Modal vs RunPod
Compare Modal and RunPod on deployment, pricing, model support, and more.
Modal
- Tagline
- Serverless Python and GPU cloud — deploy ML models, batch jobs, and APIs with decorator syntax
- Description
- Modal is a serverless cloud platform for Python developers that makes running GPU workloads as easy as writing a function. Decorate any Python function with `@app.function(gpu='A100')` and Modal handles container building, GPU provisioning, auto-scaling, and deployment. Popular for LLM fine-tuning, Stable Diffusion inference, batch data processing, and API endpoints.
- Category
- LLM Frameworks
- Pricing
- Freemium
- Metric
- 10,000,000 Python functions deployed (source)
- Link
- Visit
RunPod
- Tagline
- GPU cloud for AI — rent A100/H100 GPUs for training, inference, and fine-tuning
- Description
- RunPod is a GPU cloud platform that provides on-demand access to A100, H100, and RTX GPUs for AI training, inference, and fine-tuning workloads. Significantly cheaper than AWS/Azure/GCP for GPU compute — community cloud GPUs start at $0.20/hr. Offers Serverless (auto-scaling inference endpoints), Pods (persistent GPU containers), and a template marketplace.
- Category
- LLM Frameworks
- Pricing
- Freemium
- Metric
- 100,000 GPUs in network (source)
- Link
- Visit
| Attribute | Modal | RunPod |
|---|---|---|
| Tagline | Serverless Python and GPU cloud — deploy ML models, batch jobs, and APIs with decorator syntax | GPU cloud for AI — rent A100/H100 GPUs for training, inference, and fine-tuning |
| Category | LLM Frameworks | LLM Frameworks |
| Pricing | Freemium | Freemium |
| Description | Modal is a serverless cloud platform for Python developers that makes running GPU workloads as easy as writing a function. Decorate any Python function with `@app.function(gpu='A100')` and Modal handles container building, GPU provisioning, auto-scaling, and deployment. Popular for LLM fine-tuning, Stable Diffusion inference, batch data processing, and API endpoints. | RunPod is a GPU cloud platform that provides on-demand access to A100, H100, and RTX GPUs for AI training, inference, and fine-tuning workloads. Significantly cheaper than AWS/Azure/GCP for GPU compute — community cloud GPUs start at $0.20/hr. Offers Serverless (auto-scaling inference endpoints), Pods (persistent GPU containers), and a template marketplace. |
| Metric | 10,000,000 Python functions deployed (source) | 100,000 GPUs in network (source) |
| Link | Visit | Visit |