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TAO Toolkit API - Helm Chart

TAO Toolkit API is a Kubernetes service that enables building end-to-end AI models using custom datasets. In addition to exposing TAO Toolkit functionality through APIs, the service also enables a client to build end-to-end workflows - creating datasets, models, obtaining pretrained models from NGC, obtaining default specs, training, evaluating, optimizing and exporting models for deployment on edge. It can be easily installed on a Kubernetes cluster (local / AWS EKS) using a Helm chart along with minimal dependencies. TAO toolkit jobs can be run using GPUs available on the cluster and can scale to a multi-node setting.

\nTAO Toolkit API overview

One can develop client applications on top of the provided API, such as a Web-UI application, or use the provided TAO remote client CLI.

The API allows users to create datasets and upload their data to the service. Users then create models and can create experiments by linking models to train, eval and inference datasets. Actions such as train, evaluate, prune, retrain, export and inference can be spawned through simple API calls. For each action, the user can obtain default specs using a HTTP GET and POST the spec they prefer for that action. The specs are in the JSON format. Another unique feature of the Service is the ability to chain jobs. For example, a user can run train and evaluate using a single API call. This abstracts away complex directory manipulations and dependency checks. The service exposes a Job API which allows a user to cancel, download and monitor jobs. Job APIs also provide useful information such as epoch number, accuracy, loss values and ETA information. Further, the service demarcates different users inside a cluster and can protect read-write access.

\nTAO Toolkit Workflow

The TAO remote client is an easy to use Command line interface that uses API calls to expose an interface similar to TAO Launcher CLI.

The API service can run on any Kubernetes platform. The two platforms officially supported are AWS EKS and Bare-Metal.

This instance contains an easy to deploy helm chart for TAO Toolkit APIs.

Setting up the TAO Toolkit API

\n
Follow the instructions mentioned in the TAO Toolkit API documentation to setup a bare-metal kubernetes instance or an AWS EKS instance
\n
\n
Once you have setup the kubernetes instance, you may deploy the TAO Toolkit API by following the instructions in this section.
\n

You may update the values.yaml of the chart before deployment.

image is the location of the TAO Toolkit API container image
host, tlsSecret, corsOrigin and authClientID are for future ingress rules assuring security and privacy
ngcImagePullSecretName is the secret name that you setup to access Nvidia's nvcr.io registry
imagePullPolicy is set to Always fetch from nvcr.io instead of using locally cached image
storageClassName is the storage class created by your K8s Storage Provisioner. On bare-metal deployment it is nfs-client, and on AWS EKS can be standard. Not providing a value would make your deployment use your K8s cluster's default storage class
storageAccessMode is set to ReadWriteMany to reuse allocated storage between deployemnts, or ReadWriteOnce to create a new storage at every deployement
storageSize is ignored by many Storage Provisioners. But here would be where to set your shared storage size
backend is the platform used for training jobs. Defaults to local-k8s
numGpu is the number of GPU assigned to each job. Note that multi-node training is not yet supported, so one would be limited to the number of GPUs within a cluster node for now

helm install tao-api chart/ --set ngc_api_key={your_ngc_personal_key} --namespace default \n

You can validate your deployment. Check for the Ready or Completed states.

\n
Note: You can replace tao-api with your preferred release name. However, please ensure that your chosen name does not exceed 11 characters, as there is limitation on kubernetes resource names which we use release name to construct.
\n

kubectl get pods -n default\n

You can debug your deployment. Look for events toward the bottom.

kubectl describe pods tao-toolkit-api -n default\n

Common issues are:

GPU Operator or Storage Provisioner pods not in Ready or Completed states
Missing or invalid imagepullsecret

License

TAO Toolkit getting Started\nLicense for TAO containers is included within the container at workspace/EULA.pdf. License for the pre-trained models are available with the model files. By pulling and using the Train Adapt Optimize (TAO) Toolkit container to download models, you accept the terms and conditions of these licenses.

Technical blogs

Read the 2 part blog on training and optimizing 2D body pose estimation model with TAO - Part 1 | Part 2
Learn how to train real-time License plate detection and recognition app with TAO and DeepStream.
Model accuracy is extremely important, learn how you can achieve state of the art accuracy for classification and object detection models using TAO
Learn how to train Instance segmentation model using MaskRCNN with TAO
Learn how to improve INT8 accuracy using Quantization aware training(QAT) with TAO
Read the technical tutorial on how PeopleNet model can be trained with custom data using Transfer Learning Toolkit
Learn how to train and deploy real-time intelligent video analytics apps and services using DeepStream SDK

Ethical AI

NVIDIA’s platforms and application frameworks enable developers to build a wide array of AI applications. Consider potential algorithmic bias when choosing or creating the models being deployed. Work with the model’s developer to ensure that it meets the requirements for the relevant industry and use case; that the necessary instruction and documentation are provided to understand error rates, confidence intervals, and results; and that the model is being used under the conditions and in the manner intended.

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\n**TAO Toolkit API overview**
\n\nOne can develop client applications on top of the provided API, such as a Web-UI application, or use the provided TAO remote client CLI.\n\nThe API allows users to create datasets and upload their data to the service. Users then create models and can create experiments by linking models to train, eval and inference datasets. Actions such as train, evaluate, prune, retrain, export and inference can be spawned through simple API calls. For each action, the user can obtain default specs using a HTTP GET and POST the spec they prefer for that action. The specs are in the JSON format. Another unique feature of the Service is the ability to chain jobs. For example, a user can run train and evaluate using a single API call. This abstracts away complex directory manipulations and dependency checks. The service exposes a Job API which allows a user to cancel, download and monitor jobs. Job APIs also provide useful information such as epoch number, accuracy, loss values and ETA information. Further, the service demarcates different users inside a cluster and can protect read-write access.\n\n

\n**TAO Toolkit Workflow**
\n\nThe TAO remote client is an easy to use Command line interface that uses API calls to expose an interface similar to TAO Launcher CLI.\n\nThe API service can run on any Kubernetes platform. The two platforms officially supported are AWS EKS and Bare-Metal.\n\nThis instance contains an easy to deploy helm chart for TAO Toolkit APIs.\n## Setting up the TAO Toolkit API\n\n1. Follow the instructions mentioned in the [TAO Toolkit API documentation](https://docs.nvidia.com/tao/tao-toolkit/text/tao_toolkit_api/api_setup.html) to setup a bare-metal kubernetes instance or an AWS EKS instance\n\n2. Once you have setup the kubernetes instance, you may deploy the TAO Toolkit API by following the instructions in this [section](https://docs.nvidia.com/tao/tao-toolkit/text/tao_toolkit_api/api_deployment.html).\n\nYou may update the ``values.yaml`` of the chart before deployment.\n\n* ``image`` is the location of the TAO Toolkit API container image\n* ``host``, ``tlsSecret``, ``corsOrigin`` and ``authClientID`` are for future ingress rules assuring security and privacy\n* ``ngcImagePullSecretName`` is the secret name that you setup to access Nvidia's nvcr.io registry\n* ``imagePullPolicy`` is set to Always fetch from nvcr.io instead of using locally cached image\n* ``storageClassName`` is the storage class created by your K8s Storage Provisioner. On bare-metal deployment it is nfs-client, and on AWS EKS can be standard. Not providing a value would make your deployment use your K8s cluster's default storage class\n* ``storageAccessMode`` is set to ReadWriteMany to reuse allocated storage between deployemnts, or ReadWriteOnce to create a new storage at every deployement\n* ``storageSize`` is ignored by many Storage Provisioners. But here would be where to set your shared storage size\n* ``backend`` is the platform used for training jobs. Defaults to local-k8s\n* ``numGpu`` is the number of GPU assigned to each job. Note that multi-node training is not yet supported, so one would be limited to the number of GPUs within a cluster node for now\n\n```sh\nhelm install tao-api chart/ --set ngc_api_key={your_ngc_personal_key} --namespace default \n```\n\nYou can validate your deployment. Check for the Ready or Completed states.\n\n> **Note:** You can replace `tao-api` with your preferred release name. However, please ensure that your chosen name does not exceed 11 characters, as there is limitation on kubernetes resource names which we use release name to construct.\n\n\n```sh\nkubectl get pods -n default\n```\n\nYou can debug your deployment. Look for events toward the bottom.\n\n```sh\nkubectl describe pods tao-toolkit-api -n default\n```\n\nCommon issues are:\n\n* GPU Operator or Storage Provisioner pods not in Ready or Completed states\n* Missing or invalid imagepullsecret\n\n## License \n[TAO Toolkit getting Started](https://docs.nvidia.com/tao/tao-toolkit/text/tao_toolkit_quick_start_guide.html)\nLicense for TAO containers is included within the container at `workspace/EULA.pdf`. License for the pre-trained models are available with the model files. By pulling and using the Train Adapt Optimize (TAO) Toolkit container to download models, you accept the terms and conditions of these [licenses](https://developer.nvidia.com/tao-toolkit-software-license-agreement).\n\n## Technical blogs \n\n* Read the 2 part blog on training and optimizing 2D body pose estimation model with TAO - [Part 1](https://developer.nvidia.com/blog/training-optimizing-2d-pose-estimation-model-with-tao-toolkit-part-1) | [Part 2](https://developer.nvidia.com/blog/training-optimizing-2d-pose-estimation-model-with-tao-toolkit-part-2)\n* Learn how to train [real-time License plate detection and recognition app](https://developer.nvidia.com/blog/creating-a-real-time-license-plate-detection-and-recognition-app) with TAO and DeepStream. \n* Model accuracy is extremely important, learn how you can achieve [state of the art accuracy for classification and object detection models](https://developer.nvidia.com/blog/preparing-state-of-the-art-models-for-classification-and-object-detection-with-tao-toolkit/) using TAO\n* Learn how to train [Instance segmentation model using MaskRCNN with TAO](https://developer.nvidia.com/blog/training-instance-segmentation-models-using-maskrcnn-on-tao-toolkit/)\n* Learn how to improve INT8 accuracy using [Quantization aware training(QAT) with TAO](https://developer.nvidia.com/blog/improving-int8-accuracy-using-quantization-aware-training-and-tao-toolkit/)\n* Read the technical tutorial on how [PeopleNet model can be trained with custom data using Transfer Learning Toolkit](https://devblogs.nvidia.com/training-custom-pretrained-models-using-tlt/)\n* Learn how to [train and deploy real-time intelligent video analytics apps and services using DeepStream SDK](https://devblogs.nvidia.com/building-iva-apps-using-deepstream-5.0/)\n\n## Suggested reading \n\n* More information on about TAO Toolkit and pre-trained models can be found at the [NVIDIA Developer Zone](https://developer.nvidia.com/tao-toolkit)\n* Read the [TAO getting Started](https://docs.nvidia.com/tao/tao-toolkit/text/tao_toolkit_quick_start_guide.html) guide and [release notes](https://docs.nvidia.com/tao/tao-toolkit/text/release_notes.html).\n* If you have any questions or feedback, please refer to the discussions on [TAO Toolkit Developer Forums](https://forums.developer.nvidia.com/c/accelerated-computing/intelligent-video-analytics/tao-toolkit/17)\n* Deploy your model on the edge using DeepStream. Learn more about [DeepStream SDK](https://developer.nvidia.com/deepstream-sdk)\n\n## Ethical AI \n\nNVIDIA’s platforms and application frameworks enable developers to build a wide array of AI applications. Consider potential algorithmic bias when choosing or creating the models being deployed. 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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.

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For more information about our privacy practices, please see our Privacy Policy.","mainText","Cookie Settings","alertNoticeText",{"_1076":1077,"_1078":1079,"_1080":1081,"_1082":1083},"bannerAcceptLabel","Accept All","bannerRejectLabel","Reject Optional","bannerSettingsLabel","Manage Settings","preferenceSaveLabel","Save Choices","preferenceRejectLabel","Decline All","alwaysActiveText","Always Active","groups",[381,382,383,384,385],{"_386":766,"_79":767,"_169":768,"_390":87,"_391":16,"_393":769,"_395":770},{"_386":669,"_79":670,"_169":671,"_390":31,"_391":59,"_393":672,"_395":673},{"_386":577,"_79":578,"_169":579,"_390":31,"_391":54,"_393":580,"_395":581},{"_386":397,"_79":398,"_169":399,"_390":31,"_391":400,"_393":401,"_395":402},{"_386":387,"_79":388,"_169":389,"_390":31,"_391":392,"_393":394,"_395":396},"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.",5,[519,520,521,522,523,524,525,526,527,528,529,530,531,532,533,534,535,536,537,538,539,540],[403,404,405,406,407,408,409,410,411,412,413,414,415,416,417,418,419],{"_420":514,"_247":514,"_169":422,"_393":515},{"_420":510,"_247":510,"_169":422,"_393":511},{"_420":505,"_247":505,"_169":422,"_393":506},{"_420":501,"_247":501,"_169":422,"_393":502},{"_420":496,"_247":496,"_169":422,"_393":497},{"_420":491,"_247":491,"_169":422,"_393":492},{"_420":483,"_247":483,"_169":422,"_393":484},{"_420":475,"_247":475,"_169":422,"_393":476},{"_420":470,"_247":470,"_169":422,"_393":471},{"_420":465,"_247":465,"_169":422,"_393":466},{"_420":460,"_247":460,"_169":422,"_393":461},{"_420":455,"_247":455,"_169":422,"_393":456},{"_420":450,"_247":450,"_169":422,"_393":451},{"_420":443,"_247":443,"_169":422,"_393":444},{"_420":438,"_247":438,"_169":422,"_393":439},{"_420":431,"_247":431,"_169":422,"_393":432},{"_420":421,"_247":421,"_169":422,"_393":423},"hostName","amazon-adsystem.com","",[424,425],{"_79":430,"_427":421,"_428":31,"_169":429},{"_79":426,"_427":421,"_428":31,"_169":429},"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",[433,434],{"_79":437,"_427":431,"_428":31,"_169":436},{"_79":435,"_427":431,"_428":31,"_169":436},"IDE","This domain is owned by Doubleclick (Google). 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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",[472],{"_79":473,"_427":470,"_428":31,"_169":474},"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",[477,478],{"_79":481,"_427":475,"_428":31,"_169":482},{"_79":479,"_427":475,"_428":31,"_169":480},"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",[485,486],{"_79":489,"_427":483,"_428":31,"_169":490},{"_79":487,"_427":483,"_428":31,"_169":488},"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",[493],{"_79":494,"_427":491,"_428":31,"_169":495},"demdex","This cookie helps Adobe Audience Manger perform basic functions such as visitor identification, ID synchronization, segmentation, modeling, reporting, etc.","im-apps.net",[498],{"_79":499,"_427":496,"_428":31,"_169":500},"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",[503],{"_79":504,"_427":501,"_428":31,"_169":464},"R","6sc.co",[507],{"_79":508,"_427":505,"_428":31,"_169":509},"6suuid","This domain is associated with the company 6Sense Insights, Inc., which provides predictive analytics and account engagement services. 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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. 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.",[611,612,613,614,615,616,617,618,619,620,621,622,623,624,625,626,627,628,629,630,631,632,633,634,635],[582,583,584,585,586],{"_420":496,"_247":496,"_169":422,"_393":606},{"_420":470,"_247":470,"_169":422,"_393":601},{"_420":596,"_247":596,"_169":422,"_393":597},{"_420":591,"_247":591,"_169":422,"_393":592},{"_420":587,"_247":587,"_169":422,"_393":588},"nvidia.partners",[589],{"_79":590,"_427":587,"_428":31,"_169":464},"edge","app.hushly.com",[593],{"_79":594,"_427":591,"_428":31,"_169":595},"*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",[598],{"_79":599,"_427":596,"_428":31,"_169":600},"_octo","This domain is owned by Github. 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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.",[694,695,696,697,698,699,700,701,702,703,704,705,706,707,708,709,710,711,712,713,714,715,716,717,718,719,720,721,722],[674,675,676,677],{"_420":689,"_247":689,"_169":422,"_393":690},{"_420":684,"_247":684,"_169":422,"_393":685},{"_420":483,"_247":483,"_169":422,"_393":681},{"_420":596,"_247":596,"_169":422,"_393":678},[679],{"_79":680,"_427":596,"_428":87,"_169":600},"_gh_sess",[682],{"_79":683,"_427":483,"_428":87,"_169":490},"YSC","bizible.com",[686],{"_79":687,"_427":684,"_428":31,"_169":688},"_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",[691],{"_79":692,"_427":689,"_428":31,"_169":693},"tuid","This domain is owned by Ookla which provides internet speed testing services through its Speedtest application.",{"_79":764,"_427":542,"_428":31,"_169":765},{"_79":749,"_427":763,"_428":87,"_169":750},{"_79":732,"_427":545,"_428":31,"_169":657},{"_79":732,"_427":645,"_428":31,"_169":657},{"_79":761,"_427":542,"_428":31,"_169":762},{"_79":749,"_427":548,"_428":87,"_169":750},{"_79":759,"_427":542,"_428":31,"_169":760},{"_79":749,"_427":545,"_428":87,"_169":750},{"_79":757,"_427":644,"_428":31,"_169":758},{"_79":749,"_427":666,"_428":87,"_169":750},{"_79":729,"_427":545,"_428":31,"_169":731},{"_79":755,"_427":542,"_428":87,"_169":756},{"_79":753,"_427":542,"_428":31,"_169":754},{"_79":751,"_427":542,"_428":87,"_169":752},{"_79":749,"_427":640,"_428":87,"_169":750},{"_79":747,"_427":542,"_428":31,"_169":748},{"_79":745,"_427":542,"_428":31,"_169":746},{"_79":743,"_427":542,"_428":87,"_169":744},{"_79":741,"_427":649,"_428":31,"_169":742},{"_79":729,"_427":640,"_428":31,"_169":731},{"_79":739,"_427":542,"_428":31,"_169":740},{"_79":737,"_427":542,"_428":87,"_169":738},{"_79":735,"_427":542,"_428":31,"_169":736},{"_79":733,"_427":542,"_428":31,"_169":734},{"_79":732,"_427":542,"_428":31,"_169":657},{"_79":729,"_427":730,"_428":31,"_169":731},{"_79":727,"_427":542,"_428":31,"_169":728},{"_79":725,"_427":542,"_428":87,"_169":726},{"_79":723,"_427":542,"_428":31,"_169":724},"_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. 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