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Scenario Overview - On-Prem Model Deployment and Status Check ​

This scenario shows how to create a model instance from an inference template and determine success from the instance, workload, node, and device views. For four NPU cards, it verifies that the deployment actually receives the requested card count.

Applicable Roles ​

  • Model Provider
  • End User
  • Operator assisting with troubleshooting

Goals ​

  • Create a model instance from an NPU template.
  • Interpret creating, running, queued, failed, and stopped states.
  • Verify the allocated NPU count.

Scenario Flow ​

Main path: Select a template and plan → Create the model instance → Check scheduling and runtime → Verify the service call

StageKey Result
1. Select configurationTemplate, card count, quota, storage, and instance parameters meet the task
2. Create the instanceThe request appears in Model Instances and remains traceable
3. Check statusScheduling, image, events, logs, and actual NPU allocation are healthy
4. Verify the serviceHealth checks pass and the endpoint completes one controlled call

Before You Start ​

  • A valid template and sufficient tenant quota are available.
  • The cluster has enough free NPU cards.
  • The model files, image, and startup parameters are ready.
  1. On-Prem Inference Template Building
  2. Deploy and Check a Model
  3. On-Prem Resource Metering and Monitoring

Document Index ​

DocumentDescription
Deploy and Check a ModelCreate an instance and verify state, workload events, and NPU allocation

Completion Checklist ​

Purpose: These are the scenario exit criteria. Use them to decide whether the outcome is observable and reviewable and whether you can continue to the next scenario. They do not repeat the procedure; if any item fails, return to the relevant feature guide and follow its troubleshooting section.

CheckPass Criteria
1The model instance is running.
2The workload uses the card count selected by the template.
3Health checks and the service endpoint work.