Help Center/ ModelArts/ ModelArts User Guide (Lite Cluster)/ Managing Lite Cluster Resources/ Managing Lite Cluster Resources
Updated on 2025-08-20 GMT+08:00
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Managing Lite Cluster Resources

On the ModelArts console, you can manage created resources. You can click a resource pool name to access its details page and perform the following operations:

  • Managing Lite Cluster Resource Pools: ModelArts allows you to manage resource pools, including renewing subscriptions, enabling or modifying auto-renewal, scaling resources, and upgrading drivers.
  • Managing Lite Cluster Node Pools: To help you better manage nodes in a Kubernetes cluster, ModelArts provides node pools. A node pool is a group of nodes with the same configuration in a cluster. You can create, update, or delete node pools.
  • Managing Lite Cluster Nodes: A node is a fundamental component of a container cluster. You can replace, delete, or reset a node within a resource pool. You can also delete, unsubscribe from, or renew nodes in batches.
  • Resizing a Lite Cluster Resource Pool: The demand for resources in a Cluster resource pool may change due to the changes of AI development services. In this case, you can resize your resource pool in ModelArts.
  • Upgrading the Lite Cluster Resource Pool Driver: If GP or Ascend resources are used in a resource pool, you may need to customize GP or Ascend drivers. ModelArts allows you to upgrade GP and Ascend drivers of your dedicated resource pools.
  • Monitoring Lite Cluster Resources: ModelArts leverages AOM and Prometheus to monitor resources, providing insights into resource usage.
  • Releasing Lite Cluster Resources: You can release Lite Cluster resources that are no longer used.
Figure 1 Lite Cluster resource management