Renewal policy

Updated at:

You can renew subscription resources for Data Science Workshop (DSW), Deep Learning Containers (DLC), Elastic Algorithm Service (EAS), Dataset Accelerator, and scenario-based solutions. Renew a resource before it expires. An expired resource is released, and the release can cause data loss.

Data Science Workshop (DSW) and Deep Learning Containers (DLC)

DSW and DLC subscription compute resources support two renewal methods:

  • Auto-renewal: To avoid manual renewal each time, select Auto-renewal when you purchase subscription compute resources. For instructions, see Introduction to resource pools.

  • Manual renewal: In the resource list of the dedicated resource group, find the target resource and click Renew in the Actions column. For instructions, see Manage resources.

Elastic Algorithm Service (EAS)

EAS subscription instances in a dedicated resource group support two renewal methods:

  • Auto-renewal: To avoid manual renewal each time, select Auto-renewal when you purchase subscription instances. For instructions, see Use EAS resource groups.

  • Manual renewal: On the details page of the dedicated resource group, find the target subscription instance. In the Actions column, click the Three dots icon, and then choose Renew to renew that instance. For instructions, see Use EAS resource groups.

Dataset Accelerator

Dataset Accelerator subscription instances support two renewal methods:

Scenario-based solutions

Renewal for scenario-based solutions depends on the solution that you use:

  • User Growth: To offset costs with a resource plan, contact your account manager to purchase a resource plan.

  • Multimedia Analytics: To offset costs with a resource plan, go to the Multimedia Analytics page and click Purchase Point Package. For details, see Multimedia Analytics.

  • AI Portrait: To offset costs with a resource plan, go to the AI Portrait page and click Purchase Point Package. For details, see AI Portrait Overview.