DeepSpeed vs. Ray Comparison


DeepSpeed Microsoft	Ray Anyscale	+	+
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About DeepSpeed is an open source deep learning optimization library for PyTorch. It's designed to reduce computing power and memory use, and to train large distributed models with better parallelism on existing computer hardware. DeepSpeed is optimized for low latency, high throughput training. DeepSpeed can train DL models with over a hundred billion parameters on the current generation of GPU clusters. It can also train up to 13 billion parameters in a single GPU. DeepSpeed is developed by Microsoft and aims to offer distributed training for large-scale models. It's built on top of PyTorch, which specializes in data parallelism.	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 Supported Mac Supported Linux 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 Deep learning model developers	Audience ML and AI Engineers, Software Developers
Support Phone Support Not Supported 24/7 Live Support Not Supported Online Not 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 Open source 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 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 Microsoft Founded: 1975 United States www.deepspeed.ai/	Company Information Anyscale Founded: 2019 United States ray.io
Alternatives Horovod	Alternatives Anyscale
Unsloth	Horovod
GPT-NeoX EleutherAI	Determined AI
AWS Neuron Amazon Web Services	Neuralhub
Amazon SageMaker Model Training Amazon View All	Automaton AI View All
Categories AI Development Supported AI/ML Model Training Supported Deep Learning Supported	Categories Deep Learning Supported Machine Learning Supported ML Model Deployment Supported

Integrations PyTorch Supported Python Supported Amazon EC2 Trn2 Instances Not Supported Amazon EKS Not Supported Amazon SageMaker Not Supported Amazon Web Services (AWS) Not Supported Anyscale Not Supported Axolotl Supported Cake AI Supported Databricks Not Supported Feast Not Supported Flyte Not Supported Google Cloud Platform Not Supported Kubernetes Not Supported LanceDB Not Supported MLflow Not Supported Nurix Supported Snowflake Not Supported TensorFlow Not Supported io.net Not Supported Show More Integrations View All 6 Integrations	Integrations PyTorch Supported Python Supported Amazon EC2 Trn2 Instances Supported Amazon EKS Supported Amazon SageMaker Supported Amazon Web Services (AWS) Supported Anyscale Supported Axolotl Not Supported Cake AI Not Supported Databricks Supported Feast Supported Flyte Supported Google Cloud Platform Supported Kubernetes Supported LanceDB Supported MLflow Supported Nurix Not Supported Snowflake Supported TensorFlow Supported io.net Supported Show More Integrations View All 22 Integrations
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