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 (vCPUs and GPUs) 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 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 you create a yearly/monthly dedicated resource pool on April 1, 2023 at 10:00:00. The flavor GPU: 1*nvidia-t4 | CPU: 8 vCPUs 32GB (modelarts.vm.gpu.t4u8) and one compute node are used. The purchase duration is two months. The unit price is $625.10 USD. The billing item is compute resources. The fee for running the dedicated resource pool is calculated as follows: