Dedicated Resource Pool

Description

When using ModelArts for AI development, compute resources are billed for running ExeML, development environments, training jobs, and deployed services. For details, see Table 1.

**Table 1** Billing items
Billing Item		Description	Billing Mode	Billing Formula
Compute resource	Dedicated resource pools	Usage of compute resources. For details, see ModelArts Pricing Details.	Pay-per-use	Specification unit price x Number of compute nodes x Usage duration
Compute resource	Dedicated resource pools		Yearly/Monthly	Specification unit price x Number of compute nodes x Purchase duration

Billing Example

The following specifications and prices are for reference only. For the actual prices, see pricing details for each service.

Example: Using a pay-per-use dedicated resource pool; billing item: compute resource

Assume that you create a pay-per-use dedicated resource pool on April 1, 2023 at 10:00:00 and delete it on May 1, 2023 at 10:00:00. The flavor CPU: 8 vCPUs 32GB and one compute node are used. The unit price is $0.66/hour. The billing item is compute resources. The fee for running the dedicated resource pool is calculated as follows:

Compute resource fee = $0.66 USD/hour x 1 x (30 x 24) hours = $475.20 USD

Fee for running the dedicated resource pool = $475.20 USD.

Example: Using a yearly/monthly dedicated resource pool; billing item: compute resource

Assume that a user creates a yearly/monthly dedicated resource pool at 10:00:00 on April 1, 2023, the resource pool specifications are 8 vCPUs 32 GB, the number of compute nodes is 1, the service duration is two months, and the unit price is 625.1 USD. The billing item is compute resources. The fee for running the dedicated resource pool is calculated as follows: