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    Resource Specifications

    Overview

    The Resource Specifications feature allows platform administrators to pre-define compute resource specification templates, including CPU, memory, disk, and GPU configurations. When users create container instances (such as Notebooks, inference instances, or fine-tuning instances), they can directly select a pre-defined specification instead of manually filling in resource parameters, simplifying the workflow and standardizing resource usage.

    Use Cases

    • Standardized resource allocation: Define standard specifications for different workload types (e.g., development, training, inference)
    • Simplified user experience: Users don't need to understand low-level resource configuration details — just select a specification
    • Cost control: Limit the maximum resources users can request through pre-defined specifications

    Creating Resource Specifications

    1. Log in as a platform administrator.
    2. Navigate to Platform Management → Resource Specifications.
    3. Click the Create Specification button.
    4. Fill in the specification details:
    Parameter Description
    Name Custom name for easy identification (e.g., "Dev-4C8G", "Training-A100-80G")
    CPU CPU core count configuration
    Memory Memory size configuration (GiB)
    GPU Model Optional; specify a GPU model (e.g., A100, V100)
    GPU Count Optional; number of GPU cards
    GPU Memory Optional; VRAM allocation per GPU card
    1. Click OK to complete creation.

    Managing Specifications

    In the specification management list, you can perform the following operations on existing specifications:

    • View: View detailed configuration of a specification
    • Edit: Modify resource configuration parameters
    • Delete: Remove specifications that are no longer needed

    Note

    Deleting a specification does not affect instances already created using it. Running instances continue with their original resource configuration.

    Using Specifications

    After specifications are created, users can select them in the following scenarios:

    • When creating a Notebook development instance, select a specification in the Resource Configuration step
    • When creating a dedicated model inference instance, select a compute specification
    • When creating a model fine-tuning instance, select a GPU resource specification
    • When creating an application Space, select a cloud resource specification

    After selecting a specification, the system automatically populates the corresponding CPU, memory, GPU, and other resource configuration parameters.