Updated on 2023-09-07 GMT+08:00
ModelArts Resources
ModelArts provides public and dedicated compute resources. You can select proper resources to develop AI applications.
- Public resource pools: provide large-scale public computing clusters, which are allocated based on job parameter settings. Resources are isolated by job. You will be billed based on resource flavors, usage duration, and the number of instances used in a public resource pool, regardless of tasks (training, deployment, or development). Public resource pools are provided by ModelArts by default and do not need to be created or configured. You can directly select a public resource pool during AI development.
- Dedicated resource pools: provide dedicated compute resources, which can be used for workflows, ExeML, DevEnviron, training jobs, and model deployment. It delivers higher efficiency and cannot be shared with other users. You can create your own dedicated resource pool on the ModelArts console. For details, see Creating a Dedicated Resource Pool.
Description
- When you use ModelArts for model training and deployment, compute resources are used. For details, see Pay-Per-Use.
Parent topic: Enabling ModelArts Resources
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