DirectML shared some exciting announcements at Build this year! We demonstrated a few awesome demos and highlighted new capabilities during the Windows AI Breakout session, Deliver AI-powered experiences across cloud and edge, with Windows. We are also excited to announce the launch of our new product landing page! This new product page provides...

Are you ready to revolutionize the way you optimize your AI models? Say hello to Olive (ONNX Live), the advanced model optimization tool that integrates seamlessly with DirectML for hardware acceleration across the breadth of the Windows ecosystem.  With Olive, you can easily incorporate cutting-edge techniques like model compression, optimizati...

The latest release of PyTorch with DirectML is available today! This release brings support for training popular Transformer Models like GPT2, BERT, and Detection Transformers. To get started with training Transformer Models using PyTorch with DirectML, you can find a new sample on the DirectML GitHub. The sample covers training a PyTorch implement...

The Windows AI Platform is excited to announce the Third Preview release of PyTorch-DirectML; a hardware accelerated backend for training PyTorch models on any DirectX12 GPU on Windows and the Windows Subsystem for Linux (WSL). This preview release includes expanded support for computer vision models from the Torchvision library. On the DirectML...

A few months ago, we released the first preview of PyTorch-DirectML: a hardware accelerated backend for training PyTorch models on any DirectX12 GPU on Windows and the Windows Subsystem for Linux (WSL). Today, we are releasing the Second Preview with significant performance improvements and greater coverage for computer vision models. PyTorch-Di...

The Windows AI team is excited to announce the first preview of DirectML as a backend to PyTorch for training ML models! This release is our first step towards unlocking accelerated machine learning training for PyTorch on any DirectX12 GPU on Windows and the Windows Subsystem for Linux (WSL). In order for you to take advantage of DirectML withi...

Learn how to train an image classification model with ML.NET Model Builder and then inference with Windows Machine Learning in a UWP application.

Learn about the easiest way to get GPU acceleration for Jupyter Notebooks on Windows 10 and WSL.