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Build an NPU Inference Template ​

Target Outcome ​

The template exposes a compatible framework, model, runtime configuration, and one-card or four-card NPU plan.

Applicable Roles ​

  • Platform Operator

Before You Start ​

  • Prepare the model configuration, framework, image, resource specification, ports, and storage requirements.
  • Decide whether four cards form one distributed instance or several smaller instances.

Entry ​

  • Role: Operator
  • Menu: AI Infrastructure > On-Prem > Templates > Inference Templates
  • Route: /powerone/fast-build-v2/inference-templates

Steps ​

  1. Open Model Configuration and confirm that model name, type, storage location, and state are available.

Confirm that model configuration is selectable

  1. Open Inference Frameworks and confirm that framework version and runtime image support the target NPU.
  2. Open VRAM Estimation and confirm one-card and multi-card memory requirements for the parameter scale, precision, and parallel method.

Review VRAM estimation by model precision and scale

  1. Create a template, enter its purpose, and select the prepared model configuration and inference framework.
  2. Select a resource specification with the target NPU model, card count, and memory.
  3. Configure the command, environment variables, ports, health check, model path, and any page-supported extra parameters.
  4. Align multi-card parallel parameters with the two-card or four-card specification.
  5. Save the template, set it to Available only after the model, framework, accelerator relation, VRAM parameters, and startup settings pass validation, and use a test deployment to verify image, driver, VRAM, and startup parameters.

Inference templates

Four-NPU Strategy ​

  • Keep separate one-card, two-card, and four-card templates.
  • State whether a four-card template requires one node or supports multi-node deployment.
  • Validate drivers, runtime, collective communication, and health checks with a small model first.

Completion Checklist ​

Purpose: These are the exit criteria for the current feature task. Use them to decide whether the result is observable and reviewable and whether you can continue to the next step in the scenario. They do not repeat the procedure; if any item fails, follow the troubleshooting section below.

CheckPass Criteria
1Model, framework, VRAM estimation, and template records are visible and available.
2Its flavor contains the expected NPU model and count.
3A test deployment reaches a creating or running state.

Troubleshooting ​

SymptomCheck First
Framework or model is unavailableStatus, region, compatibility, and template prerequisites
Four-card deployment cannot startSpecification, distributed parameters, free cards, ports, and storage
Template remains unavailableModel or framework state, accelerator relation, VRAM factor, required fields, and whether the template was explicitly set to Available
Extra parameters cause a startup failureParameter names, value format, framework support, and whether the parameter requires professional-service validation

User Manual ​

Inference Templates