# Modal

> Serverless compute platform for AI with custom Rust-based infrastructure that spins up GPU-enabled containers in one second, supporting Python workloads with per-second billing.

- **URL:** https://modal.com/
- **Category:** LLM Tools
- **Tags:** Serverless, GPU, infrastructure
- **Updated:** 2026-03-24 13:36
- **Canonical page:** https://vectordb.ever.works/de/items/modal

## Details

## Overview

Modal is a serverless compute platform for AI, ML, and data teams that makes it easy for developers to run workloads like ML inference, fine-tuning, and batch data jobs in the cloud. Modal is a serverless cloud platform for running Python code with GPU acceleration where you write Python with Modal decorators, and Modal handles provisioning, scaling, and teardown.

## Key Features & Technical Innovation

Modal's custom infrastructure allows them to spin up GPU-enabled containers in as little as one second, helping you iterate fast and scale up to large production workloads. Built from scratch with a Rust-based backend, the platform supports rapid container launches, dynamic scaling, and GPU-intensive workloads.

The innovation in Modal's product offering comes from its custom Rust-based container, efficient image building, and implementation of a customer filesystem with FUSE using a process known as lazy loading.

## Products Offered (2026)

Modal's product line includes Modal Inference, Modal Sandboxes, Modal Training, Modal Notebooks, Modal Batch, and Modal Core Platform.

## Pricing & Business Model

Modal scales resources up and down for you so you only ever pay for what you use. Modal offers $30 / month free compute credits on their starter plan. Per-second GPU billing is available, with H100 at ~$3.95/hr and A100 80GB at ~$2.50/hr.

## Market Position

The company has raised $32 million as of April 2024, reports usage across more than 100 enterprise customers, and positions itself within a growing market for container-based AI infrastructure projected to reach over $96 billion by 2027.

Modal continues to be actively used in 2026 as a leading serverless GPU platform for AI and machine learning workloads.

## Integration

Modal integrates with smolagents framework for executing AI agent code in sandboxed environments.

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