General Settings

The General settings section in the Admin panel provides centralized controls for enabling or disabling key platform features. These settings allow administrators to tailor the behavior of the NVIDIA Run:ai environment based on organizational policies, user needs, and workload types.

Analytics

Setting	Description
CPU analytics	Enable the CPU analytics dashboard for better visibility of CPU intensive workloads. For more information, see the CPU dashboard guide
Consumption Beta	Enable the consumption dashboard to view consumption by segment. For more information, see the Consumption dashboard guide
GPU profiling metrics	Enable advanced GPU device-level metrics on the Nodes table. Contact NVIDIA Run:ai support to configure the NVIDIA exporter and NVIDIA Run:ai cluster
Dashboard performance optimization	Improve dashboard performance with enhanced queries

Resources

Setting	Description
Limit projects from exceeding department quota	Enable to prevent projects’ total quota from exceeding the department’s quota or being less than the total usage by non-preemptible workloads. For more information, see the NVIDIA Run:ai Scheduler guide.
CPU quota	Enable resource quota based on CPU resources. For more information, see the Departments guide and the Projects guide.
Over quota weight	Enable over quota weight to set what proportion of unused resources a project can get on top of its quota. For more information, see the Over quota weight guide.
GPU resource optimization Beta	Enable to set a GPU memory limit for workloads. To enable this on each NVIDIA Run:ai cluster, see the Dynamic GPU fractions guide.

Workloads

Setting	Description
Policies	Enable to impose restrictions and default values on workloads' fields. For more information, see the Policies guide
Hugging face models	Enable instant deployment of Hugging Face models via the Models view or the workload submission form. For more information, see the Deploy inference workloads from Hugging Face.
NIM models	Enable instant deployment of NIM models via the workload submission form. For more information, see the Deploy inference workloads with NVIDIA NIM.
Flexible workload submission	Enable to submit workloads via the new flexible form. Allow selecting an existing setup or starting from scratch, reviewing existing setups and understanding policy definitions. The form also includes advanced features tailored for inference workloads. For more information, see Flexible submission.
Flexible workload templates	Enable to create workload templates via the new flexible form. For more information, see the Workload Templates guide.
Data volumes	Enable to allow creation of data volumes to share underlying data across scopes. For more information, see the Data volumes guide.
NGC public registry Beta	Enable to browse and select container images from the NVIDIA NGC public registry for faster environment setup.

Security

Setting	Description
Identity provider	Anyone given access to the NVIDIA Run:ai application via the identity provider system will be able to join the platform and authenticate using SSO. See Single Sign-On (SSO) guide.
Set logout redirect URL	Users will be redirected to this URL after logging out from NVIDIA Run:ai
Set timeout session	Upon session timeout, users will be logged out automatically.

Notifications

Setting	Description
Email notifications	Set the email server through which the email notifications will be sent
Slack notifications	Authorize and connect your Slack workspace to NVIDIA Run:ai
System notification	Write a message that will be displayed to all users

For more details, see Notifications.

Cluster Authentication

To allow users to securely submit workloads using kubectl, you must configure the Kubernetes API server to authenticate users via the NVIDIA Run:ai identity provider. This is done by adding OpenID Connect (OIDC) flags to the Kubernetes API server configuration on each cluster. See Cluster authentication for more details.

Branding

Upload the logo you want displayed in the top-right corner of the NVIDIA Run:ai platform interface. Logos can be uploaded in SVG or PNG format (up to 128 KB).

To display a custom logo in the platform interface:

1. Cick + LOGO.

2. In the upload window, click the upload icon and select your logo file

3. Click SAVE

You can update or remove it at any time by clicking the edit or remove icons.