LF AI foundation announces graduation of horovod project


LF AI foundation announces graduation of horovod project

The LF AI foundation is building an ecosystem to support open source innovation in areas such as artificial intelligence (AI), machine learning (ML) and deep learning (DL). The foundation announced today that the hosted horovod project is upgrading from incubation to graduation. This graduation is the result of horovod’s vigorous adoption, continuous contribution streams from multiple organizations, and a documented and structured open governance process. Horovod also received the core infrastructure initiative best practices badge and demonstrated a strong commitment to the community.

As an incubation project, horovod uses various enabling services of LF AI foundation to promote its growth and adoption, including project management support, activity coordination, legal services and marketing services, ranging from website creation to project promotion.

Horovod is a distributed training framework for tensorflow, keras and pytorch, which improves the speed, scale and resource allocation of machine learning training activities. The project was opened by Uber, the founder of the project, and joined lf AI as an incubation project in December 2018.

“Horovod’s journey from incubation to graduation is very impressive,” said Dr. Ibrahim Haddad, executive director of the LF AI foundation. “The speed of its development, the growth of the community and its widespread adoption are of particular concern. Horovod has surpassed all of our graduation criteria and we are proud to be its hosting foundation and support them in many services. As a graduation project, our support for horovod will continue to increase as needed. This graduation is our way to demonstrate horovod, an advanced, mature, open source technology for large-scale deployment. Congratulations to horovod

Horovod will be used in automatic driving, fraud detection and travel forecasting. Alibaba, Amazon and NVIDIA are also using it. Project contributors outside Uber include Amazon, IBM, Intel and NVIDIA.

“Since joining lfai, horovod has developed into an industry standard for large-scale training of deep neural networks on each framework and platform.” Travis addair, technical director of the horovod project, said: “it is a great honor for me to work with and learn from many of horovod’s outstanding contributors in the deep learning community. This graduation is an important milestone of the horovod project, and also an affirmation of the efforts and cooperation of our contributors for the success of the project. As a graduation project, I look forward to further expanding the scope of our community and working towards the goal of making deep learning training simple, intuitive and large-scale. “

2020 characteristic Roadmap

  • Elastic Training / Fault Tolerance
  • Horovod on Ray + Ray Tune Integration
  • Ludwig + Horovod Spark Estimator integration
  • TensorFlow / General Horovod Spark Estimator
  • MXNet Horovod Spark Estimator (Amazon)
  • Horovod Plugin Architecture (NVIDIA)
  • Horovod Spark Dynamic GPU Allocation (NVIDIA)

Want to know how horovod makes your model training faster and more scalable?Now try this framework。 Please be sure to joinHorovod AnnounceandHorovod Technical-DiscussMailing list to join the community and keep up to date.

Congratulations to the horovod team and we look forward to continued growth and success as part of the LF AI foundation! To learn about hosting an open source project with us,Please visit the LF AI foundation website

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LF AI foundation announces graduation of horovod project

LF AI is an umbrella foundation of Linux foundation, which supports open source innovation of artificial intelligence, machine learning and deep learning. LF AI was created to support open source AI, ML and DL, and to create a sustainable open source AI ecosystem to make it easy to create AI products and services using open source technologies. We encourage collaboration in a neutral environment with open governance to support coordination and acceleration of open source technology projects.

Linux foundation is a non-profit organization and an important part of technology ecosystem.
The Linux foundation supports the creation of a sustainable open source ecosystem by providing financial and intellectual resources, infrastructure, services, activities, and training. In the creation of shared technology, the Linux foundation and its projects have formed an extraordinary successful investment through joint efforts. Scanning two-dimensional code concerns LFAPAC WeChat official account.
LF AI foundation announces graduation of horovod project