Modal Images and GPU

Define container images programmatically with modal.Image (from_registry, debian_slim, pip_install, run_commands) and attach GPUs by passing gpu= (T4, L4, A10, L40S, A100, H100, H200, B200) to a function. Image build and GPU attachment are declared in code and resolved by the gRPC backend; no public REST endpoint.

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/modal-labs-images-gpu-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 email required.

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

API entry from apis.yml

apis.yml Raw ↑
aid: modal-labs:modal-labs-images-gpu-api
name: Modal Images and GPU
tags:
- Image
- GPU
- Containers
- Environments
- SDK
tags_raw:
- Images
- GPU
- Containers
- Environments
- SDK
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/apis-json-logo.jpg
humanURL: https://modal.com/docs/guide/images
properties:
- url: https://modal.com/docs/guide/images
  type: Documentation
- url: https://modal.com/docs/reference/modal.Image
  type: APIReference
description: Define container images programmatically with modal.Image (from_registry, debian_slim, pip_install,
  run_commands) and attach GPUs by passing gpu= (T4, L4, A10, L40S, A100, H100, H200, B200) to a function.
  Image build and GPU attachment are declared in code and resolved by the gRPC backend; no public REST
  endpoint.