This is the Linux app named Kubeflow Trainer whose latest release can be downloaded as v2.1.0sourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
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Kubeflow Trainer
DESCRIPTION
Kubeflow Trainer is a Kubernetes-native platform designed for scalable, distributed training and fine-tuning of machine learning models, particularly large language models, across multi-node and multi-GPU environments. It extends the Kubeflow ecosystem by providing a unified framework for orchestrating training workloads using Kubernetes primitives, enabling seamless scaling from single-machine experiments to large production clusters. The platform supports a wide range of machine learning frameworks, including PyTorch, JAX, Hugging Face, DeepSpeed, and XGBoost, making it highly flexible for different AI use cases. One of its key innovations is the integration of MPI-based distributed computing within Kubernetes, allowing efficient communication between nodes for high-performance training. It also includes advanced scheduling capabilities through integrations with tools like Kueue and Volcano, enabling topology-aware resource allocation and multi-cluster job orchestration.
Features
- Distributed training across multi-node and multi-GPU clusters
- Support for multiple ML frameworks including PyTorch and JAX
- Kubernetes-native orchestration and scheduling
- MPI-based communication for high-performance workloads
- Distributed data caching for efficient data streaming
- Python SDK for managing training jobs and pipelines
Programming Language
Go
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/kubeflow-trainer.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
