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Apache TVM is a machine learning compilation framework, following the principle of Python-first development and universal deployment. It takes in pre-trained machine learning models, compiles and generates deployable modules that can be embedded and run everywhere.
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About Apache TVM
The vision of the Apache TVM Project is to host a diverse community of experts and practitioners in machine learning, compilers, and systems architecture to build an accessible, flexible, and efficient open-source framework that optimizes current and emerging machine learning models for any hardware platform. TVM provides the following main features:
- Python-first development that enables quick customization of machine learning compiler pipelines.
- Universal deployment to bring models into minimum deployable modules.
Key Features & Capabilities
Performance
Compilation and minimal runtimes commonly unlock ML workloads on existing hardware.
Run Everywhere
From data center GPUs to edge environments.
Flexibility
Flexible design that enables easy customization of compilation pipelines.
Ease of Use
Easy to use python first compiler API that brings universal deployment.
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Community
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© 2024 Apache Software Foundation | All right reserved
- Copyright © 2024 The Apache Software Foundation. Apache TVM, Apache, the Apache feather, and the Apache TVM project logo are either trademarks or registered trademarks of the Apache Software Foundation.