We are thrilled to announce our collaboration with Intel®, one of our key partners, to bring the first Neural Processing Unit (NPU) powered by DirectML on Windows. AI is transforming the world, driving innovation, and creating value across industries. NPUs are critical components in enabling amazing AI experiences for developers and consumers ...
Last October we announced our generally consumable DirectML backend for TensorFlow 1.15. Since then, our team worked to bring machine learning training acceleration to TensorFlow 2. Today, we are happy to announce the release of our DirectML PluggableDevice preview package for TensorFlow on PyPI. Alongside our release, we are excited to announce ...
Learn how the Windows ML API can be used to create powerful ML experiences on Windows through the Windows ML Samples Gallery.
Support for GPU accelerated machine learning (ML) training within the Windows Subsystem for Linux (WSL) is now broadly available with the release of Windows 11. Read on for more details about using WSL with your existing ML workflows.
Learn about the first generally consumable package of TensorFlow-DirectML. TensorFlow-DirectML improves the experience and performance of model training through GPU acceleration on the breadth of Windows devices by working across different hardware vendors and supporting the needs of students’ and professionals’ workflows.
Windows ML NuGet package 1.8.0 is now available! Take a look to review our new features and optimization work for Windows ML APIs and DirectML EP.
Learn about the easiest way to get GPU acceleration for Jupyter Notebooks on Windows 10 and WSL.
