TAO Converter [Deprecated]

This resource has been deprecated in favor of the nvidia-tao-deploy package in TAO. For further instruction on how to get this package, refer to the TAO documentation.

The models trained in TAO Toolkit are deployed to NVIDIA's Inference SDK's such as DeepStream, Riva etc\nvia TensorRT. NVIDIA TensorRT is an SDK for high-performance deep learning inference. TensorRT provides APIs and parsers\nto import trained models from all major deep learning frameworks. It then generates optimized runtime engines\ndeployable in the datacenter as well as in automotive and embedded environments. To understand TensorRT and it's\ncapabilities better, refer to the official TensorRT documentation. While the conversational AI models trained using TAO Toolkit can be consumed via TensorRT only via Riva,\nthe computer vision models trained by TAO Toolkit can be consumed by TensorRT, via the tao-converter tool. The\nTAO Converter parses the exported .etlt model file, and generates an optimized TensorRT engine. These engines\ncan be generated to support inference at low precision, such as FP16 or INT8.

While most of the TAO models support direct integration of the .etlt files to DeepStream 6.1, DeepStream can also\nconsume the optimized engine generated by the tao-converter.

The TensorRT engines generated by this tao-converter are specific to the GPU that it was generated on. So,\nbased on the platform that the model is being deployed to, you will need to download the specific version of\nthe tao-converter and generate the engine there.

The TAO models from TAO 3.0-22.05 have been verified to integrate with TensorRT version 7.0, 7.1, 7.2, 8.0, 8.2 and 8.4.

TensorRT Open Source Software

Even though TensorRT contains optimized implementations for several common operations used in Deep Neural Networks(DNNs),\nwith Deep Learning being such a quickly evolving discipline, TensorRT provides users a method to bring in new operations\nvia to the model graph via custom TensorRT Plugins. Several samples of these custom plug-ins are hosted on\nGitHub under the repository called TensorRT OSS.

Instructions to build and install TensorRT OSS can be found in this repository.

The TAO applications that require TensorRT OSS are:

FasterRCNN
SSD
DSSD
YOLOv3
YOLOv4
YOLOv4-tiny
RetinaNet
MaskRCNN
EfficientDet
PointPillars

Installing the TAO Converter

The TAO Converter is distributed as a separate binary for x86 and Jetson platforms. The following table lists the links where you can download the tao-converter.

\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\">

TensorRT	Platform
7.2	x86
7.1	x86
8.0	x86
8.2	x86
8.4	x86
8.0	aarch64
8.2	aarch64
8.4	aarch64

Before installing the tao-converter, install the TensorRT OSS library by following the instructions\nhere.

Downloading the converter

For an x86 platform with discrete GPUs, the default TAO package includes the tao-converter\nbuilt for TensorRT 8.2.5.1 with CUDA 11.4 and CUDNN 8.2. However, for any other version of TensorRT,\nyou may download using the command below:

--dest /path/to/download/directory\n\">

ngc registry resource download-version nvidia/tao/tao-converter:<latest_version> --dest /path/to/download/directory\n

Installing on an x86 platform

Once the tao-converter is downloaded, follow the instructions below to generate a TensorRT engine.

\n
Unzip the zip file on the target machine.
\n
\n
Install the OpenSSL package using the command:
\n
```
sudo apt-get install libssl-dev\n
```
\n

Export the following environment variables:

export TRT_LIB_PATH=”/usr/lib/x86_64-linux-gnu”\nexport TRT_INC_PATH=”/usr/include/x86_64-linux-gnu”\n

\n
Run the tao-converter using the sample command below and generate the engine.
\n
\n
Instructions to build TensorRT OSS on Jetson can be found in the TensorRT OSS\non x86 section above or in this\nGitHub repo`.
\n

\n
Make sure to follow the output node names as mentioned in Exporting the Model\nsection of the respective model in the TAO Toolkit documentation
\n

Installing on an jetson platform

Once the tao-converter is downloaded, follow the instructions below to generate a TensorRT engine.

\n
Unzip the zip file on the target machine.
\n
\n
Install the OpenSSL package using the command:
\n
```
sudo apt-get install libssl-dev\n
```
\n

Export the following environment variables:

export TRT_LIB_PATH=”/usr/lib/aarch64-linux-gnu”\nexport TRT_INC_PATH=”/usr/include/aarch64-linux-gnu”\n

\n
Run the tao-converter using the sample command below and generate the engine.
\n
\n
Instructions to build TensorRT OSS on Jetson can be found in the TensorRT OSS\non aarch64 section above or in this\nGitHub repo`.
\n

\n
Due to changes in the TensorRT API between versions 8.x.x and 7.2.x,\nthe deployable models generated using the export task in TAO Toolkit 3.0-21.11+\ncan only be deployed in DeepStream version 6.1. Inorder to deploy the models compatible\nwith DeepStream 5.1 from the table above with DeepStream 5.1, you will need to run the\ncorresponding tao <model> export task using the TAO Toolkit 3.0-21.08 package to re-generate\na deployable model and calibration cache file that is compatible with TensorRT 7.2.
\n
Similarly, if you have a model trained with TAO Toolkit 3.0-21.08 package and want to deploy\nto DeepStream 6.1, please regenerate the deployable model.etlt and int8 calibration\nfile using the corresponding tao <model> export task in TAO Toolkit 3.0-21.11+
\n
TAO Toolkit 3.0-22.05 was built with TensorRT 8.2.5.1.
\n\n
TAO Toolkit -> DeepStream version interoperability
\n
To install the 3.0-21.08 or 3.0-21.11 package, please instantiate a new virtual environment by following the\ninstructions in the :ref:Quick Start Guide <installing_tao_toolkit> and run the following commands
\n
\n
=0.1.20 # for 3.0-21.11\npip3 install nvidia-tao>=0.1.23 # for 3.0-22.05\n\">
pip3 install nvidia-pyindex\npip3 install nvidia-tao==0.1.19    # for 3.0-21.08\npip3 install nvidia-tao>=0.1.20    # for 3.0-21.11\npip3 install nvidia-tao>=0.1.23    # for 3.0-22.05\n
\n
\n

Running the TAO converter

\n -d \n -o \n [-c ]\n [-e ]\n [-b ]\n [-m ]\n [-t ]\n [-w ]\n [-i ]\n [-p ]\n [-s]\n [-u ]\n input_file\n\">

    tao-converter [-h] -k <encryption_key>\n                       -d <input_dimensions>\n                       -o <comma separated output nodes>\n                       [-c <path to calibration cache file>]\n                       [-e <path to output engine>]\n                       [-b <calibration batch size>]\n                       [-m <maximum batch size of the TRT engine>]\n                       [-t <engine datatype>]\n                       [-w <maximum workspace size of the TRT Engine>]\n                       [-i <input dimension ordering>]\n                       [-p <optimization_profiles>]\n                       [-s]\n                       [-u <DLA_core>]\n                       input_file\n

Required Arguments

input_file: Path to the .etlt model exported using tao <model> export.
-k: The key used to encode the .tlt model when doing the training.
-d: Comma-separated list of input dimensions that should match the dimensions used for\ntao <model> export.
-o: Comma-separated list of output blob names that should match the output configuration\nused for tao <model> export.

Optional Arguments

-e: Path to save the engine to. (default: ./saved.engine)
-t: Desired engine data type, generates calibration cache if in INT8 mode. The default\nvalue is fp32. The options are {fp32, fp16, int8}.
-w: Maximum workspace size for the TensorRT engine. The default value is 1073741824(1<<30).
-i: Input dimension ordering, all other TAO commands use NCHW. The default value is\nnchw. The options are {nchw, nhwc, nc}.
-p: Optimization profiles for .etlt models with dynamic shape. Comma separated\nlist of optimization profile shapes in the format <input_name>,<min_shape>,<opt_shape>,<max_shape>,\nwhere each shape has the format: <n>x<c>x<h>x<w>. Can be specified multiple times if there are\nmultiple input tensors for the model. This is only useful for new models introduced in TAO Toolkit 3.21.08.\nThis parameter is not required for models that are already existed in TAO Toolkit 2.0.
-s: TensorRT strict type constraints. A Boolean to apply TensorRT strict type constraints\nwhen building the TensorRT engine.
-u: Use DLA core. Specifying DLA core index when building the TensorRT engine on Jetson devices.

INT8 Mode Arguments

-c: Path to calibration cache file, only used in INT8 mode. The default value is\n./cal.bin.
-b: Batch size used during the export step for INT8 calibration cache generation.\n(default: 8).
-m: Maximum batch size for TensorRT engine.(default: 16). If meet with out-of-memory\nissue, decrease the batch size accordingly. This parameter is not required for .etlt\nmodels generated with dynamic shape. (This is only possible for new models introduced in TAO Toolkit 3.21.08.)

The usage for each TAO Computer Vision is explained in the respective models chapter.

","resourceVersions",[199,200,201,202,203,204,205,206,207,208,209,210,211,212,213],"resourceVersionsTotal",14,"hasMoreVersions","versionMetadata",{"_173":22,"_174":-5,"_49":175,"_176":-5,"_177":178,"_179":-5,"_180":181,"_182":16,"_183":31,"_184":-5,"_185":31,"_186":-5,"_187":31,"_188":189,"_190":31,"_191":189,"_192":31,"_193":189,"_194":31,"_195":189,"_196":31,"_197":198},"versionNotFound","isLoggedIn","latestVersionPath","/orgs/nvidia/tao/resources/tao-converter/-","version","imageReference","cliDownloadCommand","ngc registry resource download-version nvidia/tao/tao-converter:v3.21.08_trt7.2_x86","helmFetchCommand","viewAllVersionsPath","/orgs/nvidia/tao/resources/tao-converter/v3.21.08_trt7.2_x86/version-history","accessCheckResult",{"_172":92},"hasRelatedCollections","context",{"_168":169,"_170":171},1785274778548,[],[],[161,162,163,164,165,166,167],{"_45":60,"_47":70,"_49":62,"_51":63,"_53":71,"_55":56},{"_45":60,"_47":68,"_49":62,"_51":63,"_53":69,"_55":56},{"_45":60,"_47":67,"_49":62,"_51":63,"_53":66,"_55":56},{"_45":60,"_47":65,"_49":108,"_51":-5,"_53":-5,"_55":56},{"_45":60,"_47":61,"_49":62,"_51":63,"_53":64,"_55":56},{"_45":57,"_47":58,"_49":50,"_51":52,"_53":59,"_55":56},{"_45":46,"_47":48,"_49":50,"_51":52,"_53":54,"_55":56},"orgName","nvidia","teamName","tao","allowed","versionId","description","UPLOAD_COMPLETE","releaseType","createdDate",["D",1653596717731],"updatedDate","totalSizeInBytes",114229,"totalFileCount","isSigned","malwareScanStatus","isScanned","releaseNotes","hasReleaseNotes","setup","","hasSetup","quickStartGuide","hasQuickStartGuide","advanced","hasAdvanced","performance","hasPerformance","policies",[],{"_77":241,"_79":242,"_176":-5,"_183":31,"_185":31,"_197":240,"_187":31},{"_77":239,"_79":239,"_176":-5,"_183":31,"_185":31,"_197":240,"_187":31},{"_77":237,"_79":237,"_176":-5,"_183":31,"_185":31,"_197":238,"_187":31},{"_77":235,"_79":235,"_176":-5,"_183":31,"_185":31,"_197":236,"_187":31},{"_77":233,"_79":233,"_176":-5,"_183":31,"_185":31,"_197":234,"_187":31},{"_77":231,"_79":231,"_176":-5,"_183":31,"_185":31,"_197":232,"_187":31},{"_77":229,"_79":229,"_176":-5,"_183":31,"_185":31,"_197":230,"_187":31},{"_77":227,"_79":227,"_176":-5,"_183":31,"_185":31,"_197":228,"_187":31},{"_77":225,"_79":225,"_176":-5,"_183":31,"_185":31,"_197":226,"_187":31},{"_77":223,"_79":223,"_176":-5,"_183":31,"_185":31,"_197":224,"_187":31},{"_77":221,"_79":221,"_176":-5,"_183":31,"_185":31,"_197":222,"_187":31},{"_77":22,"_79":22,"_176":-5,"_183":31,"_185":31,"_197":220,"_187":31},{"_77":218,"_79":218,"_176":-5,"_183":31,"_185":31,"_197":219,"_187":31},{"_77":216,"_79":216,"_176":-5,"_183":31,"_185":31,"_197":217,"_187":31},{"_77":214,"_79":214,"_176":-5,"_183":31,"_185":31,"_197":215,"_187":31},"v3.22.05_trt8.4_x86",[],"v3.22.05_trt8.2_x86",[],"v3.22.05_trt8.4_aarch64",[],[],"v3.21.08_trt7.1_x86",[],"v3.21.11_trt8.0_x86",[],"v3.21.08_trt7.1_aarch64",[],"v3.21.11_trt8.0_aarch64",[],"v3.21.11_trt7.1_agx",[],"v4.0.0_trt8.5.2.2_x86",[],"v4.0.0_trt8.5.1.7_x86",[],"v4.0.0_trt8.5.2.2_aarch64",[],"v5.1.0_jp6.0_aarch64",[],"v5.1.0_8.6.3.1_x86",[],"-","Latest (v5.1.0_8.6.3.1_x86)","nvidia/tao/tao-converter","key","nvidia/tao/resources/tao-converter","resourceType","resources","resourceId","shortDescription","Binary to decrypt a .etlt from TAO Toolkit and generate a TensorRT engine","# TAO Converter [Deprecated]\n\n**This resource has been deprecated in favor of the `nvidia-tao-deploy` package in TAO. For further instruction on how to get this package, refer to the [TAO documentation](https://docs.nvidia.com/tao/tao-toolkit/text/tao_deploy/tao_deploy_overview.html).**\n\nThe models trained in TAO Toolkit are deployed to NVIDIA's Inference SDK's such as DeepStream, Riva etc\nvia TensorRT. NVIDIA TensorRT is an SDK for high-performance deep learning inference. TensorRT provides APIs and parsers\nto import trained models from all major deep learning frameworks. It then generates optimized runtime engines\ndeployable in the datacenter as well as in automotive and embedded environments. To understand TensorRT and it's\ncapabilities better, refer to the official [TensorRT documentation](https://developer.nvidia.com/tensorrt). While the conversational AI models trained using TAO Toolkit can be consumed via TensorRT only via Riva,\nthe computer vision models trained by TAO Toolkit can be consumed by TensorRT, via the `tao-converter` tool. The\n**TAO Converter** parses the exported `.etlt` model file, and generates an optimized TensorRT engine. These engines\ncan be generated to support inference at low precision, such as `FP16` or `INT8`.\n\nWhile most of the TAO models support direct integration of the .etlt files to DeepStream 6.1, DeepStream can also\nconsume the optimized engine generated by the `tao-converter`.\n\nThe TensorRT engines generated by this `tao-converter` are specific to the GPU that it was generated on. So,\nbased on the platform that the model is being deployed to, you will need to download the specific version of\nthe `tao-converter` and generate the engine there.\n\nThe TAO models from TAO 3.0-22.05 have been verified to integrate with TensorRT version 7.0, 7.1, 7.2, 8.0, 8.2 and 8.4.\n\n## TensorRT Open Source Software\n\nEven though TensorRT contains optimized implementations for several common operations used in Deep Neural Networks(DNNs),\nwith Deep Learning being such a quickly evolving discipline, TensorRT provides users a method to bring in new operations\nvia to the model graph via custom `TensorRT Plugins`. Several samples of these custom plug-ins are hosted on\nGitHub under the repository called [TensorRT OSS](https://github.com/NVIDIA/TensorRT).\n\nInstructions to build and install TensorRT OSS can be found in this [repository](https://github.com/NVIDIA-AI-IOT/deepstream_tlt_apps/tree/master/TRT-OSS).\n\nThe TAO applications that require TensorRT OSS are:\n\n* FasterRCNN\n* SSD\n* DSSD\n* YOLOv3\n* YOLOv4\n* YOLOv4-tiny\n* RetinaNet\n* MaskRCNN\n* EfficientDet\n* PointPillars\n\n## Installing the TAO Converter \n\nThe TAO Converter is distributed as a separate binary for x86 and Jetson platforms. The following table lists the links where you can download the `tao-converter`.\n\n| **TensorRT** | **Platform** |\n| :-- | :-- |\n| 7.2 | x86 |\n| 7.1 | x86 |\n| 8.0 | x86 |\n| 8.2 | x86 |\n| 8.4 | x86 |\n| 8.0 | aarch64 |\n| 8.2 | aarch64 |\n| 8.4 | aarch64 |\n\nBefore installing the `tao-converter`, install the TensorRT OSS library by following the instructions\n[here](https://github.com/NVIDIA-AI-IOT/deepstream_tlt_apps/tree/master/TRT-OSS).\n\n### Downloading the converter \n\nFor an x86 platform with discrete GPUs, the default TAO package includes the `tao-converter`\nbuilt for TensorRT 8.2.5.1 with CUDA 11.4 and CUDNN 8.2. However, for any other version of TensorRT,\nyou may download using the command below:\n\n```sh\nngc registry resource download-version nvidia/tao/tao-converter: --dest /path/to/download/directory\n```\n\n### Installing on an x86 platform \n\nOnce the `tao-converter` is downloaded, follow the instructions below to generate a TensorRT engine.\n\n1. Unzip the zip file on the target machine.\n2. Install the OpenSSL package using the command:\n\n ```sh\n sudo apt-get install libssl-dev\n ```\n\n3. Export the following environment variables:\n\n ```sh\n export TRT_LIB_PATH=”/usr/lib/x86_64-linux-gnu”\n export TRT_INC_PATH=”/usr/include/x86_64-linux-gnu”\n ```\n\n4. Run the `tao-converter` using the sample command below and generate the engine.\n\n5. Instructions to build TensorRT OSS on Jetson can be found in the [TensorRT OSS\n on x86](#instructions-for-jetson-with-OSS) section above or in this\n [GitHub repo](https://github.com/NVIDIA-AI-IOT/deepstream_tlt_apps)`.\n\n> Make sure to follow the output node names as mentioned in `Exporting the Model`\n> section of the respective model in the [TAO Toolkit documentation](placeholder)\n\n### Installing on an jetson platform\n\nOnce the `tao-converter` is downloaded, follow the instructions below to generate a TensorRT engine.\n\n1. Unzip the zip file on the target machine.\n2. Install the OpenSSL package using the command:\n\n ```sh\n sudo apt-get install libssl-dev\n ```\n\n3. Export the following environment variables:\n\n ```sh\n export TRT_LIB_PATH=”/usr/lib/aarch64-linux-gnu”\n export TRT_INC_PATH=”/usr/include/aarch64-linux-gnu”\n ```\n\n4. Run the `tao-converter` using the sample command below and generate the engine.\n\n5. Instructions to build TensorRT OSS on Jetson can be found in the [TensorRT OSS\n on aarch64](#instructions-for-jetson-with-OSS) section above or in this\n [GitHub repo](https://github.com/NVIDIA-AI-IOT/deepstream_tlt_apps)`.\n\n> Due to changes in the TensorRT API between versions `8.x.x` and `7.2.x`,\n> the deployable models generated using the `export` task in TAO Toolkit 3.0-21.11+\n> can only be deployed in DeepStream version 6.1. Inorder to deploy the models compatible\n> with DeepStream 5.1 from the table above with DeepStream 5.1, you will need to run the \n> corresponding `tao export` task using the TAO Toolkit 3.0-21.08 package to re-generate\n> a deployable model and calibration cache file that is compatible with TensorRT 7.2.\n> \n> Similarly, if you have a model trained with TAO Toolkit 3.0-21.08 package and want to deploy\n> to DeepStream 6.1, please regenerate the deployable `model.etlt` and int8 calibration\n> file using the corresponding `tao export` task in TAO Toolkit 3.0-21.11+\n> \n> TAO Toolkit 3.0-22.05 was built with TensorRT 8.2.5.1.\n> \n> \n> TAO Toolkit -> DeepStream version interoperability\n> \n> To install the 3.0-21.08 or 3.0-21.11 package, please instantiate a new virtual environment by following the\n> instructions in the :ref:`Quick Start Guide ` and run the following commands\n> \n> \n>> ```sh\n>> pip3 install nvidia-pyindex\n>> pip3 install nvidia-tao==0.1.19 # for 3.0-21.08\n>> pip3 install nvidia-tao>=0.1.20 # for 3.0-21.11\n>> pip3 install nvidia-tao>=0.1.23 # for 3.0-22.05\n>> ```\n\n## Running the TAO converter\n\n```sh\n tao-converter [-h] -k \n -d \n -o \n [-c ]\n [-e ]\n [-b ]\n [-m ]\n [-t ]\n [-w ]\n [-i ]\n [-p ]\n [-s]\n [-u ]\n input_file\n```\n\n### Required Arguments\n\n* `input_file`: Path to the `.etlt` model exported using `tao export`.\n* `-k`: The key used to encode the `.tlt` model when doing the training.\n* `-d`: Comma-separated list of input dimensions that should match the dimensions used for\n `tao export`.\n* `-o`: Comma-separated list of output blob names that should match the output configuration\n used for `tao export`.\n\n### Optional Arguments\n\n* `-e`: Path to save the engine to. (default: `./saved.engine`)\n* `-t`: Desired engine data type, generates calibration cache if in INT8 mode. The default\n value is `fp32`. The options are {`fp32`, `fp16`, `int8`}.\n* `-w`: Maximum workspace size for the TensorRT engine. The default value is `1073741824(1<<30)`.\n* `-i`: Input dimension ordering, all other TAO commands use NCHW. The default value is\n `nchw`. The options are {`nchw`, `nhwc`, `nc`}.\n* `-p`: Optimization profiles for `.etlt` models with dynamic shape. Comma separated\n list of optimization profile shapes in the format `,,,`,\n where each shape has the format: `xxx`. Can be specified multiple times if there are\n multiple input tensors for the model. This is only useful for new models introduced in TAO Toolkit 3.21.08.\n This parameter is not required for models that are already existed in TAO Toolkit 2.0.\n* `-s`: TensorRT strict type constraints. A Boolean to apply TensorRT strict type constraints\n when building the TensorRT engine.\n* `-u`: Use DLA core. Specifying DLA core index when building the TensorRT engine on Jetson devices.\n\n### INT8 Mode Arguments\n\n* `-c`: Path to calibration cache file, only used in INT8 mode. The default value is\n `./cal.bin`.\n* `-b`: Batch size used during the export step for INT8 calibration cache generation.\n (default: `8`).\n* `-m`: Maximum batch size for TensorRT engine.(default: `16`). If meet with out-of-memory\n issue, decrease the batch size accordingly. This parameter is not required for `.etlt`\n models generated with dynamic shape. (This is only possible for new models introduced in TAO Toolkit 3.21.08.)\n\nThe usage for each TAO Computer Vision is explained in the respective models chapter.","displayName","TAO Converter",["D",1724451786317],"publisher","NVIDIA","latestVersion","versions","collectionCounts","imageUrl","/api/image/nvidia/tao/resources/tao-converter","rawImageUrl","https://dz112fgwz7ogh.cloudfront.net/logos/Nvidia-Centric-TAO.png","canGuestDownload","latestVersionSizeInBytes",453438,"licenseTerms","isMultinodeEnabled","isMultiArchitecture","bias","explainability","privacy","safetyAndSecurity","featureLabels",[],"displayLabels",[],"policyLabels",[],"systemLabels",[],"products",[],"hasNimMetadata",{"_113":1263,"_115":1264},"ngcApps",[1216],"csaApiBaseUrl","https://www.nvidia.com/ai-agents/csa-agent/dcsm","datadogRum",{"_1197":1198,"_1199":1200,"_1201":1202,"_1203":1204,"_1205":296,"_145":320,"_1206":1207,"_1208":56,"_1209":92,"_1210":92,"_1211":1212,"_1213":92,"_1214":1215},"amplitude",{"_1194":1195,"_832":-7,"_1196":31},"disableJs","environment","prod","featureFlagsBlob","JTdCJTIydGVzdEZsYWclMjIlM0FmYWxzZSUyQyUyMnNob3dTZWFyY2hMYWJlbFNldEZpbHRlcnMlMjIlM0FmYWxzZSUyQyUyMmVuYWJsZUNzYVdpZGdldCUyMiUzQWZhbHNlJTJDJTIyZW5hYmxlUHJvZHVjdEdyb3VwaW5nQnlTdWJzY3JpcHRpb24lMjIlM0FmYWxzZSUyQyUyMmNvbnRhaW5lclNjYW5uaW5nUmVkZXNpZ25NMSUyMiUzQXRydWUlN0Q=","featureFlagsGuarded","isDevLikeEnv","isPlaywright","isMobileDevice","categorizedOrgs",{"_1188":1189,"_1190":1191,"_1192":1193},"currentOrgContext","currentContextRoles",[],"enterpriseOrgs",[],"locale","en","ngcApiOrigin","ngcHelmOrigin","origin","https://catalog.ngc.nvidia.com","usesMocks","theme","year",2026,"1.10.0","defaultSearchSuggestions",{"_1072":189,"_1073":1074,"_1075":1076,"_1077":1078},"announcements",[],"consentState",{"_359":1062,"_1063":92,"_1064":31,"_1065":31,"_1066":1067},"consentConfig",{"_341":342,"_343":344,"_345":346,"_347":348,"_349":350,"_351":352,"_353":354,"_355":356,"_357":358,"_359":360},"showContactAdmin",1785274778482,[],[],[334,335,336,337,338,339],{"_45":60,"_47":70,"_49":108,"_51":-5,"_53":-5,"_55":56},{"_45":60,"_47":68,"_49":108,"_51":-5,"_53":-5,"_55":56},{"_45":60,"_47":67,"_49":108,"_51":-5,"_53":-5,"_55":56},{"_45":60,"_47":61,"_49":108,"_51":-5,"_53":-5,"_55":56},{"_45":57,"_47":58,"_49":108,"_51":-5,"_53":-5,"_55":56},{"_45":46,"_47":48,"_49":50,"_51":52,"_53":340,"_55":56},5,"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. The information collected might relate to you, your preferences, or your device. We use that information to make the site work, analyze performance and traffic on our website, provide a more personalized web experience, and assist in our marketing efforts.

Under certain privacy laws, you have the right to direct us not to \"sell\" or \"share\" your personal information for targeted advertising. To opt-out of the \"sale\" and \"sharing\" of personal information through cookies, you must opt-out of optional cookies using the toggles below. To opt out of the \"sale\" and \"sharing\" of data collected by other means (e.g., online forms) you must also update your data sharing preferences through the NVIDIA Preference Center.

Click on the different category headings below to find out more and change the settings according to your preference. You cannot opt out of Required Cookies as they are deployed to ensure the proper functioning of our website (such as prompting the cookie banner and remembering your settings, etc.). By clicking \"Save and Accept\" or \"Decline All\" at the bottom, you consent to the use of cookies and other tools as described in our Cookie Policy in accordance with your settings and accept our Terms of Service (which contains important waivers). For more information about our privacy practices, please see our Privacy Policy.","mainText","Cookie Settings","alertNoticeText",{"_1054":1055,"_1056":1057,"_1058":1059,"_1060":1061},"bannerAcceptLabel","Accept All","bannerRejectLabel","Reject Optional","bannerSettingsLabel","Manage Settings","preferenceSaveLabel","Save Choices","preferenceRejectLabel","Decline All","alwaysActiveText","Always Active","groups",[361,362,363,364,365],{"_366":744,"_79":745,"_174":746,"_370":92,"_371":18,"_373":747,"_375":748},{"_366":647,"_79":648,"_174":649,"_370":31,"_371":59,"_373":650,"_375":651},{"_366":555,"_79":556,"_174":557,"_370":31,"_371":54,"_373":558,"_375":559},{"_366":377,"_79":378,"_174":379,"_370":31,"_371":340,"_373":380,"_375":381},{"_366":367,"_79":368,"_174":369,"_370":31,"_371":372,"_373":374,"_375":376},"optanonGroupId","C0005","Social Media Cookies","These cookies are set by a range of social media services that we have added to the site to enable you to share our content with your friends and networks. They are capable of tracking your browser across other sites and building up a profile of your interests. This may impact the content and messages you see on other websites you visit. If you do not allow these cookies you may not be able to use or see these sharing tools.","alwaysActive","order",11,"cookies",[],"hosts",[],"C0004","Advertising Cookies","These cookies record your visit to our websites, the pages you have visited and the links you have followed to influence the advertisements that you see on other websites. These cookies and the information they collect may be managed by other companies, including our advertising partners, and may be used to build a profile of your interests and show you relevant advertising on other sites. We and our advertising partners will use this information to make our websites and the advertising displayed on it, more relevant to your interests.",[497,498,499,500,501,502,503,504,505,506,507,508,509,510,511,512,513,514,515,516,517,518],[382,383,384,385,386,387,388,389,390,391,392,393,394,395,396,397,398],{"_399":492,"_252":492,"_174":189,"_373":493},{"_399":488,"_252":488,"_174":189,"_373":489},{"_399":483,"_252":483,"_174":189,"_373":484},{"_399":479,"_252":479,"_174":189,"_373":480},{"_399":474,"_252":474,"_174":189,"_373":475},{"_399":469,"_252":469,"_174":189,"_373":470},{"_399":461,"_252":461,"_174":189,"_373":462},{"_399":453,"_252":453,"_174":189,"_373":454},{"_399":448,"_252":448,"_174":189,"_373":449},{"_399":443,"_252":443,"_174":189,"_373":444},{"_399":438,"_252":438,"_174":189,"_373":439},{"_399":433,"_252":433,"_174":189,"_373":434},{"_399":428,"_252":428,"_174":189,"_373":429},{"_399":421,"_252":421,"_174":189,"_373":422},{"_399":416,"_252":416,"_174":189,"_373":417},{"_399":409,"_252":409,"_174":189,"_373":410},{"_399":400,"_252":400,"_174":189,"_373":401},"hostName","amazon-adsystem.com",[402,403],{"_79":408,"_405":400,"_406":31,"_174":407},{"_79":404,"_405":400,"_406":31,"_174":407},"ad-privacy","host","isSession","This domain is owned by online retailer Amazon and is used as part of its affiliate marketing programme.","ad-id","doubleclick.net",[411,412],{"_79":415,"_405":409,"_406":31,"_174":414},{"_79":413,"_405":409,"_406":31,"_174":414},"IDE","This domain is owned by Doubleclick (Google). The main business activity is: Doubleclick is Googles real time bidding advertising exchange","test_cookie","bing.com",[418],{"_79":419,"_405":416,"_406":31,"_174":420},"MUID","This domain is owned by Mircosoft - it is the site for the search engine Bing.","assets.adobedtm.com",[423,424],{"_79":427,"_405":421,"_406":31,"_174":426},{"_79":425,"_405":421,"_406":31,"_174":426},"kndctr_F207D74D549850760A4C98C6_AdobeOrg_*","If you know anything about this host and its uses please add your contributions here. ","kndctr_F207D74D549850760A4C98C6_AdobeOrg_consent","tiktok.com",[430],{"_79":431,"_405":428,"_406":31,"_174":432},"_ttp","TikTok is a social media platform owned by ByteDance, known for short-form video sharing. The service is used to create and share videos, and it utilizes cookies for various purposes including advertising and analytics.","t.co",[435],{"_79":436,"_405":433,"_406":31,"_174":437},"muc_ads","This domain is owned by Twitter. It is used as a URL shortening service, which allows Twitter to collect data on how links are shared.","snowplow.com",[440],{"_79":441,"_405":438,"_406":31,"_174":442},"sp","Testing","google.com",[445],{"_79":446,"_405":443,"_406":31,"_174":447},"NID","This domain is owned by Google Inc. Although Google is primarily known as a search engine, the company provides a diverse range of products and services. Its main source of revenue however is advertising. Google tracks users extensively both through its own products and sites, and the numerous technologies embedded into many millions of websites around the world. It uses the data gathered from most of these services to profile the interests of web users and sell advertising space to organisations based on such interest profiles as well as aligning adverts to the content on the pages where its customer's adverts appear.","linkedin.com",[450],{"_79":451,"_405":448,"_406":31,"_174":452},"bcookie","This domain is owned by LinkedIn, the business networking platform. It typically acts as a third party host where website owners have placed one of its content sharing buttons in their pages, although its content and services can be embedded in other ways. Although such buttons add functionality to the website they are on, cookies are set regardless of whether or not the visitor has an active Linkedin profile, or agreed to their terms and conditions. For this reason it is classified as a primarily tracking/targeting domain.","twitter.com",[455,456],{"_79":459,"_405":453,"_406":31,"_174":460},{"_79":457,"_405":453,"_406":31,"_174":458},"personalization_id","This domain is owned by Twitter. The main business activity is: Social Networking Services. Where twitter acts as a third party host, it collects data through a range of plug-ins and integrations, that is primarily used for tracking and targeting.","guest_*","This domain is owned by X (formerly Twitter). The main business activity is: Social Networking Services. Where X (formerly Twitter) acts as a third party host, it collects data through a range of plug-ins and integrations, that is primarily used for tracking and targeting.","youtube.com",[463,464],{"_79":467,"_405":461,"_406":31,"_174":468},{"_79":465,"_405":461,"_406":31,"_174":466},"VISITOR_INFO1_LIVE","This cookie is used as a unique identifier to track viewing of videos","__Secure-*","YouTube is a Google owned platform for hosting and sharing videos. YouTube collects user data through videos embedded in websites, which is aggregated with profile data from other Google services in order to display targeted advertising to web visitors across a broad range of their own and other websites.","demdex.net",[471],{"_79":472,"_405":469,"_406":31,"_174":473},"demdex","This cookie helps Adobe Audience Manger perform basic functions such as visitor identification, ID synchronization, segmentation, modeling, reporting, etc.","im-apps.net",[476],{"_79":477,"_405":474,"_406":31,"_174":478},"receive-cookie-deprecation","This domain is owned by im-apps.net which provides information and resources about various instant messaging (IM) applications to help users make informed decisions based on their communication needs.","influ2.com",[481],{"_79":482,"_405":479,"_406":31,"_174":442},"R","6sc.co",[485],{"_79":486,"_405":483,"_406":31,"_174":487},"6suuid","This domain is associated with the company 6Sense Insights, Inc., which provides predictive analytics and account engagement services. It is primarily used for tracking and targeting in marketing automation and advertising.","hushly.com",[490],{"_79":491,"_405":488,"_406":31,"_174":442},"_hly_gvid","t.contentsquare.net",[494],{"_79":495,"_405":492,"_406":92,"_174":496},"_cs_*","This is a session cookie. This is a pattern type cookie where a random 13-digit number is appended to the prefix _cs_.",{"_79":553,"_405":520,"_406":31,"_174":554},{"_79":551,"_405":520,"_406":31,"_174":552},{"_79":549,"_405":520,"_406":31,"_174":550},{"_79":431,"_405":520,"_406":31,"_174":548},{"_79":525,"_405":520,"_406":92,"_174":527},{"_79":547,"_405":520,"_406":31,"_174":189},{"_79":546,"_405":523,"_406":31,"_174":189},{"_79":544,"_405":520,"_406":31,"_174":545},{"_79":542,"_405":520,"_406":31,"_174":543},{"_79":541,"_405":520,"_406":31,"_174":189},{"_79":539,"_405":520,"_406":31,"_174":540},{"_79":525,"_405":538,"_406":92,"_174":527},{"_79":536,"_405":523,"_406":31,"_174":537},{"_79":536,"_405":526,"_406":31,"_174":537},{"_79":495,"_405":520,"_406":31,"_174":496},{"_79":534,"_405":520,"_406":31,"_174":535},{"_79":441,"_405":532,"_406":31,"_174":533},{"_79":530,"_405":520,"_406":31,"_174":531},{"_79":528,"_405":520,"_406":31,"_174":529},{"_79":525,"_405":526,"_406":92,"_174":527},{"_79":522,"_405":523,"_406":31,"_174":524},{"_79":519,"_405":520,"_406":92,"_174":521},"AMCVS_xxxxxAdobeOrg","nvidia.com","This is a pattern type cookie name associated with Adobe Marketing Cloud. 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. This tracking cookie allows a website to link visitor behaviour to the recipient of an email marketing campaign, to measure campaign effectiveness.","investor.nvidia.com","This cookie is associated with Eventbrite and is used to deliver content tailored to the end user's interests and improve content creation. This cookie is also used for event-booking purposes.","_gat_gtag_UA_140825383_2","Google Analytics","_rdt_uuid","This cookie is set by Reddit and is used for tracking the views of embedded videos and performance of the advertisements.","catalog.ngc.nvidia.com","_uetsid","This cookie is used by Bing to determine what ads should be shown that may be relevant to the end user perusing the site. ","kndctr_F207D74D549850760A4C98C6_AdobeOrg_bc_session_id","ttcsid_XXXXXXXXXXXXXXXXXXXXCategory","This cookie name is associated with TikTok which is used to track your activity on the platform, including how you interact with their embedded services on other websites.This cookie is associated with TikTok. It helps track your activity on the platform, including how you interact with their embedded services on other websites.","_fbp","Used by Facebook to deliver a series of advertisement products such as real time bidding from third party advertisers","_zitok","_twpid","This cookie is typically associated with the use of Taptap Digital, a company specializing in digital advertising. It is used for tracking and ad personalization purposes.","_tt_enable_cookie","This cookie name is associated with TikTok which is used to collect data about behavior and purchases on the website and to measure the effect of advertising. It is also used to track website activity to help optimize advertising efforts.","AMCV_xxxxxAdobeOrg","This cookie is used to identify a unique visitor for tracking purposes by Adobe Experience Cloud.This is a pattern type cookie name associated with Adobe Marketing Cloud. It stores a unique visitor identifier, and uses an organisation identifier to allow a company to track users across their domains and services.","ttcsid","This cookie name is associated with TikTok which is used to enable TikTok Ads session tracking by assigning a unique session ID to users who click on TikTok ads, allowing for the attribution of user behavior and conversions within the same session.This cookie is associated with TikTok. It helps track your activity on the platform, including how you interact with their embedded services on other websites.","C0003","Personalization Cookies","These cookies collect data about how you have interacted with our website to help us improve your web experience, such as which pages you have visited. These cookies may store a unique ID so that our system will remember you when you return. They may be set by us or by third party providers whose services we have added to our pages. These cookies enable us to provide enhanced website functionality and personalization as well as make the marketing messages we send to you more relevant to your interests. If you do not allow these cookies, then some or all of these services may not function properly.",[589,590,591,592,593,594,595,596,597,598,599,600,601,602,603,604,605,606,607,608,609,610,611,612,613],[560,561,562,563,564],{"_399":474,"_252":474,"_174":189,"_373":584},{"_399":448,"_252":448,"_174":189,"_373":579},{"_399":574,"_252":574,"_174":189,"_373":575},{"_399":569,"_252":569,"_174":189,"_373":570},{"_399":565,"_252":565,"_174":189,"_373":566},"nvidia.partners",[567],{"_79":568,"_405":565,"_406":31,"_174":442},"edge","app.hushly.com",[571],{"_79":572,"_405":569,"_406":31,"_174":573},"*CORS","This domain is associated with Hushly, a platform that provides lead conversion solutions for content marketing by using personalization and content engagement strategies.","github.com",[576],{"_79":577,"_405":574,"_406":31,"_174":578},"_octo","This domain is owned by Github. The main business activity is: Source code repository and collaboration platform",[580,581],{"_79":583,"_405":448,"_406":31,"_174":452},{"_79":582,"_405":448,"_406":31,"_174":452},"lidc","li_gc",[585,586],{"_79":588,"_405":474,"_406":31,"_174":478},{"_79":587,"_405":474,"_406":31,"_174":478},"imid_*","imid",{"_79":614,"_405":523,"_406":31,"_174":616},{"_79":645,"_405":520,"_406":31,"_174":646},{"_79":614,"_405":644,"_406":31,"_174":616},{"_79":642,"_405":520,"_406":92,"_174":643},{"_79":640,"_405":520,"_406":31,"_174":641},{"_79":639,"_405":622,"_406":92,"_174":189},{"_79":614,"_405":618,"_406":31,"_174":616},{"_79":637,"_405":520,"_406":31,"_174":638},{"_79":614,"_405":526,"_406":31,"_174":616},{"_79":625,"_405":523,"_406":31,"_174":189},{"_79":614,"_405":636,"_406":31,"_174":616},{"_79":634,"_405":520,"_406":31,"_174":635},{"_79":631,"_405":632,"_406":31,"_174":633},{"_79":629,"_405":630,"_406":31,"_174":189},{"_79":614,"_405":626,"_406":31,"_174":616},{"_79":628,"_405":520,"_406":31,"_174":189},{"_79":614,"_405":627,"_406":31,"_174":616},{"_79":625,"_405":626,"_406":31,"_174":189},{"_79":624,"_405":622,"_406":92,"_174":189},{"_79":614,"_405":623,"_406":31,"_174":616},{"_79":614,"_405":622,"_406":31,"_174":616},{"_79":614,"_405":621,"_406":31,"_174":616},{"_79":620,"_405":520,"_406":92,"_174":616},{"_79":617,"_405":618,"_406":92,"_174":619},{"_79":614,"_405":615,"_406":31,"_174":616},"_gd_*","info.nvidia.com","This cookie contains no identifying information and is used for diagnostic purposes by Impact Radius, a service we use to track signup commissions for our affiliate program. We have categorized it under Functionality because it is necessary for the operation of our affiliate program.","nv_country_code","developer.nvidia.com","This cookie is likely used to store the country code of the visitor to provide localized content and possibly for legal compliance with regional data privacy laws.","_gdxxxxxxxxxxxxx","nvidianews.nvidia.com","docs.api.nvidia.com","research.nvidia.com","readme_library","wcmmode","ai-podcast.nvidia.com","resources.nvidia.com","geo_locator","openedx-language-preference","learn.nvidia.com","doxygen_width","raytracing-docs.nvidia.com","This cookie is likely used to remember the width preferences of a sidebar or interface element within a documentation platform like Doxygen.","_sfid_eb78","This cookie is categorized as Functionality Cookie.","crowdsource.nvidia.com","mbox","Cookie set by Adobe SiteCatalyst analytics software - used for measuring the performance of page content using A/B split testing","readme_language","vid","This cookie name 'vid' is used for tracking the search request made by the user on the 'Find a practitioner' page.","at_check","Used by Adobe Target to check if cookies are enabled/supported on the browser","blogs.nvidia.com","nvHeadless","This cookie is likely used to track if a user is using the site in a 'headless' non-GUI mode, which could be for accessibility reasons or for automated processes.","C0002","Performance Cookies","These cookies are used to provide quantitative measures of our website visitors, such as the number of times you visit, time on page, your mouse movements, scrolling, clicks and keystroke activity on the websites; other browsing, search, or product research behavior; and what brought you to our site. These cookies may store a unique ID so that our system will remember you when you return. Information collected with these cookies is used to measure and find ways to improve website performance.",[672,673,674,675,676,677,678,679,680,681,682,683,684,685,686,687,688,689,690,691,692,693,694,695,696,697,698,699,700],[652,653,654,655],{"_399":667,"_252":667,"_174":189,"_373":668},{"_399":662,"_252":662,"_174":189,"_373":663},{"_399":461,"_252":461,"_174":189,"_373":659},{"_399":574,"_252":574,"_174":189,"_373":656},[657],{"_79":658,"_405":574,"_406":92,"_174":578},"_gh_sess",[660],{"_79":661,"_405":461,"_406":92,"_174":468},"YSC","bizible.com",[664],{"_79":665,"_405":662,"_406":31,"_174":666},"_BUID","Bizible is a marketing attribution software that tracks the performance of marketing efforts and connects them to revenue, primarily used for B2B environments.","a.usbrowserspeed.com",[669],{"_79":670,"_405":667,"_406":31,"_174":671},"tuid","This domain is owned by Ookla which provides internet speed testing services through its Speedtest application.",{"_79":742,"_405":520,"_406":31,"_174":743},{"_79":727,"_405":741,"_406":92,"_174":728},{"_79":710,"_405":523,"_406":31,"_174":635},{"_79":710,"_405":623,"_406":31,"_174":635},{"_79":739,"_405":520,"_406":31,"_174":740},{"_79":727,"_405":526,"_406":92,"_174":728},{"_79":737,"_405":520,"_406":31,"_174":738},{"_79":727,"_405":523,"_406":92,"_174":728},{"_79":735,"_405":622,"_406":31,"_174":736},{"_79":727,"_405":644,"_406":92,"_174":728},{"_79":707,"_405":523,"_406":31,"_174":709},{"_79":733,"_405":520,"_406":92,"_174":734},{"_79":731,"_405":520,"_406":31,"_174":732},{"_79":729,"_405":520,"_406":92,"_174":730},{"_79":727,"_405":618,"_406":92,"_174":728},{"_79":725,"_405":520,"_406":31,"_174":726},{"_79":723,"_405":520,"_406":31,"_174":724},{"_79":721,"_405":520,"_406":92,"_174":722},{"_79":719,"_405":627,"_406":31,"_174":720},{"_79":707,"_405":618,"_406":31,"_174":709},{"_79":717,"_405":520,"_406":31,"_174":718},{"_79":715,"_405":520,"_406":92,"_174":716},{"_79":713,"_405":520,"_406":31,"_174":714},{"_79":711,"_405":520,"_406":31,"_174":712},{"_79":710,"_405":520,"_406":31,"_174":635},{"_79":707,"_405":708,"_406":31,"_174":709},{"_79":705,"_405":520,"_406":31,"_174":706},{"_79":703,"_405":520,"_406":92,"_174":704},{"_79":701,"_405":520,"_406":31,"_174":702},"_ga_xxxxxxxxxx","Used by Google Analytics to identify and track an individual session with your device.","s_ppvl","This cookie is set by Adobe Analytics to store information on the percentage of the page displayed to the end user.","coveo_visitorId","This cookie name is associated with Coveo which is used to store a unique user ID for marketing purposes and to track the number of distinct users who submitted a query or clicked an item, counting them only once even if they did the same query or clicked the same item over the course of many visits.","_dd_s","marketplace.nvidia.com","Datadog Cookie used to group all events generated from a unique user session across multiple pages. It contains the current session ID, whether the session is excluded due to sampling, and the expiration date of the session. The cookie is extended for an extra 15 minutes every time the user interacts with the website, up to the maximum user session duration (4 hours).","nvweb_A","_ga","This cookie name is associated with Google Universal Analytics - which is a significant update to Google's more commonly used analytics service. This cookie is used to distinguish unique users by assigning a randomly generated number as a client identifier. It is included in each page request in a site and used to calculate visitor, session and campaign data for the sites analytics reports. By default it is set to expire after 2 years, although this is customisable by website owners.","_uetvid","This is a cookie utilised by Microsoft Bing Ads and is a tracking cookie. It allows us to engage with a user that has previously visited our website.","tp","This cookie is associated with Adobe Analytics site tracking. It registers if the website's scroll-depth detection is active. This function remembers how far the user has scrolled on the current session across the website's sub-pages.","_hly_vid","This cookie _hly_vid is used to record website and server performance with each visit to the site. The data is aggregated and analyzed; therefore, it remains anonymous upon use.","_session_id","This cookie creates an interim session ID used as an in-session user ID.\n","s_cc","This cookie is associated with the Adobe Site Catalyst. It determines whether cookies are enabled in the web browser.","s_ecid","Adobe Analytics cookie containing the the Adobe Experience Cloud 1st party visitor id if the Analytics AMCV visitor id is not found.","_hjSessionUser_xxxxxx","Hotjar cookie that is set when a user first lands on a page with the Hotjar script. It is used to persist the Hotjar User ID, unique to that site on the browser. This ensures that behavior in subsequent visits to the same site will be attributed to the same user ID.","_hjHasCachedUserAttributes","This cookie name is associated with Hotjar which is used to know whether the data set in _hjUserAttributes Local Storage item is up to date or not.","s_ppv","This cookie is associated with Adobe Analytics site tracking and is used to measure a user's scroll activity to see how much of a page they view before moving to another page.","_gid","This cookie name is associated with Google Universal Analytics. This appears to be a new cookie and as of Spring 2017 no information is available from Google. It appears to store and update a unique value for each page visited.","_hjTLDTest","When the Hotjar script executes we try to determine the most generic cookie path we should use, instead of the page hostname. This is done so that cookies can be shared across subdomains (where applicable). To determine this, we try to store the _hjTLDTest cookie for different URL substring alternatives until it fails. After this check, the cookie is removed.","ekfls-2025-03-27","This cookie name is associated with readme.io which is used to help maintain data for the API reference support page.","s_getNewRepeat","This cookie is used to determine whether a visitor is a new visitor or a repeat visitor to the site, and is used for analytical purposes.","_hly_sid","This cookie is likely associated with website analytics, as the prefix '_hly_' suggests a connection to Holistics, a business intelligence and analytics platform.","docs.nvidia.com","_hjSession_xxxxxx","A cookie that holds the current session data. This ensues that subsequent requests within the session window will be attributed to the same Hotjar session.","C0001","Required Cookies","These cookies enable core functionality such as security, network management, and accessibility. These cookies are required for the site to function and cannot be turned off.",[889,890,891,892,893,894,895,896,897,898,899,900,901,902,903,904,905,906,907,908,909,910,911,912,913,914,915,916,917,918,919,920,921,922,923,924,925,926,927,928,929,930,931,932,933,934,935,936,937,938,939,940,941,942,943,944,945,946,947,948,949,950,951,952,953,954,955,956,957,958,959,960,961],[749,750,751,752,753,754,755,756,757,758,759,760,761,762,763,764,765,766,767,768,769,770,771,772,773],{"_399":886,"_252":886,"_174":189,"_373":887},{"_399":880,"_252":880,"_174":189,"_373":881},{"_399":877,"_252":877,"_174":189,"_373":878},{"_399":865,"_252":865,"_174":189,"_373":866},{"_399":862,"_252":862,"_174":189,"_373":863},{"_399":859,"_252":859,"_174":189,"_373":860},{"_399":854,"_252":854,"_174":189,"_373":855},{"_399":461,"_252":461,"_174":189,"_373":851},{"_399":848,"_252":848,"_174":189,"_373":849},{"_399":453,"_252":453,"_174":189,"_373":846},{"_399":448,"_252":448,"_174":189,"_373":844},{"_399":839,"_252":839,"_174":189,"_373":840},{"_399":834,"_252":834,"_174":189,"_373":835},{"_399":829,"_252":829,"_174":189,"_373":830},{"_399":826,"_252":826,"_174":189,"_373":827},{"_399":574,"_252":574,"_174":189,"_373":823},{"_399":433,"_252":433,"_174":189,"_373":820},{"_399":569,"_252":569,"_174":189,"_373":813},{"_399":565,"_252":565,"_174":189,"_373":807},{"_399":801,"_252":801,"_174":189,"_373":802},{"_399":796,"_252":796,"_174":189,"_373":797},{"_399":791,"_252":791,"_174":189,"_373":792},{"_399":787,"_252":787,"_174":189,"_373":788},{"_399":782,"_252":782,"_174":189,"_373":783},{"_399":774,"_252":774,"_174":189,"_373":775},"polyfill.io",[776,777],{"_79":780,"_405":774,"_406":31,"_174":781},{"_79":778,"_405":774,"_406":31,"_174":779},"cf_ob_info","This cookie is associated with sites using CloudFlare. It is used to improve page load times and to override any security restrictions based on the visitors IP address. It does not contain any user identification information.","cf_use_ob","This cookie is associated with sites using CloudFlare. It is used to improve page load times and to override any security restrictions based on the visitors IP address. It does not contain any user identification information. ","www.recaptcha.net",[784],{"_79":785,"_405":782,"_406":31,"_174":786},"_GRECAPTCHA","This domain is used by Google reCAPTCHA, which provides spam protection services to websites by detecting if a user is a human or a bot.","api2.hcaptcha.com",[789],{"_79":790,"_405":787,"_406":31,"_174":442},"__cflb","instagram.com",[793],{"_79":794,"_405":791,"_406":31,"_174":795},"csrftoken","Instagram is a social networking service owned by Facebook, Inc. It's designed for sharing photos and videos from a smartphone. The service also uses cookies for various purposes, including analytics, personalization, and advertising.","readme.io",[798],{"_79":799,"_405":796,"_406":31,"_174":800},"__cf_bm","The __cf_bm cookie is a cookie necessary to support Cloudflare Bot Management, currently in private beta. As part of our bot management service, this cookie helps manage incoming traffic that matches criteria associated with bots.","nvidiacorp.us-5.evergage.com",[803,804],{"_79":806,"_405":801,"_406":31,"_174":442},{"_79":805,"_405":801,"_406":31,"_174":442},"AWSALBTG","AWSALBTGCORS",[808,809],{"_79":811,"_405":565,"_406":31,"_174":812},{"_79":810,"_405":565,"_406":31,"_174":442},"ak_bmsc","bm_mi","This domain is likely associated with NVIDIA's partner program, which could involve marketing, sales, and support services for partners.",[814,815,816],{"_79":819,"_405":569,"_406":31,"_174":442},{"_79":818,"_405":569,"_406":92,"_174":442},{"_79":817,"_405":569,"_406":31,"_174":442},"AWSALBCORS","JSESSIONID","AWSALB",[821],{"_79":799,"_405":433,"_406":31,"_174":822},"This is a CloudFoundry cookie",[824],{"_79":825,"_405":574,"_406":31,"_174":578},"logged_in","hcaptcha.com",[828],{"_79":799,"_405":826,"_406":31,"_174":822},"tracking.intentsify.io",[831],{"_79":832,"_405":829,"_406":31,"_174":833},"userId","Used to track usage of the embedded video player.","static.reo.dev",[836],{"_79":837,"_405":834,"_406":31,"_174":838},"cookietest","Common cookie name could have a number of different origins. Where this is first party and a session cookie, its most likely to do with checking to see if the browser is set to block or allow cookies.","www.datadoghq-browser-agent.com",[841],{"_79":842,"_405":839,"_406":31,"_174":843},"dd_cookie_test_","dd_cookie_test",[845],{"_79":799,"_405":448,"_406":31,"_174":822},[847],{"_79":799,"_405":453,"_406":31,"_174":822},"supabase.co",[850],{"_79":799,"_405":848,"_406":31,"_174":822},[852],{"_79":853,"_405":461,"_406":31,"_174":468},"VISITOR_PRIVACY_METADATA","dosa-prd.azurewebsites.net",[856],{"_79":857,"_405":854,"_406":31,"_174":858},"access_token","This cookie is used to obtain the permissions for users of the portal to allow for API access in order to retrieve information required to perform portal functions.","w.hcaptcha.com",[861],{"_79":799,"_405":859,"_406":31,"_174":822},"cdn.readme.io",[864],{"_79":799,"_405":862,"_406":31,"_174":822},"queue-it.net",[867,868,869,870,871],{"_79":876,"_405":865,"_406":31,"_174":189},{"_79":875,"_405":865,"_406":31,"_174":189},{"_79":874,"_405":865,"_406":31,"_174":189},{"_79":873,"_405":865,"_406":31,"_174":189},{"_79":872,"_405":865,"_406":31,"_174":189},"Queue-it-{queueId}","Queue-it-{dmonvidia }________{eventId}","Queue-it-token","queueitsoftblock_{queueId}","Queue-it-{nvidia}________{eventId}","x.com",[879],{"_79":799,"_405":877,"_406":31,"_174":800},"api.hcaptcha.com",[882,883],{"_79":885,"_405":880,"_406":31,"_174":442},{"_79":790,"_405":880,"_406":31,"_174":884},"This domain is associated with hCaptcha, a service that provides CAPTCHA and reCAPTCHA alternatives for user verification and bot protection.","hmt_id","vimeo.com",[888],{"_79":799,"_405":886,"_406":31,"_174":822},{"_79":1022,"_405":520,"_406":31,"_174":1053},{"_79":1051,"_405":615,"_406":92,"_174":1052},{"_79":1044,"_405":1013,"_406":92,"_174":1045},{"_79":1050,"_405":708,"_406":92,"_174":189},{"_79":1048,"_405":520,"_406":31,"_174":1049},{"_79":806,"_405":1034,"_406":31,"_174":973},{"_79":981,"_405":1043,"_406":92,"_174":983},{"_79":805,"_405":972,"_406":31,"_174":973},{"_79":984,"_405":1043,"_406":31,"_174":985},{"_79":1046,"_405":520,"_406":92,"_174":1047},{"_79":1044,"_405":1020,"_406":92,"_174":1045},{"_79":978,"_405":1043,"_406":31,"_174":980},{"_79":1041,"_405":520,"_406":31,"_174":1042},{"_79":805,"_405":964,"_406":31,"_174":973},{"_79":969,"_405":1040,"_406":31,"_174":971},{"_79":817,"_405":970,"_406":31,"_174":986},{"_79":819,"_405":970,"_406":31,"_174":1037},{"_79":984,"_405":979,"_406":31,"_174":985},{"_79":1038,"_405":618,"_406":31,"_174":1039},{"_79":819,"_405":644,"_406":31,"_174":1037},{"_79":1035,"_405":520,"_406":31,"_174":1036},{"_79":811,"_405":644,"_406":31,"_174":1030},{"_79":1007,"_405":623,"_406":92,"_174":189},{"_79":805,"_405":1034,"_406":31,"_174":973},{"_79":1032,"_405":972,"_406":92,"_174":1033},{"_79":996,"_405":520,"_406":31,"_174":987},{"_79":969,"_405":520,"_406":31,"_174":971},{"_79":1031,"_405":532,"_406":31,"_174":189},{"_79":811,"_405":520,"_406":31,"_174":1030},{"_79":819,"_405":964,"_406":31,"_174":1029},{"_79":1027,"_405":627,"_406":92,"_174":1028},{"_79":1025,"_405":520,"_406":92,"_174":1026},{"_79":1024,"_405":520,"_406":31,"_174":189},{"_79":1022,"_405":970,"_406":31,"_174":1023},{"_79":1021,"_405":532,"_406":31,"_174":189},{"_79":1012,"_405":1020,"_406":92,"_174":1014},{"_79":1018,"_405":623,"_406":31,"_174":1019},{"_79":1016,"_405":708,"_406":31,"_174":1017},{"_79":1015,"_405":526,"_406":31,"_174":189},{"_79":1012,"_405":1013,"_406":92,"_174":1014},{"_79":1010,"_405":979,"_406":92,"_174":1011},{"_79":1008,"_405":520,"_406":31,"_174":1009},{"_79":1007,"_405":523,"_406":92,"_174":189},{"_79":978,"_405":982,"_406":31,"_174":980},{"_79":810,"_405":997,"_406":31,"_174":987},{"_79":1005,"_405":523,"_406":31,"_174":1006},{"_79":1003,"_405":520,"_406":31,"_174":1004},{"_79":1001,"_405":520,"_406":31,"_174":1002},{"_79":1000,"_405":520,"_406":31,"_174":189},{"_79":842,"_405":523,"_406":31,"_174":999},{"_79":996,"_405":644,"_406":31,"_174":987},{"_79":799,"_405":615,"_406":31,"_174":998},{"_79":996,"_405":997,"_406":31,"_174":987},{"_79":995,"_405":532,"_406":31,"_174":189},{"_79":994,"_405":520,"_406":31,"_174":967},{"_79":992,"_405":979,"_406":31,"_174":993},{"_79":805,"_405":990,"_406":31,"_174":991},{"_79":989,"_405":532,"_406":31,"_174":189},{"_79":988,"_405":520,"_406":31,"_174":189},{"_79":981,"_405":979,"_406":92,"_174":983},{"_79":810,"_405":644,"_406":31,"_174":987},{"_79":817,"_405":644,"_406":31,"_174":986},{"_79":984,"_405":982,"_406":31,"_174":985},{"_79":981,"_405":982,"_406":92,"_174":983},{"_79":978,"_405":979,"_406":31,"_174":980},{"_79":976,"_405":972,"_406":92,"_174":977},{"_79":974,"_405":630,"_406":31,"_174":975},{"_79":806,"_405":972,"_406":31,"_174":973},{"_79":969,"_405":970,"_406":31,"_174":971},{"_79":799,"_405":622,"_406":31,"_174":968},{"_79":966,"_405":520,"_406":31,"_174":967},{"_79":817,"_405":964,"_406":31,"_174":965},{"_79":962,"_405":520,"_406":31,"_174":963},"LoginHints","Keeps 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. As part of our bot management service, this cookie helps manage incoming traffic that matches criteria associated with bots.\nThis is a CloudFoundry cookie","OptanonConsent","nvid.nvidia.com","This cookie is set by the cookie compliance solution from OneTrust. It stores information about the categories of cookies the site uses and whether visitors have given or withdrawn consent for the use of each category. This enables site owners to prevent cookies in each category from being set in the users browser, when consent is not given. The cookie has a normal lifespan of one year, so that returning visitors to the site will have their preferences remembered. It contains no information that can identify the site visitor.","events.nvidia.com","This cookie is associated with the Amazon Web Services Elastic Load Balancing functionality for routing client request on the server.Used to attribute commission to affiliates when you arrive at the website from an affiliate referral link. It is set when you click on one of our links and used to let the advertiser and us know the website from which you came.","sessionid","This is a very generic cookie name that may have different purposes on different sites, but generally it will be some kind of anonymous session identifier.","_csrf","This cookie is used to prevent Cross-Site Request Forgery (CSRF) attacks, ensuring that each request made to the server is from the user's browser and is intentional.","LSKey-c$CookieConsentPolicy","enterprise-support.nvidia.com","Used to apply end-user cookie consent preferences set by our client-side utility.Custom- Short Duration. Unique ID of an Enquiry- used to validate access to case, and load exisiting data.\n","renderCtx","academicgrants.nvidia.com","Used to store site parameters in the session for reuse across requests by a single client for functionality and performance reasons.","CookieConsentPolicy","Used to apply end-user cookie consent preferences set by our client-side utility.","This cookie is managed by AWS and is used for load balancing.Used to attribute commission to affiliates when you arrive at the website from an affiliate referral link. It is set when you click on one of our links and used to let the advertiser and us know the website from which you came.","This cookie is associated with Akamai and is used to differentiate between traffic from humans and bots.","nv_co","__uxq412__ses.88c1","learn.learn.nvidia.com","This cookie is associated with the Amazon Web Services Elastic Load Balancing functionality for routing client request on the server.","pctrk","Used to count page views by unauthenticated users against license usage.","bm_s","bpazaws52gukakzc__ctrl0_ctl36_uccaptcha","bm_sv","store.nvidia.com","The __cf_bm cookie is a cookie necessary to support Cloudflare Bot Management, currently in private beta. As part of our bot management service, this cookie helps manage incoming traffic that matches criteria associated with bots.\n","This cookie name is used by DataDog to determine if cookies are supported on the website.dd_cookie_test","AMP_TLDTEST_xxxxxxxx","SESSlsd","This cookie is likely to be a session identifier used to maintain user session state across page requests.","mboxEdgeCluster","This cookie name is associated with Adobe Target which is used to communicate the correct edge cluster to at.js so that Target profiles can stay in sync as users navigate across a site.","_rdt_em","This cookie name is associated with Reddit which is used to manage session state and user interactions.","megaNavCollapsed","_abck","The _abck cookie is associated with Akamai's Bot Manager, which is used to prevent fraud and abuse by safeguarding online interactions and detecting irregularities that could suggest malicious activity, such as bot-driven attacks or hacking attempts.","idccsrf","This cookie name is associated with Salesforce which is used to track CrossSiteRequestForgery validation for certain single sign-on (SSO) flows.","ApplicationGatewayAffinity","partners.nvidia.com","This cookie is used to maintain a user session by the server in a load balanced environment, to ensure the user has a consistent experience.","AMP_TEST_xxxxxxxx","bm_lso","This cookie name is associated with Akamai which is used to load the site as quickly as possible and to recognize bots.","SSESS###########","This cookie is likely to be a session cookie used to maintain an anonymized user session by the server in a secure environment, often seen in sites built with the Drupal content management system.","nvdeveloper.nvidia.com","__uxq412__id.88c1","OptanonAlertBoxClosed","This cookie is set by websites using certain versions of the cookie law compliance solution from OneTrust. It is set after visitors have seen a cookie information notice and in some cases only when they actively close the notice down. It enables the website not to show the message more than once to a user. The cookie has a normal lifespan of one year and contains no personal information.","QueueITAccepted-SDFrts345E-V3_{eventId}","TEST_AMCV_COOKIE_WRITE","This cookie is used to test whether cookies are enabled in the browser. It is a temporary cookie used to determine if the browser accepts cookies.","XSRF-TOKEN","This cookie is written to help with site security in preventing Cross-Site Request Forgery attacks.This cookie helps with site security in preventing Cross-Site Request Forgery attacks.","AWS ELB application load balancer","This cookie is associated with Akamai. It is used to analyse traffic to determine if it is automated traffic generated by bots or a human user.","bpazaws52gukakzc__ctrl0_ctl78_list_ctl09_systemcaptcha","PHPSESSID","PHP session cookie associated with embedded content from this domain.\n","base.manager.learn.nvidia.com","bm_ss","This cookie is used to help protect websites from automated bot traffic.","AWS ELB application load balancerUsed to attribute commission to affiliates when you arrive at the website from an affiliate referral link. It is set when you click on one of our links and used to let the advertiser and us know the website from which you came.","_devzone_session","This cookie is likely used to maintain a user session on the website by the server. It is common for session identifiers to be used to keep users logged in and track their interaction with the site during a session.","docs.ngc.nvidia.com","bm_sz","This cookie is used by Akamai to optimize site performance and security. It is typically associated with the delivery of web content and services.","vcalliance.nvidia.com","ASP.NET_SessionId","General purpose platform session cookie, used by sites written with Microsoft .NET based technologies. Usually used to maintain an anonymised user session by the server.","com.adobe.alloy.getTld","This cookie name is associated with the Adobe WebSDK which is used to determine the top-most domain that can accept cookies.","SESSls","This cookie is likely to be a session identifier, used to maintain a user's session state across page requests.","c_code","BIGipServerx","This cookie name is associated with the BIG-IP product suite from company F5. Usually associated with managing sessions on load balanced servers, to ensure user requests are routed consistently to the correct server. The common root is BIGipServer most commonly followed by a domain name, usually the one that it is hosted on, but not always.","This cookie is set by websites using certain versions of the cookie law compliance solution from OneTrust. It is set after visitors have seen a cookie information notice and in some cases only when they actively close the notice down. It enables the website not to show the message more than once to a user. The cookie has a one year lifespan and contains no personal information.","default","

NVIDIA uses cookies to improve your experience on our web site. We and our third-party partners also use cookies and other tools to collect and record information you provide as well as information about your interactions with our websites for performance improvement, analytics, and to assist in marketing efforts. By clicking \"Accept All\", you consent to our use of cookies and other tools as described in our Cookie Policy. You can manage your cookie settings by clicking on \"Manage Settings.\" By continuing to use this site or by clicking one of the buttons below, you agree to our Terms of Service (which contains important waivers). Please see our Privacy Policy for more information on our privacy practices.

","gpc","

We have detected the Global Privacy Control (GPC) signal and recorded your rejection of all optional cookies on this site for this browser. You can manage your cookie settings by clicking on \"Manage Settings\". Please see our Cookie Policy for more information. To opt out of non-cookie personal information \"sales\" / \"sharing\" for targeted advertising purposes, please visit the NVIDIA Preference Center. Please see our Privacy Policy for more information on our privacy practices.

","gpcLoggedIn","

We have detected the Global Privacy Control Signal (GPC) and have opted you out of all optional cookies on this browser. You can manage your cookie settings by clicking on \"Manage Settings\". Please see our Cookie Policy for more information. We have also opted you out of \"sharing\"/\"sales\" of personal information outside of cookies. You can manage these settings in the NVIDIA NVIDIA Preference Center. Please see our Privacy Policy for more information.

","gpcLoggedInOverridden","

We have detected the Global Privacy Control Signal (GPC) and have opted you out of all optional cookies on this browser. You can manage your cookie settings by clicking on \"Manage Settings\". Please see our Cookie Policy for more information. We have also opted you out of \"sharing\"/\"sales\" of personal information outside of cookies which overrides at least one of your previous settings. You can manage them in the NVIDIA Preference Center. Please see our Privacy Policy for more information.

",{"_744":18,"_647":56,"_555":56,"_377":56,"_367":56},"hasConsented","gpcApplied","showBanner","geolocation",{"_1068":1069,"_1070":1071},"country","US","state","OR","query","categories",[1091,1092,1093,1094,1095],"optionUrls",[1079,1080,1081,1082,1083,1084,1085,1086,1087,1088,1089,1090],"total",12,"/orgs/nim/deepseek-ai/containers/deepseek-r1/-","/orgs/nim/nvidia/containers/llama-3.1-nemotron-70b-instruct/-","/orgs/nvidia/-/containers/pytorch/-","/orgs/nvidia/omniverse/collections/kit/-","/orgs/nvidia/-/collections/deepstream_sdk/-","/orgs/nvidia/omniverse/collections/kit-appstreaming-collection/-","/orgs/nvidia/research/models/stylegan3/-","/orgs/nvidia/tao/models/peoplenet/-","/orgs/nvidia/tao/models/trafficcamnet/-","/orgs/nvidia/riva/resources/riva_quickstart/-","/orgs/nvidia/-/helm-charts/gpu-operator/-","/orgs/nvidia/-/helm-charts/k8s-nim-operator/-",{"_246":1168,"_1097":1169,"_1099":56},{"_246":1133,"_1097":1134,"_1099":59},{"_246":1117,"_1097":1118,"_1099":1119},{"_246":247,"_1097":1110,"_1099":1111},{"_246":1096,"_1097":1098,"_1099":1100},"helm-charts","items",[1101,1102],"startIndex",10,{"_246":1096,"_252":1107,"_168":169,"_170":-7,"_248":1108,"_255":256,"_282":1109,"_1106":1089},{"_246":1096,"_252":1103,"_168":169,"_170":-7,"_248":1104,"_255":256,"_282":1105,"_1106":1090},"NVIDIA NIM Operator","k8s-nim-operator",[],"url","GPU Operator","gpu-operator",[],[1112],9,{"_246":247,"_252":1113,"_168":169,"_170":1114,"_248":1115,"_255":256,"_282":1116,"_1106":1088},"Riva Skills Quick Start","riva","riva_quickstart",[],"models",[1120,1121,1122],6,{"_246":1117,"_252":1129,"_168":169,"_170":1130,"_248":1131,"_255":256,"_282":1132,"_1106":1085},{"_246":1117,"_252":1126,"_168":169,"_170":171,"_248":1127,"_255":256,"_282":1128,"_1106":1086},{"_246":1117,"_252":1123,"_168":169,"_170":171,"_248":1124,"_255":256,"_282":1125,"_1106":1087},"TrafficCamNet","trafficcamnet",[],"PeopleNet","peoplenet",[],"StyleGAN3 pretrained models","research","stylegan3",[],"collections",[1135,1136,1137],{"_246":1133,"_252":1165,"_168":169,"_170":1139,"_248":1166,"_255":256,"_282":1167,"_1106":1082},{"_246":1133,"_252":1162,"_168":169,"_170":-7,"_248":1163,"_255":256,"_282":1164,"_1106":1083},{"_246":1133,"_252":1138,"_168":169,"_170":1139,"_248":1140,"_255":256,"_282":1141,"_1106":1084},"Omniverse Kit App Streaming","omniverse","kit-appstreaming-collection",[1142,1143,1144],{"_79":1156,"_252":1157,"_249":1158,"_260":1159,"_1149":1160},{"_79":1139,"_252":1152,"_249":1153,"_260":1148,"_1149":1154},{"_79":1145,"_252":1146,"_249":1147,"_260":1148,"_1149":1150},"omniverse-dev","NVIDIA Developer Program","Join the Developer Program for access to free tools, support, and tech resources.","https://store-images.s-microsoft.com/image/apps.33936.6f1bcf42-55d0-45d1-b4b6-f08c68a50bbe.e91ca707-db64-49d6-9761-4781590a9685.7ba64fc5-7c44-4864-a5e6-7bde05126935","supportedFeatures",[1151],"UNIFIED_CATALOG","NVIDIA Omniverse","NVIDIA Omniverse is a platform of APIs, services, and software development kits (SDKs) that enable developers to build generative AI-enabled tools and applications.",[1151,1155],"SHAREABLE_TO_USER_GROUPS","nv-ai-enterprise","NVIDIA AI Enterprise","Accelerate your AI agent development","https://assets.ngc.nvidia.com/products/catalog/images/product-NVAIE.jpg",[1151,1155,1161],"NGC_CONSOLE","DeepStream SDK","deepstream_sdk",[],"Omniverse Kit (FB)","kit",[1142,1143,1144],"containers",[1170,1171,1172],{"_246":1168,"_252":1184,"_168":1177,"_170":1185,"_248":1186,"_255":256,"_282":1187,"_1106":1079},{"_246":1168,"_252":1176,"_168":1177,"_170":169,"_248":1178,"_255":256,"_282":1179,"_1106":1080},{"_246":1168,"_252":1173,"_168":169,"_170":-7,"_248":1174,"_255":256,"_282":1175,"_1106":1081},"PyTorch","pytorch",[],"Llama-3.1-Nemotron-70B-Instruct","nim","llama-3.1-nemotron-70b-instruct",[1180,1142],{"_79":1181,"_252":1146,"_249":1147,"_260":1182,"_1149":1183},"nim-dev","https://assets.ngc.nvidia.com/products/catalog/images/product-nim-dev.jpg",[1151],"DeepSeek-R1","deepseek-ai","deepseek-r1",[1180,1142],"ownerOrgs",[],"memberOrgs",[],"externalOrgs",[],"apiKey","2b44f86fea50e90ffd2db29ee2028419","consentGranted","applicationId","4c857e4f-5ffa-45fa-b75e-af773c22f0ad","clientToken","pubb6927db33dae60ba5031a186cde0242a","site","datadoghq.com","service","catalog-ui","env","sessionSampleRate",100,"sessionReplaySampleRate","compressIntakeRequests","storeContextsAcrossPages","defaultPrivacyLevel","mask-user-input","trackViewsManually","trackingConsent","not-granted",{"_1217":1218,"_1219":315,"_1220":31,"_1221":1222,"_1097":1223,"_1224":1225,"_1226":1218,"_1227":31,"_1228":31,"_1229":31,"_1230":1231},"appName","ngc-catalog","appOrigin","hideOnPrivateOrg","icon","ObjectsModules2",[1232,1233,1234,1235,1236,1237,1238],"menuIcon","editor-swatches","productName","requiresAllScopes","requiresLogin","requiresOrgLevelScopesOnly","title","Catalog",{"_1230":1260,"_47":1261,"_1224":1262},{"_1253":1254,"_1230":1255,"_47":1256,"_1226":1156},{"_1230":1251,"_47":1252,"_1224":1225},{"_1230":1248,"_47":1249,"_1224":1250},{"_1230":1245,"_47":1246,"_1224":1247},{"_1230":1242,"_47":1243,"_1224":1244},{"_1230":1239,"_47":1240,"_1224":1241},"Resources","/resources","misc-library","Models","/models","misc-neural-network","Helm Charts","/helm-charts","misc-ship-wheel","Containers","/containers","3d-cube","Collections","/collections","access",[1257],"Enterprise Catalog","/enterprise",[1258,1259],"NVAIE","READ","Explore Catalog","/","common-home",{"_118":119,"_120":121,"_122":123,"_124":125,"_126":127,"_128":129},{"_117":31}]

Name	Size	Updated	Actions
Readme.txt	1.13 KB	May 26, 2022 UTC	curl wget Download
tao-converter	110.42 KB	May 26, 2022 UTC	curl wget Download