tony-framework/TonY
TonY enables distributed deep learning training jobs to run as native Hadoop/YARN applications with GPU support.
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TonY is a framework that natively integrates deep learning frameworks with Apache Hadoop, allowing TensorFlow, PyTorch, MXNet, and Horovod training jobs to run on Hadoop clusters. It supports both single-node and distributed training configurations, can use either zipped Python virtual environments or Docker containers for execution, and provides GPU isolation capabilities through Hadoop. It serves as a connector between ML training workloads and Hadoop’s resource management infrastructure.
Frequently asked
- What is tony-framework/TonY?
- TonY enables distributed deep learning training jobs to run as native Hadoop/YARN applications with GPU support.
- Is TonY open source?
- Yes — tony-framework/TonY is an open-source project tracked on heatdrop.
- What language is TonY written in?
- tony-framework/TonY is primarily written in Java.
- How popular is TonY?
- tony-framework/TonY has 707 stars on GitHub.
- Where can I find TonY?
- tony-framework/TonY is on GitHub at https://github.com/tony-framework/TonY.