Horovod vs. Ray Comparison


Horovod	Ray Anyscale	+	+
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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 Develop on your laptop and then scale the same Python code elastically across hundreds of nodes or GPUs on any cloud, with no changes. Ray translates existing Python concepts to the distributed setting, allowing any serial application to be easily parallelized with minimal code changes. Easily scale compute-heavy machine learning workloads like deep learning, model serving, and hyperparameter tuning with a strong ecosystem of distributed libraries. Scale existing workloads (for eg. Pytorch) on Ray with minimal effort by tapping into integrations. Native Ray libraries, such as Ray Tune and Ray Serve, lower the effort to scale the most compute-intensive machine learning workloads, such as hyperparameter tuning, training deep learning models, and reinforcement learning. For example, get started with distributed hyperparameter tuning in just 10 lines of code. Creating distributed apps is hard. Ray handles all aspects of distributed execution.
Platforms Supported Windows Not Supported Mac Not Supported Linux Not Supported Cloud Supported On-Premises Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported	Platforms Supported Windows Supported Mac Supported Linux Supported Cloud Supported On-Premises Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported
Audience Developers in need of a powerful Development Framework solution	Audience ML and AI Engineers, Software Developers
Support Phone Support Not Supported 24/7 Live Support Not Supported Online Supported	Support Phone Support Not Supported 24/7 Live Support Not Supported Online Supported
API Offers API Not Supported	API Offers API Supported
Screenshots and Videos View more images or videos	Screenshots and Videos View more images or videos
Pricing Free Free Version Supported Free Trial Not Supported	Pricing Free Open source. Consumption-based. Free Version Supported Free Trial Supported
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 Not Supported Webinars Not Supported Live Online Not Supported In Person Not Supported	Training Documentation Supported Webinars Supported Live Online Supported In Person Supported
Company Information Horovod horovod.ai/	Company Information Anyscale Founded: 2019 United States ray.io
Alternatives AWS Deep Learning AMIs Amazon	Alternatives Anyscale
AWS Neuron Amazon Web Services	Horovod
Fabric for Deep Learning (FfDL) IBM	Determined AI
DeepSpeed Microsoft	Neuralhub
Google Cloud Deep Learning VM Image Google View All	Automaton AI View All
Categories AI/ML Model Training Supported Deep Learning Supported Development Frameworks Supported	Categories Deep Learning Supported Machine Learning Supported ML Model Deployment Supported

Integrations Amazon Web Services (AWS) Supported Flyte Supported PyTorch Supported Python Supported TensorFlow Supported Amazon EC2 Trn2 Instances Not Supported Amazon EKS Not Supported Amazon SageMaker Not Supported Anyscale Not Supported Apache Airflow Not Supported Azure Databricks Supported Azure Kubernetes Service (AKS) Not Supported Databricks Not Supported Feast Not Supported Google Kubernetes Engine (GKE) Not Supported Keras Supported MLflow Not Supported MXNet Supported Microsoft Azure Supported Show More Integrations View All 10 Integrations	Integrations Amazon Web Services (AWS) Supported Flyte Supported PyTorch Supported Python Supported TensorFlow Supported Amazon EC2 Trn2 Instances Supported Amazon EKS Supported Amazon SageMaker Supported Anyscale Supported Apache Airflow Supported Azure Databricks Not Supported Azure Kubernetes Service (AKS) Supported Databricks Supported Feast Supported Google Kubernetes Engine (GKE) Supported Keras Not Supported MLflow Supported MXNet Not Supported Microsoft Azure Not Supported Show More Integrations View All 22 Integrations
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