Managed model deployment vs serverless GPU functions. Built for different teams.
| Feature | ModelPilot | Modal |
|---|---|---|
| Primary use case | Deploy off-the-shelf AI models | Run custom GPU workloads |
| Setup approach | Pick a model, click deploy | Write Python, define containers |
| Target audience | Creative teams, indie devs, startups | ML engineers, Python developers |
| ComfyUI | Full environment included | Build it yourself |
| Custom code | Not required — UI-driven | Python-first, code required |
| GPU access model | Dedicated instances, always-on | Serverless, auto-scaling |
| Cold starts | None (dedicated GPU) | Seconds to minutes (serverless) |
| Fine-tuning / training | Not supported | Full support |
| Custom ML pipelines | Limited to supported models | Any Python code |
| Pricing | From $0.53/hr per GPU | Per-second GPU billing |
You want to deploy standard AI models without writing code. ComfyUI workflows are important to you.
You need custom ML pipelines, fine-tuning, or Python-first GPU functions.
Ready to try ModelPilot? $1 free credit on signup — no card required.