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AI Infrastructure & Serving

Modal

Modal is cloud infrastructure for developing, training and serving AI applications, with scalable compute, container infrastructure and support for OpenAI-compatible inference endpoints.

Explore the practical guide ↓

Independent OpenViST project profile, based on linked sources.

Modal — OpenViST project profile in AI Infrastructure & Serving.
OpenViST project illustration. See the linked sources for product details.
Understand the project

Practical overview

When it fits

Use Modal when an AI application needs cloud compute for inference or fine-tuning, particularly when workloads need to scale or use OpenAI-compatible endpoints.

Who it is for

  • Teams hosting AI model inference endpoints.
  • Developers running batch or real-time inference workloads.
  • Teams fine-tuning large language models with managed cloud compute.
  • Builders who want to run AI applications without managing underlying container infrastructure.

Documented uses

  • Host scalable language or other AI model inference endpoints.
  • Run batch or real-time model inference.
  • Fine-tune large language models using cloud compute.
  • Build AI applications without managing container infrastructure.
Before you choose

Requirements & limits

Modal is a paid service; its pricing page says customers pay for the compute they use.

  • The service is infrastructure for AI workloads, not a standalone AI application.
  • Compute use is the basis of pricing.
  • OpenAI-compatible endpoints are supported for inference.
  • The service is cloud-based and handles underlying container infrastructure.

Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.

Source-based practical guide

Set up Modal for Python development

Install and authenticate the Modal Python package so you can begin running jobs.

Before you start

  • A Modal account
  • Python and pip
  • A valid payment method on file if using a GPU

Steps

  1. Create an account at modal.com.

  2. Install the package with the command below.

    Documented command
    pip install modal

  3. Authenticate by running modal setup; if that does not work, try the command below.

    Documented command
    python -m modal setup

Expected outcome

The Modal package is installed and authenticated, ready for job development.

Guide limitations

  • This setup recipe does not configure or run a specific workload.
  • Using a GPU requires a valid payment method on file.
Documentation 1 ↗
COMPARE OPTIONS

Compare options for Model inference and serving

These projects document a common task and share a project role. This is a source-based comparison, not an execution benchmark or a guarantee of interchangeability.

ProjectDocumented purposePlatformAccess and requirements
ModalHost scalable language or other AI model inference endpoints.CloudModal is a paid service; its pricing page says customers pay for the compute they use.
MorphingdbImport a libtorch model and create predictions from values in a PostgreSQL table.Docker, Linux, Self-hosted, ServerThe README documents a Docker image and a build-from-repository option, followed by connecting to PostgreSQL and enabling the pgdl extension.
Gateway — pyadavSend chat-completion requests to a provider through a common server endpoint.ServerThe repository is public and identifies the project as Apache-2.0 licensed. README installation instructions include binaries, platform package managers and Docker.
Evidence and transparency

Sources & review

modal.com ↗Guide documentation ↗
Source record details
Source availability
Active
Sources checked
7 October 2026
Original website title
Modal: The platform for production AI · Official homepage title · retained in its source language
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