Horovod (machine learning)

{{Use mdy dates|date=November 2017}}

{{Infobox software

| name = Horovod

| logo = HorovodLogo.png

| author =

| developer = Uber

| released = {{Start date and age|2017|08|09}}{{Cite web |title=Release v0.9.0 · horovod/horovod |author=Alex Sergeev |work=horovod |date=9 August 2017 |access-date=9 July 2020 |url= https://github.com/horovod/horovod/releases/tag/v0.9.0 |quote=Initial release }}

| latest release version = v0.28.1{{Cite web |title=Releases · horovod/horovod |work=horovod |access-date=11 July 2023 |url= https://github.com/horovod/horovod/releases}}

| latest release date = {{Start date and age|2023|06|12}}

| programming language = Python, C++, CUDA

| platform = Linux, macOS, Windows

| genre = 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).{{Cite web |title=Uber brings Horovod project for distributed deep learning to Linux Foundation |author=Khari Johnson |work=VentureBeat |date=13 December 2018 |access-date=9 July 2020 |url= https://venturebeat.com/2018/12/13/uber-and-linux-foundation-launch-horovod-project-for-distributed-deep-learning/}} Horovod has the goal of improving the speed, scale, and resource allocation when training a machine learning model.{{Cite web |title=Projects - LF AI |author= |work=Linux Foundation - LF AI |date= |access-date=9 July 2020 |url= https://lfai.foundation/projects/ |quote=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. }}