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Horovod (machine learning)

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Horovod
Developer(s)Uber
Initial releaseAugust 9, 2017; 7 years ago (2017-08-09)
Stable releasev0.28.1 / June 12, 2023; 18 months ago (2023-06-12)
Written inPython, C++, CUDA
PlatformLinux, macOS, Windows
TypeArtificial intelligence ecosystem
LicenseApache License 2.0
Websitehorovod.ai Edit this on Wikidata

Horovod is a free and open-source software framework for distributed deep learning training using TensorFlow, Keras, PyTorch, and Apache MXNet. Horovod is hosted under the Linux Foundation AI (LF AI). Horovod has the goal of improving the speed, scale, and resource allocation when training a machine learning model.

See also

References

  1. Alex Sergeev (August 9, 2017). "Release v0.9.0 · horovod/horovod". horovod. Retrieved July 9, 2020. Initial release
  2. "Releases · horovod/horovod". horovod. Retrieved July 11, 2023.
  3. Khari Johnson (December 13, 2018). "Uber brings Horovod project for distributed deep learning to Linux Foundation". VentureBeat. Retrieved July 9, 2020.
  4. "Projects - LF AI". Linux Foundation - LF AI. Retrieved July 9, 2020. Horovod, a distributed training framework for TensorFlow, Keras and PyTorch, improves speed, scale and resource allocation in machine learning training activities. Uber uses Horovod for self-driving vehicles, fraud detection, and trip forecasting. It is also being used by Alibaba, Amazon and NVIDIA.

External links

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