Directory / Modal
Modal
Verified
Serverless containers and GPUs for agent workloads.
Modal runs containers and GPUs as functions: scale to zero, fast start, no cluster to babysit. Agent products use the general compute as a sandbox or as training/evaluation hardware. IDE workflows require another product.
- Model support
- Multi-model
- Deployment
- Cloud
- Open source
- No
- License
- Proprietary (platform); client libraries are public
- Pricing model
- Usage
- Added / updated
- 19 Aug 2026 / 19 Aug 2026
Assessment
Modal runs containers and GPUs as Python-defined functions. Image-based execution, evaluation jobs, and generated-code workloads map to this model; other products handle coding-agent behavior and dedicated Firecracker infrastructure. Check current billing and isolation documentation.
Strengths
- Serverless containers and GPU workloads.
- Evaluation jobs and generated-code execution.
- Python-native developer UX.
Limitations
- Cloud-only platform; VPC placement and isolation terms require current documentation.
- General compute, so isolation defaults are your problem to configure.
- Not issue-to-PR.
Compare
- vs e2b : General GPU and container compute compared with an agent sandbox.