Software:Horovod (machine learning)

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Horovod
HorovodLogo.png
Developer(s)Uber
Initial releaseAugust 9, 2017; 7 years ago (2017-08-09)[1]
Stable release
v0.28.1[2] / June 12, 2023; 16 months ago (2023-06-12)
Written inPython, C++, CUDA
PlatformLinux, macOS, Windows
TypeArtificial intelligence ecosystem
LicenseApache License 2.0

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]

See also

References

  1. ↑ Alex Sergeev (9 August 2017). "Release v0.9.0 · horovod/horovod". horovod. https://github.com/horovod/horovod/releases/tag/v0.9.0. "Initial release" 
  2. ↑ "Releases · horovod/horovod". horovod. https://github.com/horovod/horovod/releases. 
  3. ↑ Khari Johnson (13 December 2018). "Uber brings Horovod project for distributed deep learning to Linux Foundation". VentureBeat. https://venturebeat.com/2018/12/13/uber-and-linux-foundation-launch-horovod-project-for-distributed-deep-learning/. 
  4. ↑ "Projects - LF AI". Linux Foundation - LF AI. https://lfai.foundation/projects/. "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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