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About

Horovod was originally developed by Uber to make distributed deep learning fast and easy to use, bringing model training time down from days and weeks to hours and minutes. With Horovod, an existing training script can be scaled up to run on hundreds of GPUs in just a few lines of Python code. Horovod can be installed on-premise or run out-of-the-box in cloud platforms, including AWS, Azure, and Databricks. Horovod can additionally run on top of Apache Spark, making it possible to unify data processing and model training into a single pipeline. Once Horovod has been configured, the same infrastructure can be used to train models with any framework, making it easy to switch between TensorFlow, PyTorch, MXNet, and future frameworks as machine learning tech stacks continue to evolve.

About

Transition seamlessly between eager and graph modes with TorchScript, and accelerate the path to production with TorchServe. Scalable distributed training and performance optimization in research and production is enabled by the torch-distributed backend. A rich ecosystem of tools and libraries extends PyTorch and supports development in computer vision, NLP and more. PyTorch is well supported on major cloud platforms, providing frictionless development and easy scaling. Select your preferences and run the install command. Stable represents the most currently tested and supported version of PyTorch. This should be suitable for many users. Preview is available if you want the latest, not fully tested and supported, 1.10 builds that are generated nightly. Please ensure that you have met the prerequisites (e.g., numpy), depending on your package manager. Anaconda is our recommended package manager since it installs all dependencies.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Developers in need of a powerful Development Framework solution

Audience

Researchers in need of an open source machine learning solution to accelerate research prototyping and production deployment

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Horovod
horovod.ai/

Company Information

PyTorch
Founded: 2016
pytorch.org

Alternatives

Alternatives

AWS Neuron

AWS Neuron

Amazon Web Services
Core ML

Core ML

Apple
Create ML

Create ML

Apple
DeepSpeed

DeepSpeed

Microsoft
DeepSpeed

DeepSpeed

Microsoft
AWS Neuron

AWS Neuron

Amazon Web Services

Categories

Categories

Integrations

Amazon Web Services (AWS)
Flyte
Microsoft Azure
Amazon EC2 P4 Instances
Amazon SageMaker Unified Studio
Apolo
Comet
Exafunction
Horovod
Huawei Cloud ModelArts
JFrog ML
Label Studio
NVIDIA FLARE
NVIDIA NGC
NeevCloud
Segments.ai
TorchMetrics
Voxel51
zymtrace

Integrations

Amazon Web Services (AWS)
Flyte
Microsoft Azure
Amazon EC2 P4 Instances
Amazon SageMaker Unified Studio
Apolo
Comet
Exafunction
Horovod
Huawei Cloud ModelArts
JFrog ML
Label Studio
NVIDIA FLARE
NVIDIA NGC
NeevCloud
Segments.ai
TorchMetrics
Voxel51
zymtrace
Claim Horovod and update features and information
Claim Horovod and update features and information
Claim PyTorch and update features and information
Claim PyTorch and update features and information