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AI Add-On Management

Last updated: 2022-10-12 11:37:14

    Overview

    After creating an AI environment, you can combine AI add-ons as needed to set up an AI platform. This document describes how to add, delete, modify, and query AI add-ons.

    Note:

    The underlying layer of AI add-ons is implemented based on Helm Chart. After you create an AI environment, we recommend you not manage AI add-ons on the relevant page in the application marketplace. Instead, directly manage them in the AI environment, so as to avoid data inconsistency.

    List of AI Add-Ons

    Add-On Use Case Description
    TF Operator Model training After installing it, you can run TF standalone/distributed training jobs.
    MPI Operator Elastic training You can run elastic training jobs to fully utilize the computing resources.
    Fluid Cache acceleration Fluid provides data prefetch and acceleration for cloud applications by using a distributed cache engine (GooseFS/Alluxio) with data observability, portability, and horizontal scalability.
    Elastic Jupyter Operator Algorithm debugging Elastic Jupyter Operator provides an on-demand elastic Jupyter Notebook service to assign computing resources as needed.

    AI Add-On Lifecycle Management

    Creating an AI add-on

    1. Log in to the TKE console and click Cloud Native AI on the left sidebar.
    2. On the AI Environment list page, click the ID of the target AI environment to enter its Basic Information page.
    3. On the left sidebar, click Add-On Management.
    4. Click Create to enter the Create AI Add-On page and set the parameters.
      The main parameters are described as follows:
      • Add-On Name: Custom add-on name.
      • Namespace: The namespace for installing the add-on.
      • Chart: The installation package of the add-on. Only one add-on can be installed at a time.
      • Parameter: Add-on configuration parameters. After the add-on is created, you can still update its parameters as instructed in "Updating an AI add-on".
    5. Click Done.

    Viewing an AI add-on

    After creating an AI environment, you can view the list of installed AI add-ons in the AI environment.

    Deleting an AI add-on

    1. Select the ID of an AI environment to enter its Basic Information page.
    2. On the left sidebar, click Add-On Management.
    3. Select Delete on the right of the target add-on.
    4. In the Delete Add-On pop-up window, read the notes on deletion and click Confirm.

    Updating an AI add-on

    1. Select the ID of an AI environment to enter its Basic Information page.
    2. On the left sidebar, click Add-On Management.
    3. Select Update configuration on the right of the target add-on.
    4. On the Update Add-On pop-up page, configure add-on parameters as needed and click Done.
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