Shypd.aiThe largest open index of AI toolsTonY is an AI Frameworks & Infra tool that natively runs deep learning frameworks on Apache Hadoop. It supports TensorFlow, PyTorch, MXNet, and Horovod for both single-node and distributed training.
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TonY is an open-source framework designed to natively execute deep learning frameworks such as TensorFlow, PyTorch, MXNet, and Horovod on Apache Hadoop. It enables users to run both single-node and distributed training jobs as a Hadoop application, providing a robust and flexible environment for machine learning workflows. Key features include compatibility with Hadoop 2.6.0+ (CDH5.11.0+) and support for GPU isolation with newer Hadoop versions. Users can launch deep learning jobs either by utilizing a zipped Python virtual environment or by leveraging Docker containers within their Hadoop cluster. TonY offers extensive configuration options via XML files or command-line arguments, allowing for fine-grained control over job parameters like worker instances, memory, and GPU allocation. It also includes examples for distributed MNIST with various frameworks and integration with Google Cloud Platform and Azkaban.
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