NVIDIA Run:ai Distributed API

Distributed Training, is the ability to split the training of a model among multiple processors. It is often a necessity when multi-GPU training no longer applies; typically when you require more GPUs than exist on a single node. Each such split is a pod (see definition above). NVIDIA Run:ai spawns an additional launcher process that manages and coordinates the other worker pods. For more information, see [Distributed training](https://run-ai-docs.nvidia.com/saas/workloads-in-nvidia-run-ai/using-training/distributed-training/distributed-training-models).

Business capability
Artificial Intelligence Management BC-610.60

Operations 5

POST /api/v1/workloads/distributed Create a distributed training #
DELETE /api/v1/workloads/distributed/{workloadId} Delete a distributed training by id #
GET /api/v1/workloads/distributed/{workloadId} Get distributed training's data. [Experimental] #
POST /api/v1/workloads/distributed/{workloadId}/suspend Suspend a distributed training #
POST /api/v1/workloads/distributed/{workloadId}/resume Resume a distributed training #

Work with this as data

Every API here is available over the APIs.io API and to AI agents over MCP.

MCP server

One button, every client — Claude, Cursor, VS Code and the rest.

https://apis.io/mcp

Tools for apis

7 MCP tools reach this
  • find_apisBrowse and filter every API in the catalog.
  • get_api_artifactsOne API's artifacts, grouped by type.
  • get_openapiThe primary OpenAPI for this API.
  • find_similar_apisAPIs that look like this one.
  • apis_io_searchSTART HERE — APIs, providers and tags for one query, each with its total.
  • resolveTurn a domain, URL or GitHub org into the provider it belongs to.
  • find_cohortsEvery scored population of providers in the catalog.
All 92 tools →

Call it yourself

curl for this page
This API
curl "https://apis.io/api/v1/apis/runai-distributed-api"
All apis
curl "https://apis.io/api/v1/apis?limit=25"

Discovery needs no key. Ratings and market analysis are Pro.

Get an API key

Free tier, no form to fill in. Signing in shares your email address with us — we store it to create your key and to recognise you if you sign in with another provider. See our Privacy Policy and Terms.

A second provider on the same verified email joins the account you already have.

OpenAPI Specification

runai-distributed-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 Distributed 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 (84 KB total) ---
# Full source: https://raw.githubusercontent.com/api-evangelist/runai/refs/heads/main/openapi/runai-distributed-api-openapi.yml