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Modal

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Serverless AI cloud for running inference, training and sandboxes on GPUs with fast cold starts and pay-per-use billing.

What it does

Modal is a high-performance, serverless cloud platform for AI workloads. Developers define compute and hardware in Python and run inference, training, batch jobs and sandboxes on GPUs with sub-second cold starts, autoscaling from zero to 1000+ GPUs, and per-second billing.

How to use: Users can add one line of code to run any function in the cloud. The platform automatically scales resources based on demand, allowing users to focus on code rather than infrastructure management. It supports deploying custom AI models, fine-tuning, batch processing, and more.

Core features

Serverless GPU compute defined in Python
Sub-second container cold starts
Autoscale 0 to 1000+ GPUs
Inference, training and batch workloads
Secure sandboxes for untrusted code
Built-in logging and observability

Best for

Deploying and scaling model inference
Fine-tuning and training models
Running batch/parallel AI jobs
Executing untrusted code in sandboxes

Pricing

Starter
$0/mo
Team
$250/mo
Toolspool rankingby monthly traffic

Reviews

Big-picture takes: what it's for and whether it delivers. High-engagement YouTube videos — not sponsored.

Tutorials

Step-by-step: exactly how to get things done with it.