[go: up one dir, main page]
Jump to content

Horovod (machine learning)

Edit links
From Wikipedia, the free encyclopedia

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

See also

[edit]

References

[edit]
  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.
[edit]
Retrieved from "https://en.wikipedia.org/w/index.php?title=Horovod_(machine_learning)&oldid=1164821576"