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1515Latest News 🔥
1616
17+ - [ 2026/03] Kubeflow Trainer v2.2 is officially released with support for JAX and XGBoost
18+ Training Runtimes, enhanced observability with metrics propagation to TrainJob status,
19+ and Flux Framework integration for HPC and MPI workloads. Check out
20+ [ the blog post announcement] ( https://blog.kubeflow.org/kubeflow-trainer-v2.2-release/ ) .
1721- [ 2025/11] Kubeflow Trainer v2.1 is officially released with support of
1822 [ Distributed Data Cache] ( https://www.kubeflow.org/docs/components/trainer/user-guides/data-cache/ ) ,
1923 topology aware scheduling with Kueue and Volcano, and LLM post-training enhancements. Check out
@@ -74,7 +78,6 @@ Additional talks:
7478- [ From High Performance Computing To AI Workloads on Kubernetes: MPI Runtime in Kubeflow TrainJob] ( https://youtu.be/Fnb1a5Kaxgo )
7579- [ Streamline LLM Fine-tuning on Kubernetes With Kubeflow LLM Trainer] ( https://youtu.be/O7cNlaz3Hqs )
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77-
7881## Getting Started
7982
8083Please check [ the official Kubeflow Trainer documentation] ( https://www.kubeflow.org/docs/components/trainer/getting-started )
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