Software:Horovod (machine learning)

Horovod
Developer(s)	Uber
Initial release	August 9, 2017; 6 years ago
Stable release	v0.28.1 / June 12, 2023; 8 months ago
Written in	Python, C++, CUDA
Platform	Linux, macOS, Windows
Type	Artificial intelligence ecosystem
License	Apache 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]

References

↑ Alex Sergeev (9 August 2017). "Release v0.9.0 · horovod/horovod". horovod. https://github.com/horovod/horovod/releases/tag/v0.9.0. "Initial release"
↑ "Releases · horovod/horovod". horovod. https://github.com/horovod/horovod/releases.
↑ 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/.
↑ "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."

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