---
title: "ML expert Platform overview"
slug: "ai-mlxp-overview"
updated: 2026-09-17T09:38:20Z
published: 2026-09-17T09:38:20Z
canonical: "guide.ncloud-docs.com/ai-mlxp-overview"
stale: true
---

> ## Documentation Index
> Fetch the complete documentation index at: https://guide.ncloud-docs.com/llms.txt
> Use this file to discover all available pages before exploring further.

# ML expert Platform overview

Available in VPC

ML expert Platform provides efficient and reliable services across the entire AI/ML service workflow, from data management and processing to large-scale distributed training, as well as serving and deployment for models ranging from small models to ultra-large AI models.

## ML expert Platform user guide

Use this guide to get the most out of ML expert Platform.

- [ML expert Platform overview](/docs/en/ai-mlxp-overview): Learn about the service and find helpful resources.
- [ML expert Platform prerequisites](/docs/en/ai-mlxp-spec): View supported specifications and pricing information.
- [ML expert Platform Concepts](/docs/en/ai-mlxp-info): Key concepts to help you understand how to use the platform.
- [ML expert Platform quickstart:](/docs/en/ai-mlxp-procedure): Follow a step-by-step guide through the entire process.
- [Get started](/docs/en/ai-mlxp-start): Learn how to manage subscriptions.
- Using ML expert Platform
  - [Workspace](/docs/en/ai-mlxp-ncpworkspace): Workspace interface guide.
  - ML expert Platform Workspace
    - [Workspace Home interface](/docs/en/ai-mlxp-screen): Description of the Workspace Home interface.
    - [Dashboard](/docs/en/ai-mlxp-dashboard): Learn about Workspace members and projects, and how to create and delete API keys.
    - [Member Settings](/docs/en/ai-mlxp-membermngt): Learn how to add and remove Workspace members.
    - [GPU Resources](/docs/en/ai-mlxp-gpuresource): Learn how to view GPU resources allocated to the Workspace and assign them to projects.
    - [Data Manager](/docs/en/ai-mlxp-datamanager):  Learn how to view the dataset list and dataset details within the Workspace.
  - Project
    - Project home interface
      - [Overview](/docs/en/ai-mlxp-pscreen): Learn how to view recent task history and download kubeconfig.
      - [Members](/docs/en/ai-mlxp-pmembermngt): Learn how to add and remove project members.
    - [Volumes](/docs/en/ai-mlxp-pvolumes): Learn how to create or delete a volume and view its details.
    - [Notebooks](/docs/en/ai-mlxp-pnotebooks): Learn how to create or delete a JupyterLab Notebook and view its details.
    - [Tensorboards](/docs/en/ai-mlxp-ptensorboards): Learn how to create or delete a Tensorboard and view its details.
    - [Model Registry](/docs/en/ai-mlxp-pmodelregistry): Learn how to view the model list and model details.
    - Pipelines interface
      - [Pipelines preparations](/docs/en/ai-mlxp-ppipelines-start): Learn how to prepare to use the Pipelines feature.
      - [Pipelines](/docs/en/ai-mlxp-ppipelines): Learn how to create or delete a pipeline and view its details.
      - [Experiments](/docs/en/ai-mlxp-pexperiments): Learn how to create or delete an experiment and view its details.
      - [Runs](/docs/en/ai-mlxp-pruns): Learn how to create or delete a run and view its details.
      - [Rucurring Runs](/docs/en/ai-mlxp-precurringruns): Learn how to create or delete a recurring run and view its details.
    - [Monitoring](/docs/en/ai-mlxp-pmonitoring): Learn how to view the monitoring dashboard.
    - [Train models using kubectl](/docs/en/ai-mlxp-pkubectlstudy): Learn how to train models using kubectl.
    - [Manage Secret using kubectl](/docs/en/ai-mlxp-pkubectlsecret): Learn how to manage Secrets using kubectl.
- [ML expert Platform permission management](/docs/en/ai-mlxp-subaccount): Manage accounts using NAVER Cloud Platform's Sub Account.
- ML expert Platform troubleshooting
  - [Troubleshoot security setting issues](/docs/en/ai-mlxp-troubleshoot-security): Troubleshoot security setting issues with ML expert Platform.
- [ML expert Platform release notes](/docs/en/ai-mlxp-releasenote): See documentation updates.

## ML expert Platform related resources

Whether you’re considering ML expert Platform or need in-depth information for development, planning, and other purposes, these resources can help:

- [Ncloud user environment guide](/docs/en/environment-environment-1-1): Guide to VPC and Classic environments and support details.
- [Contact Support](https://www.ncloud.com/support/question/service): Get help if you can't find what you need in the user guide.
- [Sub Account user guide](/docs/en/subaccount-overview): Manage team access for ML expert Platform.