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: Learn about the service and find helpful resources.
- ML expert Platform prerequisites: View supported specifications and pricing information.
- ML expert Platform Concepts: Key concepts to help you understand how to use the platform.
- ML expert Platform quickstart:: Follow a step-by-step guide through the entire process.
- Get started: Learn how to manage subscriptions.
- Using ML expert Platform
- Workspace: Workspace interface guide.
- ML expert Platform Workspace
- Workspace Home interface: Description of the Workspace Home interface.
- Dashboard: Learn about Workspace members and projects, and how to create and delete API keys.
- Member Settings: Learn how to add and remove Workspace members.
- GPU Resources: Learn how to view GPU resources allocated to the Workspace and assign them to projects.
- Data Manager: Learn how to view the dataset list and dataset details within the Workspace.
- Project
- Project home interface
- Volumes: Learn how to create or delete a volume and view its details.
- Notebooks: Learn how to create or delete a JupyterLab Notebook and view its details.
- Tensorboards: Learn how to create or delete a Tensorboard and view its details.
- Model Registry: Learn how to view the model list and model details.
- Pipelines interface
- Pipelines preparations: Learn how to prepare to use the Pipelines feature.
- Pipelines: Learn how to create or delete a pipeline and view its details.
- Experiments: Learn how to create or delete an experiment and view its details.
- Runs: Learn how to create or delete a run and view its details.
- Rucurring Runs: Learn how to create or delete a recurring run and view its details.
- Monitoring: Learn how to view the monitoring dashboard.
- Train models using kubectl: Learn how to train models using kubectl.
- Manage Secret using kubectl: Learn how to manage Secrets using kubectl.
- ML expert Platform permission management: Manage accounts using NAVER Cloud Platform's Sub Account.
- ML expert Platform troubleshooting
- Troubleshoot security setting issues: Troubleshoot security setting issues with ML expert Platform.
- ML expert Platform release notes: 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: Guide to VPC and Classic environments and support details.
- Contact Support: Get help if you can't find what you need in the user guide.
- Sub Account user guide: Manage team access for ML expert Platform.