Huawei Cloud ModelArts vs. Ray Comparison


Huawei Cloud ModelArts Huawei Cloud	Ray Anyscale	+	+
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About ModelArts is a comprehensive AI development platform provided by Huawei Cloud, designed to streamline the entire AI workflow for developers and data scientists. It offers a full-lifecycle toolchain that includes data preprocessing, semi-automated data labeling, distributed training, automated model building, and flexible deployment options across cloud, edge, and on-premises environments. It supports popular open source AI frameworks such as TensorFlow, PyTorch, and MindSpore, and allows for the integration of custom algorithms tailored to specific needs. ModelArts features an end-to-end development pipeline that enhances collaboration across DataOps, MLOps, and DevOps, boosting development efficiency by up to 50%. It provides cost-effective AI computing resources with diverse specifications, enabling large-scale distributed training and inference acceleration.	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 Data scientists wanting a platform to build, train, and deploy machine learning models across various environments, leveraging scalable computing resources and integrated development tools	Audience ML and AI Engineers, Software Developers
Support Phone Support Supported 24/7 Live Support 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 No information available. Free Version Not Supported Free Trial 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 Supported Webinars Supported Live Online Not Supported In Person Supported	Training Documentation Supported Webinars Supported Live Online Supported In Person Supported
Company Information Huawei Cloud Founded: 1987 China www.huaweicloud.com/intl/en-us/product/modelarts.html	Company Information Anyscale Founded: 2019 United States ray.io
Alternatives AWS Neuron Amazon Web Services	Alternatives Anyscale
Azure Machine Learning Microsoft	Horovod
NVIDIA Triton Inference Server NVIDIA	Determined AI
Intel Tiber AI Cloud Intel	Neuralhub
TensorFlow View All	Automaton AI View All
Categories AI Infrastructure Supported AI/ML Model Training Supported Machine Learning Supported ML Model Deployment Supported	Categories Deep Learning Supported Machine Learning Supported ML Model Deployment Supported

Integrations PyTorch Supported TensorFlow Supported Amazon EC2 Trn2 Instances Not Supported Amazon EKS Not Supported Amazon SageMaker Not Supported Anyscale Not Supported Apache Airflow Not Supported Ascend Cloud Service Supported Azure Kubernetes Service (AKS) Not Supported Dask Not Supported Databricks Not Supported Feast Not Supported Flyte Not Supported Google Cloud Platform Not Supported Google Kubernetes Engine (GKE) Not Supported Kubernetes Not Supported MLflow Not Supported MindSpore Supported Python Not Supported Union Cloud Not Supported Show More Integrations View All 4 Integrations	Integrations PyTorch Supported TensorFlow Supported Amazon EC2 Trn2 Instances Supported Amazon EKS Supported Amazon SageMaker Supported Anyscale Supported Apache Airflow Supported Ascend Cloud Service Not Supported Azure Kubernetes Service (AKS) Supported Dask Supported Databricks Supported Feast Supported Flyte Supported Google Cloud Platform Supported Google Kubernetes Engine (GKE) Supported Kubernetes Supported MLflow Supported MindSpore Not Supported Python Supported Union Cloud Supported Show More Integrations View All 22 Integrations
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