Tech Insights
Horovod

Horovod

Last updated , generated by Sumble
Explore more →

What is Horovod?

Horovod is a distributed deep learning training framework for TensorFlow, Keras, PyTorch, and Apache MXNet. It makes it easy to run distributed training jobs using multiple GPUs or machines, which can significantly reduce training time for large models and datasets. It is commonly used for tasks like image recognition, natural language processing, and recommendation systems where the datasets and model sizes require distributed training.

What other technologies are related to Horovod?

Horovod Competitor Technologies

DeepSpeed is an alternative distributed training framework that competes with Horovod for scaling deep learning training.
mentioned alongside Horovod in 11% (196) of relevant job posts
Ray provides a general-purpose distributed computing framework that can be used for distributed training, offering an alternative to Horovod.
mentioned alongside Horovod in 4% (153) of relevant job posts

Horovod Complementary Technologies

Horovod is built on top of MPI and uses it for inter-node communication. MPI is fundamental to Horovod's distributed training capabilities.
mentioned alongside Horovod in 1% (80) of relevant job posts
PyTorch is a popular deep learning framework that can be used with Horovod for distributed training.
mentioned alongside Horovod in 0% (333) of relevant job posts
Kubeflow can be used to orchestrate and deploy Horovod training jobs on Kubernetes.
mentioned alongside Horovod in 1% (84) of relevant job posts

Which organizations are mentioning Horovod?

Organization
Industry
Matching Teams
Matching People
Horovod
LinkedIn
Scientific and Technical Services
Horovod
Microsoft
Scientific and Technical Services
Horovod
Adobe
Scientific and Technical Services

This tech insight summary was produced by Sumble. We provide rich account intelligence data.

On our web app, we make a lot of our data available for browsing at no cost.

We have two paid products, Sumble Signals and Sumble Enrich, that integrate with your internal sales systems.