trainer
https://github.com/kubeflow/trainer
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Distributed AI Model Training and LLM Fine-Tuning on Kubernetes
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- Issues
- chore(api): Use SSA to update TrainJob status - #3362 follow on
- Protect status server with network policy
- Implement Registration Mechanism in the Pipeline Framework
- chore(ci): add shell script linting workflow
- fix(initializer): preserve model default ignore patterns
- KEP-3562: [OptimizationJob] [TrainJob] Promote TrainJob status feature flag to General Availability (GA)
- KEP-4064: Support multiple MPI worker groups with per group `numNodes` and `numProcPerNode`
- feat(framework): extend MPI plugin with Intel and MPICH backends
- Run MPI E2E tests for DeepSpeed and MLX examples
- KEP-2903: Support Elastic PyTorch in TrainJob
- Docs
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