer Helm chart can be customized through various configuration parameters.\n\n### Configuration Values\n\n| Parameter | Description | Default Value |\n| -------------------- | ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------------- |\n| tool | The Nsight tool to run in the container. Valid values: nsys (Nsight Systems), ncu (Nsight Compute), ngfx (Nsight Graphics), ndld (Nsight Deep Learning Designer). | Required |\n| service.type | The type of Kubernetes service to create (ClusterIP, NodePort). | NodePort |\n| service.httpPort | The port on which the HTTP service will be exposed within the cluster. | 30080 |\n| service.turnPort | The port on which the TURN service will be exposed within the cluster. | 30478 |\n| service.nodeHttpPort | The NodePort value for exposing HTTP traffic outside the cluster. Applicable when service.type is NodePort. | 30080 |\n| service.nodeTurnPort | The NodePort value for exposing TURN traffic outside the cluster. Applicable when service.type is NodePort. Should be equal to service.turnPort. | 30478 |\n| nodeSelector | Node selector for Nsight Streamer pod scheduling. | {} |\n| tolerations | Tolerations for Nsight Streamer pod scheduling. | [] |\n| affinity | Affinity rules for Nsight Streamer pod scheduling. | {} |\n| volumeMounts | List of volumes to mount into the container. | [] |\n| volumes | List of volumes to be used by the container. | [] |\n| env | List of environment variables to be injected into the Docker container. | [] |\n| enableResize | Should resizing be enabled to fit the remote resolution to the client window? | true |\n| maxResolution | Maximum resolution of the remote screen used for streaming the Nsight Tool. | 1920x1080 |\n| preserveConfig | Preserve the Nsight Tool configuration file in the container between runs. | true |\n| webUsername | The username for accessing the NVIDIA Nsight Streamer from a browser. Can be provided as a direct string value or as a secret reference. If using a secret, set webUsername as a map with secretName and secretKey. If set to an empty string, no authentication is required. | nvidia |\n| webPassword | The password for accessing the NVIDIA Nsight Streamer from a browser. Can be provided as a direct string value or as a secret reference. If using a secret, set webPassword as a map with secretName and secretKey. | nvidia |\n\n### Example values.yaml\n\n```yaml\n# Basic configuration\ntool: nsys\nenableResize: true\nmaxResolution: \"1920x1080\"\n\n# Authentication\nwebUsername: \"admin\"\nwebPassword: \"secure-password\"\n\n# Service configuration\nservice:\n type: NodePort\n httpPort: 30080\n turnPort: 30478\n nodeHttpPort: 30080\n nodeTurnPort: 30478\n\n# Persistent volumes with reports\nvolumes:\n - name: reports-volume\n persistentVolumeClaim:\n claimName: reports-pvc\n\nvolumeMounts:\n - name: reports-volume\n mountPath: /mnt/host/volumes/reports\n```\n\n\n\n## Accessing the Service\n\nAfter installing the Nsight Streamer, you can access it based on your service type configuration:\n\n### ClusterIP Service Type\n\nWhen using `ClusterIP` (set via `service.type=ClusterIP`), the service is only accessible from within the cluster. You can access it using port forwarding:\n\n```bash\nkubectl port-forward service/nsight-streamer-service 30080:30080 30478:30478\n```\n\nThen access the service at `http://localhost:30080`\n\nMake sure that the target turn port forwarded is the same as the service.turnPort (default is 30478).\n\n### NodePort Service Type\n\nWhen using `NodePort` (default, or set via `service.type=NodePort`), the service is exposed on each node's IP at a static port. The default port is 30080, but this can be configured during installation using the `service.nodeHttpPort` parameter.\n\nAfter installation, the connection information will be automatically displayed by the print-connection-info job. You can retrieve this information by checking the job logs:\n\n```bash\nkubectl logs job/nsight-streamer-print-connection-info\n```\n\nAccess the service by navigating to:\n```\nhttp://:\n```\n\nNote: Ensure your network security settings allow access to the configured NodePort.\n\n## Troubleshooting\n\n### Checking Logs\n\n```bash\nkubectl logs deployment/nsight-streamer\n```\n\n### Common Issues\n\n- **Pod Pending**: Check if nodes have enough resources or if GPU requirements can be satisfied\n- **Service Unreachable**: Verify network policies and firewall rules\n- **Authentication Failures**: Check the webUsername and webPassword values\n\n### Automatic Report File Detection\n\nThe Nsight Streamer scans all mounted volumes at startup and selects the first one containing supported report files. The \"Open...\" dialog will be opened with the detected directory.\n\n## Troubleshooting\n\n### Clipboard is not working in Chrome\n\nEnable `chrome://flags/#unsafely-treat-insecure-origin-as-secure` and add the Nsight Streamer URL to the list.\n\n### `Connection failed` on Firefox\n\nIf you encounter a \"Connection failed.\" error on Firefox, you can resolve it by changing a configuration setting:\n\n- Open Firefox and navigate to `about:config`.\n- Search for `media.peerconnection.ice.loopback`.\n- Set the value to true.\n\n### `Connection failed` on Safari\n\nIf you are experiencing connection issues in Safari when using AV1 codec:\n\n- Open Safari and go to Safari menu > Settings > Advanced.\n- Check the box next to \"Show features for web developers\".\n- Go to \"Feature Flags\" and search for \"WebRTC AV1 codec\".\n- Enable the \"WebRTC AV1 codec\" option.\n- Restart Safari and try connecting again.\n\n### The GUI is too small on an HDPI screen\n\nRestart the remote Nsight Tool:\n\n- Go to `File` in the menu bar of Nsight Tool.\n- Select `Exit`.\n- Nsight Tool will be opened with the scaled GUI.\n\n## License Agreements\n\nBy pulling and using the container, you accept the terms and conditions of this [End User License Agreement](https://docs.nvidia.com/nsight-systems/CopyrightAndLicenses/index.html).\n\n## Suggested Reading\n\n- [Getting Started with NVIDIA Nsight Systems](https://docs.nvidia.com/nsight-systems/)\n- [Getting Started with NVIDIA Nsight Compute](https://developer.nvidia.com/tools-overview/nsight-compute/get-started)\n- [Getting Started with NVIDIA Nsight Graphics](https://developer.nvidia.com/tools-overview/nsight-graphics/get-started)\n- [Get Started With Nsight Deep Learning Designer](https://developer.nvidia.com/nsight-dl-designer/getting-started)","displayName","Nsight Streamer",["D",1785898786977],"publisher","NVIDIA","latestVersion","versions","collectionCounts","imageUrl","/api/image/nvidia/devtools/helm-charts/nsight-streamer","rawImageUrl","https://nvdam.widen.net/content/pwk8kpq5rz/web/NVIDIA-Logo-V-ForScreen-ForLightBG.png?color=ffffffff","canGuestDownload","latestVersionSizeInBytes",6711,"licenseTerms","isMultinodeEnabled","isMultiArchitecture","bias","explainability","privacy","safetyAndSecurity","featureLabels",[],"displayLabels",[271],"policyLabels",[],"systemLabels",[],"products",[],"hasNimMetadata",{"_238":272,"_273":272,"_274":275,"_276":277},"NSPECT-HCNB-YOJN","value","filter",{"_278":277,"_273":272},"category","label","field",{"_107":1256,"_109":1257},"ngcApps",[1209],"csaApiBaseUrl","https://www.nvidia.com/ai-agents/csa-agent/dcsm","datadogRum",{"_1190":1191,"_1192":1193,"_1194":1195,"_1196":1197,"_1198":290,"_139":316,"_1199":1200,"_1201":55,"_1202":86,"_1203":86,"_1204":1205,"_1206":86,"_1207":1208},"amplitude",{"_1187":1188,"_828":-7,"_1189":30},"disableJs","environment","prod","featureFlagsBlob","JTdCJTIydGVzdEZsYWclMjIlM0FmYWxzZSUyQyUyMnNob3dTZWFyY2hMYWJlbFNldEZpbHRlcnMlMjIlM0FmYWxzZSUyQyUyMmVuYWJsZUNzYVdpZGdldCUyMiUzQWZhbHNlJTJDJTIyZW5hYmxlUHJvZHVjdEdyb3VwaW5nQnlTdWJzY3JpcHRpb24lMjIlM0FmYWxzZSUyQyUyMmNvbnRhaW5lclNjYW5uaW5nUmVkZXNpZ25NMiUyMiUzQWZhbHNlJTdE","featureFlagsGuarded","isDevLikeEnv","isPlaywright","isMobileDevice","categorizedOrgs",{"_1181":1182,"_1183":1184,"_1185":1186},"currentOrgContext","currentContextRoles",[],"enterpriseOrgs",[],"manageableExternalUserGroups",[],"ngcApiOrigin","ngcHelmOrigin","origin","https://catalog.ngc.nvidia.com","usesMocks","theme","year",2026,"now",1788012837891,"1.12.0","defaultSearchSuggestions",{"_1068":396,"_1069":1070,"_1071":1072,"_1073":1074},"announcements",[],"consentState",{"_354":1058,"_1059":86,"_1060":30,"_1061":30,"_1062":1063},"consentConfig",{"_336":337,"_338":339,"_340":341,"_342":343,"_344":345,"_346":347,"_348":349,"_350":351,"_352":353,"_354":355},"showContactAdmin",1788012837897,[],[],[330,331,332,333,334,335],{"_44":59,"_46":70,"_48":102,"_50":-5,"_52":-5,"_54":55},{"_44":59,"_46":68,"_48":102,"_50":-5,"_52":-5,"_54":55},{"_44":59,"_46":66,"_48":102,"_50":-5,"_52":-5,"_54":55},{"_44":59,"_46":60,"_48":102,"_50":-5,"_52":-5,"_54":55},{"_44":56,"_46":57,"_48":102,"_50":-5,"_52":-5,"_54":55},{"_44":45,"_46":47,"_48":102,"_50":-5,"_52":-5,"_54":55},"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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It stores a unique visitor identifier, and uses an organisation identifier to allow a company to track users across their domains and services.This is a pattern type cookie name associated with Adobe Marketing Cloud. It stores a unique visitor identifier, and uses an organisation identifier.","_rdt_pn","www.nvidia.com","This cookie name is associated with www.mind.org.uk which is used for marketing purposes.","AMP_*","build.nvidia.com","Supports Amplitude product analytics.","_gcl_au","Used by Google AdSense for experimenting with advertisement efficiency across websites using their services","_mkto_trk","This cookie is associated with an email marketing service provided by Marketo. 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These cookies may store a unique ID so that our system will remember you when you return. 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users logged in across NVIDIA domains.","api.ngc.nvidia.com","This cookie is managed by AWS and is used for load balancing.","bm_so","This cookie name is used to load the site as quickly as possible and to recognize bots using Akamai.","The __cf_bm cookie is a cookie necessary to support Cloudflare Bot Management, currently in private beta. 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Nsight Streamer

Benefits

Warning

Getting Started

Prerequisites

Installation

Quick Start

Advanced Installation Options

Enabling Hardware Acceleration

Runtime environment variables

Configuration

Configuration Values

Example values.yaml

Accessing the Service

ClusterIP Service Type

NodePort Service Type

Troubleshooting

Checking Logs

Common Issues

Automatic Report File Detection

Troubleshooting

Clipboard is not working in Chrome

Connection failed on Firefox

Connection failed on Safari

The GUI is too small on an HDPI screen

License Agreements

Suggested Reading

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