Can I Deploy Multiple Services on One Dedicated Resource Pool Node?
Yes. This operation is allowed.
When you deploy services, select a dedicated resource pool and customize the compute node flavor. Select the node with a low flavor. When the resource pool node allows multiple service node flavors, multiple services can be deployed. If you use this method to deploy a model for inference, ensure that the selected flavor complies with the minimum model requirements for inference. Otherwise, the deployment or prediction may fail.
Resource Pools FAQs
- Can I Use ECSs to Create a Dedicated Resource Pool for ModelArts?
- Can I Deploy Multiple Services on One Dedicated Resource Pool Node?
- How Is a Node Newly Added to a Dedicated Resource Pool Billed?
- What Are the Differences Between a Public Resource Pool and a Dedicated Resource Pool?
- How Do I Log In to a Dedicated Resource Pool Node Through SSH?
- How Are Training Jobs Queued?
- What Do I Do If Resources Are Insufficient for Staring a New Real-Time Service After I Stop a Real-Time Service in a Dedicated Resource Pool?
- Can a Public Resource Pool Be Used for Network Connection Between ModelArts and the Authentication Service for Running Algorithms?
- Why Is a Dedicated Resource Pool That Fails to Be Created Still Displayed on the Console After It Is Deleted?
- How Do I Add a VPC Peering Connection Between a Dedicated Resource Pool and an SFS?
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