microsoft/DirectML

Health v2 · maintenance only

Adoption not part of the score

2580 stars · 339 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

DirectML is a high-performance, hardware-accelerated DirectX 12 library for machine learning that provides GPU acceleration across DirectX 12-capable GPUs from AMD, Intel, NVIDIA, and Qualcomm. It is now in maintenance mode, with Microsoft recommending Windows ML for Windows 11 24H2 and later.

Use cases

• run machine learning models with GPU acceleration on any DirectX 12 GPU
• accelerate inference in games and real-time applications on Windows
• execute ONNX models on Windows GPUs without vendor-specific SDKs
• use PyTorch or TensorFlow with a DirectX 12 backend
• build low-latency ML features into Windows desktop applications
• run ML workloads across AMD, Intel, NVIDIA, and Qualcomm GPUs with one API

When to choose

• you need GPU-accelerated ML on Windows across heterogeneous GPU vendors
• you target older Windows 10/11 releases where DirectML ships as an OS component
• you want low-overhead DirectX 12 interoperability in games or real-time apps

When to avoid

• you target Windows 11 24H2 or later and can use Windows ML instead
• you need new features or active development, since DirectML is in maintenance mode
• you develop primarily on Linux or macOS

Facets

library · maturity maintenance

machine-learning gpu-computing llm-inference machine-learning gpu-computing windows windows cpp directx-12 gpu-acceleration onnx-runtime pytorch tensorflow microsoft gpu

Member repositories

For agents

markdown · JSON · MCP: product_card(name="microsoft/DirectML")