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Introducing Windows ML: The future of machine learning development on Windows

  • Windows ML is a cutting-edge runtime optimized for on-device model inference and deployment on Windows devices.
  • It is designed to support developers in creating AI-infused applications easily, leveraging diverse hardware ecosystems.
  • Windows ML allows developers to target Windows 11 PCs, optimizing model performance and agility with ONNX Runtime Engine.
  • It enables seamless integration with existing models, leveraging partnerships with IHVs like AMD, Intel, NVIDIA, and Qualcomm.
  • AMD, Intel, NVIDIA, and Qualcomm offer support for Windows ML, optimizing performance across various processors.
  • Windows ML simplifies deployment, advanced silicon targeting, enhances performance, and guarantees compatibility with IHV partners.
  • Windows ML Preview includes ML and Runtime APIs for high-level and low-level control of on-device inference.
  • Developers like Adobe, Bufferzone, Filmora, McAfee, Powder, Reincubate, and Topaz Labs have shared positive feedback on Windows ML.
  • Windows ML offers a robust set of tools in AI Toolkit for VS Code for model preparation and simplified deployment.
  • It aims to empower developers to focus on innovation in AI applications without the complexities of infrastructure management.

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