Azure Data Science Virtual Machines vs. Azure Machine Learning Comparison


Azure Data Science Virtual Machines Microsoft	Azure Machine Learning Microsoft	+	+
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About DSVMs are Azure Virtual Machine images, pre-installed, configured and tested with several popular tools that are commonly used for data analytics, machine learning and AI training. Consistent setup across team, promote sharing and collaboration, Azure scale and management, Near-Zero Setup, full cloud-based desktop for data science. Quick, Low friction startup for one to many classroom scenarios and online courses. Ability to run analytics on all Azure hardware configurations with vertical and horizontal scaling. Pay only for what you use, when you use it. Readily available GPU clusters with Deep Learning tools already pre-configured. Examples, templates and sample notebooks built or tested by Microsoft are provided on the VMs to enable easy onboarding to the various tools and capabilities such as Neural Networks (PYTorch, Tensorflow, etc.), Data Wrangling, R, Python, Julia, and SQL Server.	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.
Platforms Supported Windows Supported Mac Not Supported Linux Supported Cloud Supported On-Premises Not Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported	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
Audience Companies and enterprises looking for apre-configured virtual machine solution for data science modelling, development and deployment	Audience Data scientists, AI, and machine learning 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 Not Supported
Screenshots and Videos View more images or videos	Screenshots and Videos View more images or videos
Pricing $0.005 Free Version Supported Free Trial Supported	Pricing No information available. Free Version Not Supported Free Trial Supported
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Training Documentation Supported Webinars Not Supported Live Online Supported In Person 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/services/virtual-machines/data-science-virtual-machines/	Company Information Microsoft Founded: 1975 United States azure.microsoft.com/en-us/products/machine-learning/
Alternatives Posit	Alternatives Gemini Enterprise Agent Platform Google
Google Cloud Deep Learning VM Image Google	Amazon SageMaker Amazon
AWS Deep Learning AMIs Amazon	Microsoft Foundry Microsoft
Azure Machine Learning Microsoft	TensorFlow
Azure Synapse Analytics Microsoft View All	Huawei Cloud ModelArts Huawei Cloud View All
Categories AI Infrastructure Supported Data Science Supported	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
	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 Azure Marketplace Supported MLflow Supported Microsoft Azure Supported APERIO DataWise Not Supported Apache Spark Supported Azure AI Search Not Supported Azure Blob Storage Supported Azure Container Registry Not Supported Cranium Not Supported Evvox Not Supported Jupyter Notebook Supported Microsoft 365 Supported Microsoft Intelligent Data Platform Not Supported Microsoft Power BI Supported Omnisient Not Supported Slingshot Not Supported Superwise Not Supported TensorFlow Supported VMware Cloud Supported Visual Studio Code Not Supported Show More Integrations View All 17 Integrations	Integrations Azure Marketplace Supported MLflow Supported Microsoft Azure Supported APERIO DataWise Supported Apache Spark Not Supported Azure AI Search Supported Azure Blob Storage Not Supported Azure Container Registry Supported Cranium Supported Evvox Supported Jupyter Notebook Not Supported Microsoft 365 Not Supported Microsoft Intelligent Data Platform Supported Microsoft Power BI Not Supported Omnisient Supported Slingshot Supported Superwise Supported TensorFlow Not Supported VMware Cloud Not Supported Visual Studio Code Supported Show More Integrations View All 23 Integrations
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