trainer
https://github.com/kubeflow/trainer
Go
Distributed AI Model Training and LLM Fine-Tuning on Kubernetes
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- Issues
- fix(initializer): stop defaulting the S3 region to "auto" for AWS endpoints
- feat(docs): KEP-4064: MPI node groups
- fix(framework): preserve trainer argument boundaries
- feat: KEP-3562: Add Optuna search algorithm service
- MPI runtime numNodes scales the launcher Job instead of the node Job
- Add ServiceMonitor to Helm and Kustomize deploy configuration.
- fix(cache): cut quadratic work from data cache startup and query path
- fix(cache): stop discarding failures in the data cache assignment handshake
- feat(controller): add TrainJob TTL cleanup and runtime defaults
- feat(runtimes): allow selecting ReplicatedJobs for PodGroupPolicy
- Docs
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