Developer Tools

Modal

Run or deploy machine learning models, massively parallel compute jobs, task queues, web apps, and much more, without your own infrastructure.

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modal.com

Verified API available ~16k monthly visits

Quick facts
What is it	Run or deploy machine learning models, massively parallel compute jobs, task queues, web apps, and much more, without your own infrastructure.
Pricing	Paid — from $250/mo
Free tier	Yes
Platform	Web Application
API	Yes
Best for	deploying LLM inference endpoints, running large-scale model training
Domain registered	1999

Data updated Aug. 1, 2026

What does Modal do?

Modal is a cloud platform specifically designed for AI and machine learning workloads. It provides developers with infrastructure to deploy and scale various AI applications including LLM inference, model training, batch processing, and sandboxed environments. Everything is defined in code without complex configuration files, keeping environments and hardware requirements synchronized automatically.

The platform stands out with its exceptional performance characteristics: sub-second cold starts, instant autoscaling, and container launches measured in seconds rather than minutes. It offers elastic GPU scaling across multiple cloud providers with no quotas or reservations required, allowing teams to scale back to zero when not in use. The built-in storage layer is globally distributed for high throughput and low latency, optimized for fast model loading and dataset handling.

This infrastructure benefits AI teams, ML engineers, and developers working on production AI applications who need reliable, scalable infrastructure without managing complex orchestration. Real-world use cases include deploying voice chat applications with LLMs, batch audio transcription at scale, fine-tuning specialized models, and running computational biology workloads that require massive parallel processing.

AI inference Developer Tools

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Key features

What makes it stand out

Sub-second cold starts and instant container scaling for tight feedback loops

Elastic GPU scaling across multiple clouds with no quotas or reservations

Programmable infrastructure defined entirely in code without YAML/config files

Built-in globally distributed storage optimized for AI workloads

Unified observability with integrated logging and workload visibility

Who is Modal for?

Who benefits most from this tool

deploying LLM inference endpoints

running large-scale model training

processing batch AI workloads

Pricing

Free tier available — start without a credit card

Starter

Free

5 cron jobs
100 containers
200 deployed apps
8 web endpoints
10 GPU concurrency
3 workspace seats
1 log retention days
30 monthly free credits
$30/month free credits
3 workspace seats included
100 containers + 10 GPU concurrency
Crons and web endpoints (limited)
Real-time metrics and logs
Region selection

Team

$250.0/month

unlimited cron jobs
1,000 containers
unlimited web endpoints
50 GPU concurrency
unlimited workspace seats
3 deployment rollbacks
100 monthly free credits
$100/month free credits
Unlimited seats
1000 containers + 50 GPU concurrency
Unlimited crons and web endpoints
Custom domains
Static IP proxy
Deployment rollbacks

Enterprise

Custom

custom GPU concurrency
unlimited workspace seats
Volume-based discounts
Unlimited seats
Higher GPU concurrency
Embedded ML engineering services
Support via private Slack
Audit logs, Okta SSO, and HIPAA

Trust & presence

Domain Domain registered 1999

Gallery

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In the news

Why AI Infrastructure must evolve for Agent Experience — Akshat Bubna, Modal CTO Jul 8, 2026