Admin Operations | Elastic GPU Services

📄️ Manage Projects

During installation a default project workspace called avesha is created. A single project namespace can be

This topic describes how to see the inventory of the clusters' each GPU node and the application status.

In a single-cluster or multi-cluster deployment, the installation script automates the registration of the worker cluster with the EGS Controller.

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This topic describes managing GPU request (GPR) templates. As an admin you can create, update, clone, view, and

This topic describes how to view, create, and manage GPU Requests (GPRs) in a project.

The dashboard page provides admins an aggregated live view of all GPU related information at a glance.

You can monitor the AI workloads for all workspaces (slice workspaces) in your project.

An Inference Endpoint is a hosted service to perform inference tasks such as

This topic describes how to explore the cost of GPU nodes on your clusters using the KubeTally feature

This topic describes the steps to generate an API token that enables a user to securely access their assigned workspace.