kubeflow/trainer
Distributed AI Model Training and LLM Fine-Tuning on Kubernetes
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Where it stands
Rank, growth pace and release cadence relative to everything GStars tracks.
4 releases in the last 90 days, the latest today, with 303 contributors on GitHub.
Use Cases & Benefits
- Enables distributed training and fine-tuning of large language models on Kubernetes using multiple ML frameworks.
- Provides a unified, Kubernetes-native training experience supporting PyTorch, TensorFlow, JAX, and integration with HuggingFace and DeepSpeed.
- Use for scaling AI model training workloads across GPU clusters in Kubernetes environments.
- Use for fine-tuning large language models leveraging Kubeflow Python SDK and custom Kubernetes training runtimes.
- Use for integrating diverse ML libraries like Megatron-LM and XGBoost into Kubernetes-based MLOps pipelines.
Should you depend on it?
License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.
License
Apache 2.0
Permissive: commercial use, modification and redistribution are allowed with attribution; includes an explicit patent grant from contributors.
Community files
- README: present
- Contributing guide: present
- Code of conduct: present
Watch-outs
No watch-outs from GStars' checks.
General guidance from repository metadata, not legal advice. How we score
From the README
Kubeflow Trainer is a Kubernetes-native project designed for large language models (LLMs) fine-tuning and enabling scalable, distributed training of machine learning (ML) models across various frameworks, including PyTorch, JAX, TensorFlow, and others.
You can integrate other ML libraries such as HuggingFace, DeepSpeed, or Megatron-LM with Kubeflow Trainer to run them on Kubernetes.
Kubeflow Trainer enables you to effortlessly develop your LLMs with the Kubeflow Python SDK, and build Kubernetes-native Training Runtimes using Kubernetes Custom Resource APIs.
Daily snapshots
Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots
Forks
1.1K+86
Open issues
248+102
Compared with peers in AI
Fastest-growing repositories GStars tracks in this cohort for the week of Nov 1, by 7-day star growth
| Repository | Stars | +7d | Health | Last release |
|---|---|---|---|---|
| thedotmack/claude-mem | 113.6K | +8.8K | 35 | today |
| D4Vinci/Scrapling | 98.1K | +6.9K | 65 | 1 day ago |
| Leonxlnx/taste-skill | 110.7K | +5.2K | 55 | 1 day ago |
| calesthio/OpenMontage | 77.2K | +4.2K | 40 | — |
| heygen-com/hyperframes | 79.6K | +4.1K | 45 | today |
| kubeflow/trainer | 2.3K | — | 45 | today |
| Category median | 98.1K | +5.2K | 45 | — |
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