Training Jobs
Distributed training runs — the workhorse for serious model work.
Training jobs run finite, distributed training workloads on Vantage. They're built on Kubeflow Trainer under the hood, but you don't see any of that — you pick a runtime, a sizing, optional initializers for dataset and model, and where to put the output.
Runtimes
A runtime is a pre-built training environment: framework + base image + parallelism strategy. Vantage ships several cluster-wide runtimes; admins can publish workspace-scoped ones too.
Presets
Training presets are read-only named configurations that combine a runtime with a sizing — they let you start a job in a few clicks instead of filling out the full form. See Presets.
Next steps
- Presets — quick-start configurations
- Runtimes — pre-built training environments
- Submitting a job — the job creation form
- Lifecycle — phases and actions
- Reference — every field, every default