trainer
https://github.com/kubeflow/trainer
Go
Distributed AI Model Training and LLM Fine-Tuning on Kubernetes
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- Issues
- KEP-3310: Shared initializer support for train jobs
- Create model exporter for checkpointing and training output
- feat(manifests): add optional Grafana dashboard for controller observability
- fix(operator): Scope MPI ConfigMap and Secret watches to owned objects
- feat: KEP-3744: Store trial history natively in OptimizationJob status
- chore: add MPI E2E tests for DeepSpeed and MLX example notebooks
- KEP-2839: Kubeflow Dynamic LLM Trainer Framework
- feat(docs): Extend KEP-2170 with Initializer plugin design
- feat: add Trainer control-plane metrics
- Docs
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