It is challenging to iterate quickly on large ML models in a local environment.
Advanced computing hardware can help, but it may be expensive if only needed for a subset of the code.
With Covalent, you can:
- Assign resource-intensive functions to advanced hardware.
- Test these functions on local servers before deploying them to expensive hardware.
