Kubeflow Training Operator is a Kubernetes-native project for fine-tuning and scalable distributed training of machine learning (ML) models created with various ML frameworks such as PyTorch, TensorFlow, XGBoost, MPI, Paddle, and others.

Features

  • TensorFlow Release Only
  • Python SDK for Kubeflow Training Operator
  • Documentation available
  • Examples available
  • TensorFlow API Definition
  • Use Kubernetes workloads to effectively train your large models via Kubernetes Custom Resources APIs
  • Use Training Operator Python SDK

Project Samples

Kubeflow Training Operator Screenshot 1

Project Activity

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Categories

Machine Learning

License

Apache License V2.0

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General-purpose, compute-optimized, or GPU/TPU-accelerated. Built to your exact specs.

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Additional Project Details

Operating Systems

Linux, Mac, Windows

Programming Language

Go

Related Categories

Go Machine Learning Software

Registered

2024-08-16
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