Help Center/ ModelArts/ Billing/ Billing Item/ Dedicated Resource Pool
Updated on 2024-06-28 GMT+08:00

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

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:
  • Compute resource fee = $625.10 USD x 2 = $1,250.20 USD

In conclusion, the fee for running the dedicated resource pool is $1,250.20 USD