Overview

Introduction

The overview page of the AI computing platform displays all instances, storage space, computing resource status in resource groups, recent task status, and other information in the current platform, allowing users to quickly view or access various resources and training tasks on the current platform.

Prerequisites

• The management console account and password have been obtained.
• Various resources, instances, or tasks have been created in the platform.

Procedure

1. Log in to the management console.
2. In the top navigation bar, click Products and Services > AI Computing Platform > AI Computing Platform to go to its overview page.

Page Information Description:

• Container Instances: Displays the total number of container instances in the current platform, the number of container instances in operation, and the usage of system disks and data disks of computing resources in container instances. For details on how to create a container instance, refer to Creating a Container Instance.
• File Storage: Displays basic information about the total capacity, used capacity, and available capacity of parallel file storage in the current platform.
• Quick Access Container Instances: Displays the container instances that can be quickly accessed in the current platform. Users can log in directly to the JupyterLab page of the corresponding instance through quick connection.
• My Resource Groups: Displays the number of resource groups created in the current platform, the number of computing nodes in all resource groups, and the number of GPU cards. For information on creating resource groups, refer to Creating Resource Groups.
• Recent Tasks: Displays the name/ID, status, framework/image, creation time, start time, update time, running time, and related operations of the most recent training task in the current platform.

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