Modal for Startups
Platform credits for serverless GPU compute and AI workloads
Platform credits for serverless GPU compute and data workloads
- Best for
- Pre-seed, Seed
- Available in
- Global
- Program type
- Credits
- Last verified
- Apr 20, 2026
About this program
Modal is the serverless GPU platform most AI-native startups reach for when they want to run Python on an H100 without provisioning a cluster. You decorate a function, Modal handles the container, the scheduler, the GPU, and the endpoint. For fine-tuning, batch inference, ML pipelines, and scheduled jobs, it has become one of the standard answers.
The startup program extends platform credits that apply directly against Modal's pay-as-you-go billing across CPUs, GPUs, and storage. Partner-routed applications through accelerators and VC funds typically carry larger credit packages; direct applications are reviewed for teams with a concrete production use case. Modal's GPU availability shifts with supply, so the specific accelerators on offer (T4 and A10 for lighter workloads, A100 and H100 for heavier ones) are worth checking on the current pricing page.
For most AI-native teams, Modal sits alongside a model provider. OpenAI or Anthropic credits cover closed-weight inference. Modal credits cover the rest: open-weight inference, fine-tuning runs, batch evaluation jobs, and anything that needs direct GPU control. Treat the program as useful headroom on the pay-as-you-go bill rather than an all-you-can-eat window.
What you get
- Platform credits for serverless GPU compute and data workloads
- Offer type: Credits · Software Access
Eligibility
AI-native early-stage startups using Modal for inference, fine-tuning, batch processing, or data pipelines. Most entry points run through accelerator, incubator, or VC partnerships; direct applications are reviewed for teams with a clear production use case.
- Stage
- Pre-seed, Seed
- Region
- Global
- Incorporation required
- Yes
How to apply
- Check whether your accelerator, incubator, or lead investor has a Modal partnership.
- If partner-routed, request an activation link or credit code from their portfolio team.
- For direct applications, reach out through modal.com with company details, expected workloads, and GPU needs.
- After approval, create a Modal workspace, apply the credit in billing, and deploy your first function.
Frequently asked questions
What does Modal actually do?
Modal lets you run any Python function in the cloud by decorating it. You define the container image, the hardware (CPU, T4, A10, A100, H100), and the function signature; Modal handles scheduling, autoscaling, storage, and endpoints. It is used most often for AI inference, fine-tuning, batch data processing, ML pipelines, and scheduled jobs.
Is the program direct-apply or partner-routed?
Both paths exist. Partner-routed applications through accelerators and VC funds typically carry larger credit packages. Direct applications are reviewed for teams with a clear production use case on Modal. The current entry points are on Modal's startups page.
What GPUs are available on Modal?
Modal has historically supported a range of NVIDIA GPUs, including T4, A10, A100, and H100 tiers. GPU availability and pricing tiers shift as supply shifts; check Modal's pricing page for the current mix and any newer accelerators that have come online.
Can I use Modal for production inference?
Yes. Modal autoscales and supports production-grade web endpoints. The platform is used by AI-native startups for both batch training and live inference workloads. Most teams layer Modal alongside a model provider (OpenAI, Anthropic) or open-model host (Together AI, Hugging Face) depending on the task.
You'll be redirected to Modal to apply. FounderDeals never handles applications.
Alternatives to Modal for Startups
Other ai & ml programs founders weigh against Modal. Each links out to the provider's official page.