[{"_1":2,"_3":-5,"_4":-5},"loaderData",{"_5":6,"_7":8,"_9":10,"_11":12},"actionData","errors","root",{"_67":244,"_245":246,"_247":248,"_249":250,"_251":252,"_253":26,"_254":255,"_256":257,"_258":26,"_259":26,"_260":26,"_261":26,"_262":263,"_264":-5,"_265":266,"_267":268,"_269":270,"_271":94,"_272":96,"_273":274,"_88":-5,"_275":26,"_276":-5,"_277":278,"_279":280,"_117":281,"_282":283,"_284":285,"_286":287,"_288":289,"_290":26,"_21":22,"_23":291,"_25":26,"_27":292,"_29":293,"_31":294},"routes/orgs/$orgName/$teamName/$resourceType/$resourceId/$version/route",{"_103":104,"_17":105,"_106":107,"_108":109,"_110":26,"_111":112,"_113":26,"_114":26,"_115":116,"_117":14,"_118":14,"_119":-5,"_120":-5,"_121":-5,"_122":123,"_124":-5,"_125":126,"_127":128,"_129":26,"_130":26,"_131":132,"_21":22,"_23":133,"_25":26,"_27":134,"_29":135,"_31":136},"routes/orgs/$orgName/$teamName/$resourceType/$resourceId/$version/_access/route",{"_64":65,"_66":-5,"_67":68,"_69":70,"_21":22,"_23":71,"_25":26,"_27":72,"_29":73,"_31":74},"routes/orgs/$orgName/$teamName/$resourceType/$resourceId/$version/release-notes/route",{"_13":14,"_15":16,"_17":18,"_19":20,"_21":22,"_23":24,"_25":26,"_27":28,"_29":30,"_31":32},"versionId","0.7.3-2102.2","releaseNotes","# 0.7.3-2102.2\n\nInitial release.","html","

0.7.3-2102.2

Initial release.

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Clara Deploy SDK is being consolidated into Clara Holoscan SDK

More info https://catalog.ngc.nvidia.com/orgs/nvidia/teams/clara/collections/claradeploy

Clara Ansible Installation Scripts

1. Install Ansible

To install Ansible follow the link Installing Ansible.

Note: This playbook requires Ansible 2.9 or higher, which can be installed via system package manager such as apt or via Python's package manager pip.

2. Installing Clara

2.1 A note on the NVIDIA Driver

It is assumed the host system has a working NVIDIA driver prior to installing Clara. If your host does not have the NVIDIA driver, you can install the correct version for this version of clara via the playbooks/driver.yml file. To install the driver using Ansible, see section 2.2

2.2 NVIDIA Driver installation via Ansible

The recommended version of the NVIDIA driver for this version of Clara is specified in the playbooks/driver.yml. If you already have this driver, skip this step and continue to the Clara installation section below.

Note: It is recommended to only install the NVIDIA driver via Ansible if you do not already have an NVIDIA driver present. Once the driver is instaled or uninstalled using Ansible you will be prompted to reboot the machine. If you are installing Clara locally, Ansible will not force a reboot and you will need to run the reboot command manually. It is required to reboot the system after installation to ensure successful installation of Clara.

Before running the driver installation playbook, edit the playbooks/driver.yml file and ensure the name of the system user that Ansible should login as is set.

To install the driver locally, run:

ansible-playbook -K driver.yml \n

To install the driver on remote hosts, change the value of hosts to all in /playbooks/clara.yml, set the IP address(es) of the remote machine(s) in /playbooks/clara_hosts then run the following command:

ansible-playbook -K driver.yml -i clara_hosts\n

2.3 Uninstalling NVIDIA Driver via ansible

Note: Due to multiple driver installation methods, do not attempt to run the driver uninstall playbook if the driver was not instaled by Ansible.

Before running the driver installation playbook, edit the playbooks/driver.yml file and ensure the name of the system user that Ansible should login as is set.

To uninstall the driver locally, run:

ansible-playbook -K driver.yml -e 'execute=uninstall'\n

To uninstall the driver on remote hosts, change the value of hosts to all in /playbooks/clara.yml, set the IP address(es) of the remote machine(s) in /playbooks/clara_hosts then run the following command:

ansible-playbook -K driver.yml -e 'execute=uninstall' -i clara_hosts\n

2.3 Installing Clara locally

To run the playbooks locally (on the same system with Ansible), first, edit playbooks/clara.yml and set the following values:

clara_user - Set this to the non-root user of the machine
ngc_api_key - If you do not already have an NGC account/key see this page to get started

Once the values are set, cd into the /playbooks directory and run:

ansible-playbook -K clara.yml\n

Note: Editable values can be configured in the clara.yml file (eg. ngc_org: ea-nvidia-clara for early access users, additional Clara components, Kubernetes networking settings)

2.3 Installing Clara on remote hosts

2.3.1 Setting SSH Connectivity

Ansible works on remote machines over SSH connection. To install Clara onto remote machines, create a local SSH key and make sure it is copied to all remote hosts in which you aim to install Clara on.

For example, you can generate a key locally, then copy it to the remote target host using the folowing two commands:

# ssh-keygen\n# ssh-copy-id -i ~/.ssh/mykey user@targethost\n

2.3.2 Run install playbook

To run the playbooks onto one or more remote hosts from your local machine, first, add the IP address(es) of the remote machine(s) in the file playbooks/clara_hosts. Then edit playbooks/clara.yml and set the following values:

hosts - Set this to all
clara_user - Set this to the non-root user of the machine
ngc_api_key - If you do not already have an NGC account/key see this page to get started

Once the values are set, cd into the /playbooks directory and run:\nansible-playbook -K clara.yml

Note: Editable values can be configured in the clara.yml file (eg. ngc_org: ea-nvidia-clara for early access users, additional Clara components, Kubernetes networking settings)

3 Uninstalling Clara

To uninstall Clara locally, run:

ansible-playbook -K clara.yml -e 'execute=uninstall' \n

To uninstall Clara on remote hosts, run:

ansible-playbook -K clara.yml -e 'execute=uninstall' -i clara_hosts\n

This will prompt to remove:

.clara data directory
Helm
Kubernetes & Kubernetes Binaries
NVIDIA Docker
Docker

Tasks

The Clara Ansible playbook will:

Install NVIDIA Driver (optional)
Install Docker CE
Install NVIDIA Docker 2 (optional)
Turn Swap space off
Install OpenShift Python libraries to enable the k8s Ansible module
Install and Kubernetes
Install Helm3
Install Clara CLI Binaries and Components
Pull Clara Components from NGC (requires NGC API key)
Start Clara

Assumptions

The playbook is designed for Ubuntu on the x86_64 architecture, however, the user may update or enhance the playbooks to fit their target systems.

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Install Ansible In Control Node\n\nTo install ansible in the control node follow the link [Installing Ansible](https://docs.ansible.com/ansible/0.7.3-2102.2/installation_guide/intro_installation.html).\n**Note:** This playbook requires Ansible 2.9 or higher.\n\n### 2. Configuring Remote Hosts\n\n#### 2.1 Setting Up Hosts/Groups\n\nThe file `playbooks/clara_hosts` includes an inventory file, with variables which are shared amongst all hosts. You can run the included hosts file by passing `-i clara_hosts` or update `/etc/ansible/hosts` with the included variables and list of preferred hosts on which you want to perform the Clara installations. The playbooks assume that there is a group name `clara_hosts` each with a user `nvidia`, you may choose to change these entries in the playbooks. (See [https://docs.ansible.com/ansible/latest/user_guide/intro_inventory.html](https://docs.ansible.com/ansible/latest/user_guide/intro_inventory.html)).\n\n#### 2.2 Setting SSH Connectivity\n\nCreate a local ssh key and share place it in all the hosts in which you aim to perform the deployment.\n\nFor example, you can generate a key and copy it using the folowing:\n```\n# ssh-keygen\n# ssh-copy-id -i ~/.ssh/mykey user@host\n```\n\n## 3. Installation Options\n\n### 3.1 Installing NVIDIA Drivers\n\nTo install NVIDIA Drivers\n```\nansible-playbook -K install-nvidia-driver.yml -i clara_hosts\n```\nAt the prompt enter the `sudo` password for the host machine. At the end of the installation the target host(s) will be restarted for the changes to take effect.\n\nYou may override the default Nvidia driver version under `roles/nvidia-driver/defaults/main.yml` using the `-e` command line option as\n```\nansible-playbook -K install-nvidia-driver.yml -e 'nvidia_driver=nvidia-driver-XXX' -i clara_hosts\n```\nwhere `XXX` is your preferred version.\n\n\n### 3.2 Installing Clara Prerequisites\n\nTo install Clara prerequisites run\n```\nansible-playbook -K install-clara-prereqs.yml -i clara_hosts\n```\n\n#### Assuptions\n\n* It is assumed that before the Clara prerequisites playbook is run, a compatible version of the NVIDIA drivers exists in all remote machines affected.\n* The playbook is designed for Ubuntu an the `x86_64` architecture, however, the user may update or enhance the script to fit their target systems.\n\n#### Tasks\n\nThe prerequisites installation script will:\n* install Docker CE\n* install NVIDIA Docker 2\n* turn Swap space off\n* install OpenShift Python libraries to enable the `k8s` Ansible module\n* install Kubernetes (`kubeadm`, `kubectl`, `kubelet`)\n* install Helm\n\n### 3.3 Installing Clara Components\n\nTo install basic Clara components run\n```\nansible-playbook -K install-clara.yml -i clara_hosts\n```\n\nClara components available for insallation:\n- `platform`:\n- `dicom`:\n- `monitor`:\n- `console`:\n- `render`\n\nBy default only `platform` and `dicom` are installed, however, the user may override the default variable `clara_components` as\n```\nansible-playbook -K install-clara.yml -i clara_hosts -e 'clara_components=[\"platform\", \"dicom\", \"render\"]'\n```\nor by updating the default value of `clara_components` in `ansible/playbooks/roles/clara-components/default/main.yml`.","UPLOAD_COMPLETE","releaseType","createdDate",["D",1613081399183],"updatedDate","totalSizeInBytes",29238,"totalFileCount",1,"isSigned","digest","malwareScanStatus","isScanned","hasReleaseNotes","setup","","hasSetup","quickStartGuide","# Quick Start\n\n1. Download the 0.7.3-2102.2 package and save it as `ansible.zip`.\n2. Unzip `ansible.zip`:\n\n ``` bash\n unzip ansible.zip -d ansible\n ```\n\n3. Perform installation tasks as required by following instructions in the \"Overview\" section","hasQuickStartGuide","advanced","hasAdvanced","performance","hasPerformance","policies",[],{"_180":187,"_181":188,"_151":-5,"_159":26,"_162":26,"_174":186,"_163":65},{"_180":185,"_181":185,"_151":-5,"_159":26,"_162":26,"_174":186,"_163":65},{"_180":183,"_181":183,"_151":-5,"_159":26,"_162":26,"_174":184,"_163":65},{"_180":14,"_181":14,"_151":-5,"_159":26,"_162":26,"_174":182,"_163":65},"id","name",[],"0.7.4-2103.2",[],"0.8.1-2108.1",[],"-","Latest (0.8.1-2108.1)","nvidia/clara/clara_ansible","key","nvidia/clara/resources/clara_ansible","resourceId","clara_ansible","shortDescription","The Clara Ansible installation package allows you to setup one or many systems with all dependencies required to run Clara Platform SDK","# Clara Deploy SDK is being consolidated into Clara Holoscan SDK\n\t\nMore info https://catalog.ngc.nvidia.com/orgs/nvidia/teams/clara/collections/claradeploy\n\t\n\n## Clara Ansible Installation Scripts\n\n### 1. Install Ansible\n\nTo install Ansible follow the link [Installing Ansible](https://docs.ansible.com/ansible/latest/installation_guide/intro_installation.html).\n\n**Note:** This playbook requires Ansible 2.9 or higher, which can be installed via system package manager such as apt or via Python's package manager pip.\n\n### 2. Installing Clara\n\n#### 2.1 A note on the NVIDIA Driver\nIt is assumed the host system has a working NVIDIA driver prior to installing Clara. If your host does not have the NVIDIA driver, you can install the correct version for this version of clara via the `playbooks/driver.yml` file. To install the driver using Ansible, see section 2.2\n\n\n#### 2.2 NVIDIA Driver installation via Ansible\n\nThe recommended version of the NVIDIA driver for this version of Clara is specified in the `playbooks/driver.yml`. If you already have this driver, skip this step and continue to the Clara installation section below.\n\n**Note:** It is recommended to only install the NVIDIA driver via Ansible if you do not already have an NVIDIA driver present. Once the driver is instaled or uninstalled using Ansible you will be prompted to reboot the machine. If you are installing Clara locally, Ansible will not force a reboot and you will need to run the reboot command manually. It is required to reboot the system after installation to ensure successful installation of Clara.\n\nBefore running the driver installation playbook, edit the `playbooks/driver.yml` file and ensure the name of the system user that Ansible should login as is set. \n\nTo install the driver locally, run:\n```\nansible-playbook -K driver.yml \n```\n\nTo install the driver on remote hosts, change the value of `hosts` to `all` in `/playbooks/clara.yml`, set the IP address(es) of the remote machine(s) in `/playbooks/clara_hosts` then run the following command:\n```\nansible-playbook -K driver.yml -i clara_hosts\n```\n\n#### 2.3 Uninstalling NVIDIA Driver via ansible\n\n**Note:** Due to multiple driver installation methods, do not attempt to run the driver uninstall playbook if the driver was not instaled by Ansible.\n\nBefore running the driver installation playbook, edit the `playbooks/driver.yml` file and ensure the name of the system user that Ansible should login as is set. \n\nTo uninstall the driver locally, run:\n```\nansible-playbook -K driver.yml -e 'execute=uninstall'\n```\n\nTo uninstall the driver on remote hosts, change the value of `hosts` to `all` in `/playbooks/clara.yml`, set the IP address(es) of the remote machine(s) in `/playbooks/clara_hosts` then run the following command:\n```\nansible-playbook -K driver.yml -e 'execute=uninstall' -i clara_hosts\n```\n\n\n#### 2.3 Installing Clara locally\n\nTo run the playbooks locally (on the same system with Ansible), first, edit `playbooks/clara.yml` and set the following values:\n\n- `clara_user` - Set this to the non-root user of the machine\n- `ngc_api_key` - If you do not already have an NGC account/key see [this page](https://docs.nvidia.com/ngc/ngc-overview/index.html#registering-activating-ngc-account) to get started\n\nOnce the values are set, `cd` into the `/playbooks` directory and run:\n```bash\nansible-playbook -K clara.yml\n```\n\n**Note:** Editable values can be configured in the `clara.yml` file (eg. `ngc_org: ea-nvidia-clara` for early access users, additional Clara components, Kubernetes networking settings)\n\n#### 2.3 Installing Clara on remote hosts\n\n##### 2.3.1 Setting SSH Connectivity\n\nAnsible works on remote machines over SSH connection. To install Clara onto remote machines, create a local SSH key and make sure it is copied to all remote hosts in which you aim to install Clara on.\n\nFor example, you can generate a key locally, then copy it to the remote target host using the folowing two commands:\n```\n# ssh-keygen\n# ssh-copy-id -i ~/.ssh/mykey user@targethost\n```\n\n#### 2.3.2 Run install playbook\nTo run the playbooks onto one or more remote hosts from your local machine, first, add the IP address(es) of the remote machine(s) in the file `playbooks/clara_hosts`. Then edit `playbooks/clara.yml` and set the following values:\n\n- `hosts` - Set this to `all`\n- `clara_user` - Set this to the non-root user of the machine\n- `ngc_api_key` - If you do not already have an NGC account/key see [this page](https://docs.nvidia.com/ngc/ngc-overview/index.html#registering-activating-ngc-account) to get started\n\nOnce the values are set, `cd` into the `/playbooks` directory and run:\n`ansible-playbook -K clara.yml`\n\n**Note:** Editable values can be configured in the `clara.yml` file (eg. `ngc_org: ea-nvidia-clara` for early access users, additional Clara components, Kubernetes networking settings)\n\n### 3 Uninstalling Clara\n\nTo uninstall Clara locally, run: \n```\nansible-playbook -K clara.yml -e 'execute=uninstall' \n```\n\nTo uninstall Clara on remote hosts, run: \n```\nansible-playbook -K clara.yml -e 'execute=uninstall' -i clara_hosts\n```\n\nThis will prompt to remove:\n- `.clara` data directory\n- Helm\n- Kubernetes & Kubernetes Binaries\n- NVIDIA Docker\n- Docker\n\n#### Tasks\n\nThe Clara Ansible playbook will:\n* Install NVIDIA Driver (optional)\n* Install Docker CE\n* Install NVIDIA Docker 2 (optional)\n* Turn Swap space off\n* Install OpenShift Python libraries to enable the `k8s` Ansible module\n* Install and Kubernetes\n* Install Helm3\n* Install Clara CLI Binaries and Components\n* Pull Clara Components from [NGC](https://docs.nvidia.com/ngc/ngc-overview/index.html) (requires NGC API key)\n* Start Clara\n\n#### Assumptions\n\n* The playbook is designed for Ubuntu on the `x86_64` architecture, however, the user may update or enhance the playbooks to fit their target systems.","displayName","Clara Deploy Ansible Installation [Deprecated]",["D",1680632452069],"publisher","NVIDIA","latestVersion","versions","collectionCounts","imageUrl","/api/image/nvidia/clara/resources/clara_ansible","rawImageUrl","https://assets.nvidiagrid.net/ngc/logos/Clara.png","canGuestDownload","latestVersionSizeInBytes",39753,"licenseTerms","isMultinodeEnabled","isMultiArchitecture","bias","explainability","privacy","safetyAndSecurity","featureLabels",[],"displayLabels",[231,232],"policyLabels",[],"systemLabels",[],"products",[],"hasNimMetadata","computedResourceType",{"_197":242,"_234":242,"_236":243,"_238":239},{"_197":233,"_234":235,"_236":237,"_238":239},"Healthcare","value","indus_healthcare","filter",{"_240":241,"_234":235},"category","label","field","industry","Clara Deploy",{"_240":239,"_234":242},{"_86":1377,"_88":1378},"ngcApps",[1330],"csaApiBaseUrl","https://www.nvidia.com/ai-agents/csa-agent/dcsm","datadogRum",{"_1311":1312,"_1313":1314,"_1315":1316,"_1317":1318,"_1319":255,"_117":281,"_1320":1321,"_1322":50,"_1323":65,"_1324":65,"_1325":1326,"_1327":65,"_1328":1329},"amplitude",{"_1308":1309,"_915":-7,"_1310":26},"disableJs","environment","prod","featureFlagsBlob","JTdCJTIydGVzdEZsYWclMjIlM0FmYWxzZSUyQyUyMnNob3dTZWFyY2hMYWJlbFNldEZpbHRlcnMlMjIlM0FmYWxzZSUyQyUyMmVuYWJsZUNzYVdpZGdldCUyMiUzQWZhbHNlJTJDJTIyZW5hYmxlUHJvZHVjdEdyb3VwaW5nQnlTdWJzY3JpcHRpb24lMjIlM0FmYWxzZSUyQyUyMmNvbnRhaW5lclNjYW5uaW5nUmVkZXNpZ25NMiUyMiUzQWZhbHNlJTdE","featureFlagsGuarded","isDevLikeEnv","isPlaywright","isMobileDevice","categorizedOrgs",{"_1302":1303,"_1304":1305,"_1306":1307},"currentOrgContext","currentContextRoles",[],"enterpriseOrgs",[],"manageableExternalUserGroups",[],"ngcApiOrigin","ngcHelmOrigin","origin","https://catalog.ngc.nvidia.com","usesMocks","theme","year",2026,"now",1792533990246,"1.24.0","defaultSearchSuggestions",{"_1185":165,"_1186":1187,"_1188":1189,"_1190":1191},"announcements",[],"consentState",{"_319":1175,"_1176":26,"_1177":26,"_1178":65,"_1179":1180},"consentConfig",{"_301":302,"_303":304,"_305":306,"_307":308,"_309":310,"_311":312,"_313":314,"_315":316,"_317":318,"_319":320},"showContactAdmin",1792533990247,[],[],[295,296,297,298,299,300],{"_39":54,"_41":62,"_43":81,"_45":-5,"_47":-5,"_49":50},{"_39":54,"_41":60,"_43":81,"_45":-5,"_47":-5,"_49":50},{"_39":54,"_41":59,"_43":81,"_45":-5,"_47":-5,"_49":50},{"_39":54,"_41":55,"_43":81,"_45":-5,"_47":-5,"_49":50},{"_39":51,"_41":52,"_43":81,"_45":-5,"_47":-5,"_49":50},{"_39":40,"_41":42,"_43":81,"_45":-5,"_47":-5,"_49":50},"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.

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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.",[465,466,467,468,469,470,471,472,473,474,475,476,477,478,479,480,481,482,483,484,485,486,487,488,489,490,491,492,493,494,495,496,497,498,499,500,501,502],[342,343,344,345,346,347,348,349,350,351,352,353,354,355,356,357,358,359],{"_360":460,"_197":460,"_148":165,"_333":461},{"_360":456,"_197":456,"_148":165,"_333":457},{"_360":451,"_197":451,"_148":165,"_333":452},{"_360":447,"_197":447,"_148":165,"_333":448},{"_360":442,"_197":442,"_148":165,"_333":443},{"_360":437,"_197":437,"_148":165,"_333":438},{"_360":430,"_197":430,"_148":165,"_333":431},{"_360":422,"_197":422,"_148":165,"_333":423},{"_360":417,"_197":417,"_148":165,"_333":418},{"_360":412,"_197":412,"_148":165,"_333":413},{"_360":404,"_197":404,"_148":165,"_333":405},{"_360":399,"_197":399,"_148":165,"_333":400},{"_360":394,"_197":394,"_148":165,"_333":395},{"_360":389,"_197":389,"_148":165,"_333":390},{"_360":382,"_197":382,"_148":165,"_333":383},{"_360":377,"_197":377,"_148":165,"_333":378},{"_360":370,"_197":370,"_148":165,"_333":371},{"_360":361,"_197":361,"_148":165,"_333":362},"hostName","amazon-adsystem.com",[363,364],{"_181":369,"_366":361,"_367":26,"_148":368},{"_181":365,"_366":361,"_367":26,"_148":368},"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",[372,373],{"_181":376,"_366":370,"_367":26,"_148":375},{"_181":374,"_366":370,"_367":26,"_148":375},"IDE","This domain is owned by Doubleclick (Google). 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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",[439],{"_181":440,"_366":437,"_367":26,"_148":441},"demdex","This cookie helps Adobe Audience Manger perform basic functions such as visitor identification, ID synchronization, segmentation, modeling, reporting, etc.","im-apps.net",[444],{"_181":445,"_366":442,"_367":26,"_148":446},"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",[449],{"_181":450,"_366":447,"_367":26,"_148":403},"R","6sc.co",[453],{"_181":454,"_366":451,"_367":26,"_148":455},"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.","_zitok","marketplace.nvidia.com","This cookie name is associated with ZoomInfo which is used to maintain a unique visitor identifier and store Personally Identifiable Information.","_gat_gtag_UA_140825383_2","Google Analytics","_gat_gtag_UA_162631457_1","_gat_gtag_UA_53775284_8","forums.developer.nvidia.com","_rdt_uuid","This cookie is set by Reddit and is used for tracking the views of embedded videos and performance of the advertisements.","_gat_gtag_UA_146100304_1","catalog.ngc.nvidia.com","aws-waf-token","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.","_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. ","ai-podcast.nvidia.com","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","research.nvidia.com","_twpid","_gat_gtag_UA_141699104_1","_gat_gtag_UA_53775284_6","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.",[590,591,592,593,594,595,596,597,598,599,600,601,602,603,604,605,606,607,608,609,610,611,612,613,614,615,616,617,618,619,620],[556,557,558,559,560,561],{"_360":442,"_197":442,"_148":165,"_333":585},{"_360":417,"_197":417,"_148":165,"_333":580},{"_360":575,"_197":575,"_148":165,"_333":576},{"_360":570,"_197":570,"_148":165,"_333":571},{"_360":566,"_197":566,"_148":165,"_333":567},{"_360":562,"_197":562,"_148":165,"_333":563},"nvcrm.my.site.com",[564],{"_181":565,"_366":562,"_367":26,"_148":165},"BrowserId","nvidia.partners",[568],{"_181":569,"_366":566,"_367":26,"_148":403},"edge","app.hushly.com",[572],{"_181":573,"_366":570,"_367":26,"_148":574},"*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",[577],{"_181":578,"_366":575,"_367":26,"_148":579},"_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","__ngc_ui_apps","nvidianews.nvidia.com","docs.api.nvidia.com","readme_library","wcmmode","_im_id.1006927","_im_ses.1006927","geo_locator","la.blogs.nvidia.com","_semaJ2rWcw","This cookie is categorized as Functionality Cookie.","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","crowdsource.nvidia.com","__ngc_ui","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. 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