Modal
Serverless GPUs for AI workloads with per-second billing
Last reviewed May 8, 2026
Modal is a serverless GPU platform that lets developers run Python functions, jobs and inference endpoints on NVIDIA GPUs with per-second billing and scale-to-zero.
Available GPUs
Hourly on-demand pricing. Click column headers to sort.
Prices last updated: September 24, 2026
Modal pricing by GPU
Configurations, price rank, and alternatives for one GPU at a time.
Pros & Cons
Advantages
- Serverless model removes idle-instance costs
- Per-second billing across the full GPU range
- Strong fit for inference, batch jobs and ML pipelines
Limitations
- Long-running, fixed-instance training is not the primary use case
- Cold starts and storage limits require some application design
- No bare-metal access; workloads run inside Modal's runtime
Key Features
Serverless GPUs
Run Python functions on NVIDIA GPUs without provisioning instances; cold starts in seconds
Per-Second Billing
Pay for actual GPU runtime at sub-minute granularity, with scale-to-zero by default
Container-Native
Define environments in code, with automatic image building and caching
Wide GPU Catalog
From T4 and L4 through A100, L40S, H100, H200 and B200
Pricing Options
| Option | Details |
|---|---|
| Per-Second GPU Billing | Charged per second of GPU runtime, with scale-to-zero when idle |
| Free Tier | Monthly free credits for experimentation and personal projects |
| Team and Enterprise Plans | Volume commitments and enterprise support for production deployments |
Availability & Support
Regions
Multi-region availability across North America and Europe
Support
Documentation, community forum, and enterprise support for paid plans
Getting Started
- 1
Install the SDK
Run `pip install modal` and authenticate via the CLI
- 2
Define a function
Decorate a Python function with the desired GPU and image specification
- 3
Run or deploy
Invoke locally or deploy as a long-lived endpoint or scheduled job
Frequently Asked Questions
What GPU types does Modal offer?
Modal offers various GPU types including A100 PCIE, Tesla T4, A100 SXM, H100 SXM, H200, A10, HGX B300, L40S, B200, L4, RTX PRO 6000. Check the pricing table above for current availability and pricing.
How do I get started with Modal?
Install the SDK, Define a function, Run or deploy
What are Modal's main advantages?
Modal's main advantages include: Serverless model removes idle-instance costs, Per-second billing across the full GPU range, Strong fit for inference, batch jobs and ML pipelines.
What are Modal's limitations?
Modal's main limitations include: Long-running, fixed-instance training is not the primary use case, Cold starts and storage limits require some application design, No bare-metal access; workloads run inside Modal's runtime.
Compare Providers
Find the best prices for the same GPUs and models from other providers
