plugin-job

You can define and manage custom NeMo Platform jobs using standardized Pydantic schemas for input validation, which automatically compile job specifications for containerized cluster execution or local task invocation.

Containerized job execution works by compiling validated Pydantic job specifications into standardized interfaces that route tasks to the platform's job service for remote cluster execution or local in-process invocation.

Yes, you can test custom NeMo Platform jobs locally using the in-process execution mode before deploying the compiled job specification to the remote cluster execution service.

The best way to standardize input validation for scalable NeMo jobs is by defining Pydantic schemas that enforce strict spec validation before compilation and programmatic scheduling.

Yes, Pydantic is required to define the job specification schemas, ensuring input validation and schema compilation are properly standardized before routing to the containerized execution environment.

Custom NeMo Platform jobs fail during schema validation when the defined job inputs do not conform to the strict Pydantic schema requirements necessary for successful spec compilation and job routing.