Modal
Serverless cloud for AI and GPU workloads in Python
Modal provides serverless cloud infrastructure for building, training, and serving Python AI workloads with on-demand GPU and CPU compute.
- for
- AI engineers and data scientists building scalable Python models and pipelines
- pricing
- freemium
Key features
- Pay-per-second billing — Charges only for actual CPU, GPU, memory, and network usage, billed by the second.
- Instant autoscaling — Containers spin up/down in 1-2 seconds based on request volume.
- GPU-focused compute — Supports a range of Nvidia GPUs (A100, H100, RTX PRO 6000, etc.) with per-second pricing.
- Python-first containers — Deploy any containerized Python app, ideal for inference, training, and data pipelines.
- Integrated notebooks & sandboxes — Serverless notebooks and sandboxes that burst resources only when needed.
- Enterprise features — Custom domains, static IP proxy, RBAC, SSO, audit logs, and HIPAA compliance.
Use cases
- Scale stable-diffusion image generation with per-image GPU billing
- Run nightly model-training jobs that auto-scale to multiple GPUs
- Process streaming data pipelines with serverless functions
- Execute large scientific simulations that need high-memory CPUs
Modal pricing
- Starter$0 + compute$30 / month free compute credits · 3 workspace seats · 100 containers + 10 GPU concurrency · Real-time metrics and logs
- Team$250 + compute$100 / month free compute credits · Unlimited seats · 5000 containers + 50 GPU concurrency · Custom domains, static IP proxy
Modal vs alternatives
 Modal |  Render |  Railway |  Cloudflare Workers |  Fly.io | |
|---|---|---|---|---|---|
| Best for | Serverless GPU-accelerated AI workloads | General web app deployment | Simple app deployment | Edge JavaScript functions | Low-latency full-stack hosting |
| Pricing | Freemium | Subscription | Subscription | Subscription | Subscription |
| DevHunt upvotes | 0 | 0 | 0 | 0 | 0 |
| Launched | — | — | — | — | — |
- Modal vs Render: Render focuses on general web app hosting, while Modal specializes in serverless GPU-accelerated Python AI workloads
- Modal vs Railway: Railway offers easy app deployment but lacks fine-grained GPU pricing and AI-specific tooling
- Modal vs Cloudflare Workers: Cloudflare Workers runs serverless JavaScript at the edge, not Python GPU workloads
- Modal vs Fly.io: Fly.io runs full-stack apps close to users but does not provide per-second GPU billing for AI workloads
Modal FAQ
What counts as billable time?+
Modal bills while a container is loading and processing inputs, and for a configurable idle timeout (default 60 s) after the last request.
How are CPU and memory usage metered?+
Usage is recorded continuously; you pay for the higher of requested or actual consumption, with a minimum of 0.125 CPU cores and 128 MiB memory per container.
Can I use AWS, GCP, or Azure credits?+
Credits from those clouds cannot be applied, though eligible AWS Activate startups can receive additional Modal credits.
What types of applications can I deploy?+
Any containerizable Python app, especially compute-intensive workloads like ML inference, model training, data pipelines, and job queues.
Do I need to purchase credits upfront?+
No; Starter and Team plans are pay-as-you-go, though you receive free compute credits each month.
Summarized by DevHunt from modal.com · Oct 1, 2026. Details may change; check the official site.
About this listing
DevHunt lists Modal because developers expect to find it next to the tools in its category. It did not launch on DevHunt. Work on Modal? Message us to claim this listing.
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