NVIDIA Run:ai Environment API

An environment resource designates the container image, the image pull policy, working directory, security parameters, and others. It exposes all the necessary tools (open source, 3rd party, or custom tools) along with their connection interfaces including external node port and the container ports. You can also specify a standard, distributed, or inference workload architecture for the environment. An environment is a mandatory building block for the creation of a workload. For more information, see [Environments](https://run-ai-docs.nvidia.com/saas/workloads-in-nvidia-run-ai/assets/environments).

Operations 5

GET /api/v1/asset/environment List environment assets #
POST /api/v1/asset/environment Create an environment asset #
GET /api/v1/asset/environment/{AssetId} Get an environment asset #
PUT /api/v1/asset/environment/{AssetId} Update an environment asset #
DELETE /api/v1/asset/environment/{AssetId} Delete an environment asset #

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OpenAPI Specification

runai-environment-api-openapi.yml Raw ↑
openapi: 3.2.0
info:
  version: latest
  description: '# Introduction


    The NVIDIA Run:ai Control-Plane API reference is a guide that provides an easy-to-use programming interface for adding various tasks to your application, including workload submission, resource management, and administrative operations.'
  title: NVIDIA Run:ai Environment API
  x-logo:
    url: https://api.redocly.com/registry/raw/runai-xq8/saas/latest/public/runai-logo-api.png
    altText: NVIDIA Run:ai
    href: https://run.ai
  license:
    name: NVIDIA Run:ai
    url: https://www.nvidia.com/en-us/agreements/enterprise-software/nvidia-software-license-agreement/
servers:
- url: https://app.run.ai
security:
- bearerAuth: []
tags:


# --- truncated at 32 KB (48 KB total) ---
# Full source: https://raw.githubusercontent.com/api-evangelist/runai/refs/heads/main/openapi/runai-environment-api-openapi.yml