Qubrid AI GPU Catalog API

openapi: 3.1.0
info:
  title: Qubrid AI Compute Chat Completions GPU Catalog API
  description: The Qubrid AI Compute API provides programmatic access to GPU cloud infrastructure including NVIDIA H100, H200, and B200 accelerators. Developers can provision and manage GPU instances for AI and machine learning workloads through API calls. The service supports on-demand compute for training, fine-tuning, and batch inference jobs, with usage-based billing and enterprise features such as team collaboration and usage tracking. Instances can be accessed via SSH, Jupyter notebooks, or Visual Studio Code, and support quick-deploy templates for popular frameworks including PyTorch, TensorFlow, ComfyUI, n8n, and Langflow.
  version: 1.0.0
  contact:
    name: Qubrid AI Support
    url: https://www.qubrid.com/contact
  termsOfService: https://www.qubrid.com/terms-of-service
servers:
- url: https://platform.qubrid.com/api/v1
  description: Qubrid AI Compute Production Server
security:
- bearerAuth: []
tags:
- name: GPU Catalog
  description: Browse available GPU types, configurations, and pricing tiers including on-demand, weekly, monthly, and reserved options for NVIDIA, AMD, and Intel accelerators.
paths:
  /gpus:
    get:
      operationId: listGpuTypes
      summary: List available GPU types
      description: Returns a catalog of available GPU types and configurations on the Qubrid AI platform, including NVIDIA H100, H200, B200, and other accelerators with their pricing, memory specifications, and availability by region.
      tags:
      - GPU Catalog
      responses:
        '200':
          description: Successfully retrieved the GPU catalog.
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/GpuTypeList'
        '401':
          description: Authentication failed due to a missing or invalid bearer token.
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/ErrorResponse'
components:
  schemas:
    ErrorResponse:
      type: object
      properties:
        error:
          type: object
          properties:
            message:
              type: string
              description: A human-readable error message describing what went wrong.
            type:
              type: string
              description: The type of error that occurred.
            code:
              type: string
              description: A machine-readable error code.
    GpuType:
      type: object
      properties:
        id:
          type: string
          description: The unique identifier for the GPU type.
        name:
          type: string
          description: The display name of the GPU, such as NVIDIA H100 80GB.
        manufacturer:
          type: string
          description: The GPU manufacturer, such as NVIDIA, AMD, or Intel.
        memory_gb:
          type: integer
          description: The GPU memory in gigabytes.
        price_per_hour:
          type: number
          description: The on-demand price per hour in USD.
        available:
          type: boolean
          description: Whether this GPU type is currently available for provisioning.
        regions:
          type: array
          items:
            type: string
          description: The data center regions where this GPU type is available.
    GpuTypeList:
      type: object
      properties:
        data:
          type: array
          description: A list of available GPU type objects.
          items:
            $ref: '#/components/schemas/GpuType'
  securitySchemes:
    bearerAuth:
      type: http
      scheme: bearer
      bearerFormat: QUBRID_API_KEY
      description: Qubrid AI API key passed as a bearer token in the Authorization header. Obtain your API key from the Qubrid AI platform dashboard at https://platform.qubrid.com.
externalDocs:
  description: Qubrid AI Documentation
  url: https://docs.platform.qubrid.com