Modal vs Tensorlake
A side-by-side comparison of Modal and Tensorlake, drawn from Ignaite's continuously-verified listings.
Compared from listings verified as of
At a glance
The honest brief
Modal
Define GPU infra in Python decorators with 2-4s cold starts — no YAML, Dockerfiles, or managed-stack lock-in.
- Python-decorator infra, no YAML/Dockerfiles
- Scale-to-zero, pay only when running
- Scales to hundreds of GPUs
- Free monthly starter credits
- SDK lock-in; migrating means rewriting
- No managed vLLM/TensorRT setup
- Costs climb under heavy usage
- Billing hard to predict
Tensorlake
Sandboxes are stateful microVMs that pause and resume, so a long agent loop survives restarts instead of losing state on ephemeral runners.
- Stateful pause/resume sandboxes
- Isolated microVM code/tool execution
- Serverless workflows scale to zero
- SOC 2 Type 2, encrypted storage
- Free tier to start
- Newer, smaller than general clouds
- Usage-based cost can add up
- Self-host only on the enterprise tier