Horovod (machine learning)

Last updated

Horovod
Developer(s) Uber
Initial releaseAugust 9, 2017;7 years ago (2017-08-09) [1]
Stable release
v0.28.1 [2] / June 12, 2023;2 years ago (2023-06-12)
Written in Python, C++, CUDA
Platform Linux, macOS, Windows
Type Artificial intelligence ecosystem
License Apache License 2.0
Website horovod.ai   OOjs UI icon edit-ltr-progressive.svg

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). [3] Horovod has the goal of improving the speed, scale, and resource allocation when training a machine learning model. [4]

Contents

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.


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