Horovod
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Explore more → **Horovod**
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
DeepSpeed is an alternative distributed training framework that competes with Horovod for scaling deep learning training.
Ray
Ray provides a general-purpose distributed computing framework that can be used for distributed training, offering an alternative to Horovod.
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Horovod Complementary Technologies
MPI
Horovod is built on top of MPI and uses it for inter-node communication. MPI is fundamental to Horovod's distributed training capabilities.
PyTorch
PyTorch is a popular deep learning framework that can be used with Horovod for distributed training.
Kubeflow
Kubeflow can be used to orchestrate and deploy Horovod training jobs on Kubernetes.
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Which job functions commonly mention Horovod?
Machine Learning
0.1% of all Machine Learning jobs mention Horovod
View 140
jobs on Sumble
AI Engineer
0.1% of all AI Engineer jobs mention Horovod
View 111
jobs on Sumble
Applied Scientist
0.1% of all Applied Scientist jobs mention Horovod
View 9
jobs on Sumble
MLOps Engineer
0.1% of all MLOps Engineer jobs mention Horovod
View 6
jobs on Sumble
Data Scientist
47 Data Scientist jobs mention Horovod
View 47
jobs on Sumble
Which organizations are mentioning Horovod?
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