Accelerate Machine Learning with AI Technologies from Microsoft and Intel
Microsoft* and Intel are working together to boost data and AI capabilities by integrating Intel’s optimized AI software with Microsoft Azure*, Nuance*, ML.NET, and more. This collaboration has led to faster training and inference speeds in machine learning applications that accelerate ML.NET workloads by up to 3x using Intel® oneAPI Data Analytics Library (oneDAL). By using Intel's advanced hardware and software optimizations, the collaboration between Microsoft and Intel is focused on enhancing performance and cost efficiencies within the Microsoft developer (.NET and Azure) communities, particularly in the field of medical innovations on the Azure Machine Learning platform.
Microsoft and Intel are committed to enhancing performance and potentially cutting costs for the AI developer communities.
AI Developer Tools
AI tools from Intel work with the ML.NET framework to accelerate machine learning workflows.
AI Tools
Accelerate end-to-end data science and machine learning pipelines using popular tools based on Python* and frameworks optimized for performance and interoperability.
Documentation
- ML.NET Product Information
- Microsoft.ML.OneDal Release Packages on NuGet
- ML.NET Documentation
- Announcing ML.NET 3.0
- Accelerate ML.NET Training with oneDAL
- ML.NET Model Builder
- oneDAL Product Overview
- oneDAL Available in ML.NET
- Intro to oneDAL and ML.NET
- ML.NET 3.0 Uses oneDAL to Boost Machine Learning Model Training Performance
- Intel and Microsoft Collaborate to Optimize DirectML for Intel® Arc™ Graphics Solutions
- Microsoft Released ML.NET 3.0: Deep Learning and Data Processing Improvements
- Technical and How-to Articles for AI Tools
- one Developer Guide and Reference
Resources
- Azure Product Information
- Azure Portal
- Azure Machine Learning Product Information
- What Is Azure Machine Learning?
- Intel and Azure: Explore Secure, Flexible, and High-Performing Joint Solutions
- Empower Medical Innovations: Intel Accelerates PadChest & fMRIModels on Azure Machine Learning
- A Closer Look at MLOps and Intel® Extension for scikit-learn* within Azure Machine Learning
- End-to-End Azure Machine Learning On-Premises with Intel® Xeon® Platforms
- Azure Machine Learning-Based Federated Learning with Intel Xeon Platforms
- Intel and Microsoft Bring Optimizations to Deep Learning on Azure
- Intel, Microsoft Team Up to Push Data Science to the Edge
- Build Secure, Scalable, and Accelerated Machine Learning Pipelines
- Microsoft Nuance Healthcare AI Solutions and Services
- Nuance Healthcare by the Numbers
- PyTorch* Optimizations from Intel
- Intel® Extension for PyTorch* Documentation
- TensorFlow* Optimizations from Intel
- Intel Extension for scikit-learn Product Overview
- A Comprehensive Guide to the scikit-learn Library and Intel Extension for scikit-learn
Training
- ML.NET Tutorial | Get Started in 10 Minutes
- .NET Conf 2023 - Day 1
- Get Started with AI Tools
- Get Started with oneDAL
- Accelerate Machine Learning and Data Science with oneDAL (Video)
- Natural Language Processing (NLP) Workflow for Azure ML
- A Guide to Optimizing Performance and Saving on the Cost of Your Machine Learning Service – Part 1
- A Guide to Optimizing Performance and Saving on the Cost of Your Machine Learning Service – Part 2
- Enhance and Accelerate Azure Machine Learning Workloads (Webinar)
- An Introduction to Intel® Extension for TensorFlow*
- Intel Extension for TensorFlow (GitHub*)
- Intel Extension for PyTorch for GPUs
- Intel Extension for scikit-learn (GitHub)
Do It Yourself
- ML.NET 3.0.0 Releases (GitHub)
- oneDAL Releases (GitHub)
- AI and Analytics oneAPI Code Samples (GitHub)
- oneDAL Code Samples (GitHub)
- Azure Machine Learning Examples (GitHub)
- Intel Extension for TensorFlow Releases (GitHub)
- Intel Extension for PyTorch Releases (GitHub)
- Intel Extension for Scikit-learn Releases (GitHub)
Product Support
More Resources
AI Machine Learning Portfolio
Explore all Intel® AI content for developers.
AI Tools
Accelerate end-to-end machine learning and data science pipelines with optimized deep learning frameworks and high-performing Python* libraries.
Intel® AI Hardware
The Intel portfolio for AI hardware covers everything from data science workstations to data preprocessing, machine learning and deep learning modeling, and deployment in the data center and at the intelligent edge.