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Enterprise Layer Intelligence
Categories/AI Hosting & Inference/Modal
Modal

Modal

Founded by Erik Bernhardsson in 2021

Run serverless AI model training, inference, and batch jobs on cloud GPUs

Pricing model

Free Tier, Paid

Rating

★ People love it

Time to value

Quick Setup (< 1 hour)

You can use Modal to run Python code in the cloud without configuring virtual machines or managing Kubernetes clusters. It lets you deploy machine learning models, run batch processing jobs, and spin up secure sandboxes for untrusted code execution. The service offers instant access to GPUs that scale automatically from zero to thousands of units and back down, charging only for active runtime. You can also build HTTPS endpoints for model inference, fine-tune open-source models, and handle complex background processing workflows with native distributed storage.

What Modal does

Spin up on-demand GPU containers using Python decoratorsDeploy real-time HTTPS endpoints for model inferenceCreate and destroy thousands of isolated execution sandboxesMount distributed volumes to share model weights across functionsMonitor live GPU utilization and container metricsStream container logs to external monitoring toolsSchedule asynchronous batch processing routinesAutoscales GPU and CPU compute from zero to thousands of instancesProvides isolated sandboxes for running untrusted code and AI agentsDeploys OpenAI-compatible inference endpoints with low latencyOffers distributed storage for fast loading of container images and model weightsCharges compute usage by the second with zero idle costsIncludes continuous hardware health monitoring that automatically drains faulty nodesExports logs and performance metrics directly to OpenTelemetry providers

Pricing breakdown

Pricing model: Free tier, Paid

PlanList price
StarterFree
Team$250 / mo

Frequently asked

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Used by

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Ghita EL Haitmy

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Josh Arend

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Luke Johnson

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Matt Megarry

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Prady Modukuru

CEO @ SyncLabs

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Radu Herscovici

CEO @ Isw

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romeo

romeo

Web Developer @ R

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Vedant Mistari

Vedant Mistari

SEO Specialist @ Intern

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VENKAT ROHIT

VENKAT ROHIT

Market Research Analyst @ APSDPS

In their stack

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Modal, cloud computing, serverless GPUs, AI inference, model training, LLM serving, sandboxes, Python cloud functions, GPU autoscaling, distributed compute, machine learning infrastructure, model fine tuning, container runtime, batch processing, H100 GPUs, AI infrastructure