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13
docs/deploying_clearml/enterprise_deploy/agent_k8s.md
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@ -6,15 +6,16 @@ The ClearML Agent enables scheduling and executing distributed experiments on a
## Prerequisites ## Prerequisites
- The ClearML Enterprise server is up and running. - A ClearML Enterprise server is up and running.
- Generate a set of `<ACCESS_KEY>` and `<SECRET_KEY>` credentials in the ClearML Server. The easiest way is via - Generate a set of `<ACCESS_KEY>` and `<SECRET_KEY>` credentials in the ClearML Server. The easiest way is via
the ClearML UI (**Settings > Workspace > App Credentials > Create new credentials**). the ClearML UI (**Settings > Workspace > API Credentials > Create new credentials**). For more information, see [ClearML API Credentials](../../webapp/settings/webapp_settings_profile.md#clearml-api-credentials).
:::note :::note
Make sure these credentials belong to an admin user or a service user with admin privileges. Make sure these credentials belong to an admin user or a service user with admin privileges.
::: :::
- The worker environment must be able to access the ClearML Server over the same network. - The worker environment must be able to access the ClearML Server over the same network.
- * Helm token to access `clearml-enterprise` helm-chart repo
## Installation ## Installation
@ -37,7 +38,7 @@ Create a `clearml-agent-values.override.yaml` file with the following content:
:::note :::note
Replace the `<ACCESS_KEY>` and `<SECRET_KEY>` with the admin credentials Replace the `<ACCESS_KEY>` and `<SECRET_KEY>` with the admin credentials
you created earlier. Set `<api|file|web>ServerUrlReference` to the relevant URLs of your ClearML you created earlier. Set `<api|file|web>ServerUrlReference` to the relevant URLs of your ClearML
control-plane installation. Server installation.
::: :::
```yaml ```yaml
@ -75,9 +76,9 @@ helm show readme clearml-enterprise/clearml-enterprise-agent
helm show values clearml-enterprise/clearml-enterprise-agent helm show values clearml-enterprise/clearml-enterprise-agent
``` ```
### Report GPUs to the Dashboard ### Set GPU Availability in Orchestration Dashboard
To show GPU availability in the dashboard, explicitly set the number of GPUs: To show GPU availability in the [Orchestration Dashboard](../../webapp/webapp_orchestration_dash.md), explicitly set the number of GPUs:
```yaml ```yaml
agentk8sglue: agentk8sglue:
@ -87,7 +88,7 @@ agentk8sglue:
### Queues ### Queues
The ClearML Agent on Kubernetes monitors ClearML queues and pulls tasks that are scheduled for execution. The ClearML Agent monitors ClearML queues and pulls tasks that are scheduled for execution.
A single agent can monitor multiple queues. By default, the queues share a base pod template (`agentk8sglue.basePodTemplate`) A single agent can monitor multiple queues. By default, the queues share a base pod template (`agentk8sglue.basePodTemplate`)
used when submitting a task to Kubernetes after it has been extracted from the queue. used when submitting a task to Kubernetes after it has been extracted from the queue.

2
docs/deploying_clearml/enterprise_deploy/extra_configs/presign_service.md
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@ -7,7 +7,7 @@ users, enabling direct access to cloud-hosted data (e.g., S3) without exposing c
## Prerequisites ## Prerequisites
- The ClearML Enterprise server is up and running. - A ClearML Enterprise server is up and running.
- Generate `<ACCESS_KEY>` and `<SECRET_KEY>` credentials in the ClearML Server. The easiest way is via the ClearML UI - Generate `<ACCESS_KEY>` and `<SECRET_KEY>` credentials in the ClearML Server. The easiest way is via the ClearML UI
(**Settings > Workspace > App Credentials > Create new credentials**). (**Settings > Workspace > App Credentials > Create new credentials**).