Azure Machine Learning vs. DeepSpeed Comparison


Azure Machine Learning Microsoft	DeepSpeed Microsoft	+	+
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About Accelerate the end-to-end machine learning lifecycle with Azure Machine Learning Studio. Empower developers and data scientists with a wide range of productive experiences for building, training, and deploying machine learning models faster. Accelerate time to market and foster team collaboration with industry-leading MLOps—DevOps for machine learning. Innovate on a secure, trusted platform, designed for responsible ML. Productivity for all skill levels, with code-first and drag-and-drop designer, and automated machine learning. Robust MLOps capabilities that integrate with existing DevOps processes and help manage the complete ML lifecycle. Responsible ML capabilities – understand models with interpretability and fairness, protect data with differential privacy and confidential computing, and control the ML lifecycle with audit trials and datasheets. Best-in-class support for open-source frameworks and languages including MLflow, Kubeflow, ONNX, PyTorch, TensorFlow, Python, and R.	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.
Platforms Supported Windows Not Supported Mac Not Supported Linux Not Supported Cloud Supported On-Premises Not 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, AI, and machine learning developers	Audience Deep learning model 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 Not Supported
API Offers API Not Supported	API Offers API Not 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 Free Version Supported Free Trial Not 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 Not Supported Live Online Not Supported In Person Not Supported
Company Information Microsoft Founded: 1975 United States azure.microsoft.com/en-us/products/machine-learning/	Company Information Microsoft Founded: 1975 United States www.deepspeed.ai/
Alternatives Gemini Enterprise Agent Platform Google	Alternatives Horovod
Amazon SageMaker Amazon	Unsloth
Microsoft Foundry Microsoft	GPT-NeoX EleutherAI
TensorFlow	AWS Neuron Amazon Web Services
Huawei Cloud ModelArts Huawei Cloud View All	Amazon SageMaker Model Training Amazon View All
Categories AI Development Supported AI Governance Supported AI Infrastructure Supported Data Labeling Supported Machine Learning Supported ML Experiment Tracking Supported ML Model Deployment Supported ML Model Management Supported	Categories AI Development Supported AI/ML Model Training Supported Deep Learning Supported
Show More Features Data Labeling Features Human-in-the-loop Supported Labeling Automation Supported Labeling Quality Supported Performance Tracking Supported Polygon, Rectangle, Line, Point Supported SDK Supported Supports Audio Files Supported Task Management Supported Team Collaboration Supported Training Data Management Supported Machine Learning Features Deep Learning Not Supported ML Algorithm Library Not Supported Model Training Not Supported Natural Language Processing (NLP) Not Supported Predictive Modeling Supported Statistical / Mathematical Tools Not Supported Templates Not Supported Visualization Not Supported
Integrations APERIO DataWise Supported Axolotl Not Supported Azure Container Registry Supported Azure Database for MariaDB Supported Azure Kinect DK Supported Azure Marketplace Supported Cake AI Not Supported Comet LLM Not Supported Evvox Supported Kedro Supported Microsoft Intelligent Data Platform Supported ModelOp Supported NVIDIA Triton Inference Server Supported Nurix Not Supported Omnisient Supported PyTorch Not Supported Python Not Supported Slingshot Supported Visual Studio Code Supported Wizata Supported Show More Integrations View All 23 Integrations	Integrations APERIO DataWise Not Supported Axolotl Supported Azure Container Registry Not Supported Azure Database for MariaDB Not Supported Azure Kinect DK Not Supported Azure Marketplace Not Supported Cake AI Supported Comet LLM Supported Evvox Not Supported Kedro Not Supported Microsoft Intelligent Data Platform Not Supported ModelOp Not Supported NVIDIA Triton Inference Server Not Supported Nurix Supported Omnisient Not Supported PyTorch Supported Python Supported Slingshot Not Supported Visual Studio Code Not Supported Wizata Not Supported Show More Integrations View All 6 Integrations
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