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/0.8.1-2108.1/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. Configuring Remote Hosts\n\n#### 2.1 Setting Up Hosts/Groups for installing Clara on remote hosts\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`. If you have an existing Ansible hosts file, update `/etc/ansible/hosts` with the included variables and list of preferred hosts on which you want to perform the Clara installation. The playbooks assume that there is a group name `clara_hosts`, however, all variables are configurable within 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\n#### 2.2 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. You can skip this step if running Ansible on the same machine.\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 Setting Up Hosts/Groups for installing Clara locally\n\nTo run the playbooks locally, within the `playbooks/clara_hosts`, instead of passing the IP address of a remote system, uncomment the line `localhost ansible_connection=local`. For example: `ansible-playbook -K install-clara.yml`\n\n\n## 3. Installing Clara\n\n### 3.1 NVIDIA Driver information\n\n**Note:** The `driver.yml` is included to install the recommended version of the NVIDIA driver matching the current release of Clara. 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, Ansible will ask if you want to reboot the machine, this step recommended to ensure that the driver is operational. If you are running this playbook on the same machine which the driver is to be installed, the playbook will quit at the final step (reboot). Once this is complete, please reboot your machine manually before proceeding to install Clara.\n\nBefore running the `driver.yml` playbook, edit the `driver.yml` file and add the name of the user on the machine that Ansible should login as. This presumes the steps outlined in section 2 are completed first.\n\nYou may override the default Nvidia driver version under `roles/nvidia-driver/defaults/main.yml` using the `-e` command line option eg:\n```\nansible-playbook -K driver.yml -e 'nvidia_driver_version=XXX' -i clara_hosts\n```\nwhere `XXX` is your preferred version (eg. 460).\n\n\nTo uninstall the driver, run \n```\nansible-playbook -K driver.yml -e 'execute=uninstall' -i clara_hosts\n```\n\n### 3.2 Installing Clara Components\n\nTo install basic Clara components run the following command:\n\n```\nansible-playbook -K clara.yml -i clara_hosts\n```\n\nClara components available for installation:\n- `platform`:\n- `dicom`:\n- `console`:\n- `render`\n\nThe default Clara components are `platform` and `dicom`. This can be modified in the `clara_components` variable within `ansible/playbooks/clara_hosts` file.\n\n#### Tasks\n\nThe Clara Ansible playbook will:\n* Install NVIDIA Driver (optional)\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 and start Kubernetes (`kubeadm`, `kubectl`, `kubelet`)\n* Install Helm\n* Install Clara CLI Binaries and Components\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.\n\n### 3.3 Uninstalling Clara\n\nTo uninstall Clara, 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- NVIDIA Driver (optional)",["D",1629920066449],"totalSizeInBytes","digest","malwareScanStatus","releaseNotes","# 0.8.1-2108.1","hasReleaseNotes","setup","","hasSetup","quickStartGuide","# Quick Start\n\n1. 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Perform installation tasks as required by following instructions in the \"Overview\" section","hasQuickStartGuide","advanced","hasAdvanced","performance","hasPerformance",[],{"_85":133,"_115":250,"_116":-5,"_124":35,"_123":35,"_125":249,"_231":90},{"_85":29,"_115":29,"_116":-5,"_124":35,"_123":35,"_125":249,"_231":90},{"_85":135,"_115":135,"_116":-5,"_124":35,"_123":35,"_125":248,"_231":90},{"_85":114,"_115":114,"_116":-5,"_124":35,"_123":35,"_125":247,"_231":90},[],[],[],"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","collectionCounts","imageUrl","/api/image/nvidia/clara/resources/clara_ansible","rawImageUrl","https://assets.nvidiagrid.net/ngc/logos/Clara.png","canGuestDownload","latestVersionSizeInBytes","licenseTerms","isMultinodeEnabled","isMultiArchitecture","bias","explainability","privacy","safetyAndSecurity","featureLabels",[],"displayLabels",[291,292],"policyLabels",[],"systemLabels",[],"products",[],"hasNimMetadata","computedResourceType",{"_259":301,"_294":301,"_296":302,"_298":87},{"_259":293,"_294":295,"_296":297,"_298":87},"Healthcare","value","indus_healthcare","filter",{"_299":300,"_294":295},"category","field","industry","Clara Deploy",{"_299":87,"_294":301},{"_163":1436,"_165":1437},"ngcApps",[1389],"csaApiBaseUrl","https://www.nvidia.com/ai-agents/csa-agent/dcsm","datadogRum",{"_1370":1371,"_1372":1373,"_1374":1375,"_1376":1377,"_1378":314,"_109":340,"_1379":1380,"_1381":60,"_1382":90,"_1383":90,"_1384":1385,"_1386":90,"_1387":1388},"amplitude",{"_1367":1368,"_975":-7,"_1369":35},"disableJs","environment","prod","featureFlagsBlob","JTdCJTIydGVzdEZsYWclMjIlM0FmYWxzZSUyQyUyMnNob3dTZWFyY2hMYWJlbFNldEZpbHRlcnMlMjIlM0FmYWxzZSUyQyUyMmVuYWJsZUNzYVdpZGdldCUyMiUzQWZhbHNlJTJDJTIyY29udGFpbmVyU2Nhbm5pbmdSZWRlc2lnbk0yJTIyJTNBdHJ1ZSU3RA==","featureFlagsGuarded","isDevLikeEnv","isPlaywright","isMobileDevice","categorizedOrgs",{"_1361":1362,"_1363":1364,"_1365":1366},"currentOrgContext","currentContextRoles",[],"enterpriseOrgs",[],"manageableExternalUserGroups",[],"ngcApiOrigin","ngcHelmOrigin","origin","https://catalog.ngc.nvidia.com","usesMocks","theme","year",2026,"now",1794313661025,"1.30.0","defaultSearchSuggestions",{"_1245":233,"_1246":1247,"_1248":1249,"_1250":1251},"announcements",[],"consentState",{"_377":1235,"_1236":35,"_1237":35,"_1238":90,"_1239":1240},"consentConfig",{"_359":360,"_361":362,"_363":364,"_365":366,"_367":368,"_369":370,"_371":372,"_373":374,"_375":376,"_377":378},"showContactAdmin",[],[],[353,354,355,356,357,358],{"_49":63,"_51":73,"_53":158,"_55":-5,"_57":-5,"_59":60},{"_49":63,"_51":70,"_53":158,"_55":-5,"_57":-5,"_59":60},{"_49":63,"_51":68,"_53":158,"_55":-5,"_57":-5,"_59":60},{"_49":63,"_51":64,"_53":158,"_55":-5,"_57":-5,"_59":60},{"_49":61,"_51":62,"_53":158,"_55":-5,"_57":-5,"_59":60},{"_49":50,"_51":52,"_53":158,"_55":-5,"_57":-5,"_59":60},"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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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. 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users logged in across NVIDIA domains.","api.ngc.nvidia.com","This cookie is managed by AWS and is used for load balancing.","bm_so","This cookie name is used to load the site as quickly as possible and to recognize bots using Akamai.","OptanonAlertBoxClosed","docs.ngc.nvidia.com","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.","This cookie is associated with Akamai and is used to differentiate between traffic from humans and bots.","omniverse.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.\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.","_rdt_em","This cookie name is associated with Reddit which is used to manage session state and user interactions.","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. 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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.","nvidiaCart","This domain is owned by NVIDIA Corporation which provides information about the company, its products, solutions, industries, news, events, and career opportunities.","nv_co","__uxq412__ses.88c1","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.","learn.learn.nvidia.com","pctrk","Used to count page views by unauthenticated users against license usage.","bm_s","This cookie is associated with Akamai. 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	Files	Compressed Size
0.8.1-2108.1Selected	1	38.82 KB	August 25, 2021 UTC
0.7.4-2103.2	1	29.22 KB	May 17, 2021 UTC
0.7.3-2102.2	1	28.55 KB	February 11, 2021 UTC