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@@ -70,13 +70,17 @@ A transformer-based model trained on large corpora to understand and generate na
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"Managed" refers to the "managed runtime" of .NET, which provides managed services such as garbage collection and security assurances. If you're building an app with .NET, you're building a managed app.
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#### MCP Servers
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MCP is an open protocol designed to standardize integrations between AI apps and external tools and data sources. [Model Context Protocol (MCP) Servers](/windows/ai/mcp/overview).
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#### Microsoft Foundation Classes (MFC)
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You can use Microsoft Foundation Classes (MFC) to create complex user interfaces with multiple controls. You can use MFC to create applications with Office-style user interfaces. See: [MFC desktop applications](/cpp/mfc/mfc-desktop-applications).
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#### Microsoft Foundry
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A managed platform for building, evaluating, and deploying generative AI applications with foundation models. Formerly Azure AI Foundry. See [Azure AI Foundry documentation](/azure/ai-foundry/).
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A managed platform for building, evaluating, and deploying generative AI applications with foundation models. Formerly Azure AI Foundry. See [Microsoft Foundry documentation](/azure/ai-foundry/).
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#### MSIX (Microsoft Installer package format)
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#### Neural Processing Unit (NPU)
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A dedicated on‑device AI accelerator optimized for transformer operations and other ML workloads. Windows apps can target NPUs via APIs like [DirectML](/windows/ai/directml/dml-intro).
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A dedicated on‑device AI accelerator optimized for transformer operations and other ML workloads. Windows apps can target NPUs via APIs included as part of [Foundry Local](/windows/ai/foundry-local/get-started).
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#### ONNX Runtime (ORT)
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A high‑performance, cross‑platform inference engine for models in the ONNX format. On Windows, ORT commonly uses the DirectML execution provider for GPU/NPU acceleration. See [ONNX Runtime documentation](https://onnxruntime.ai/docs/). WindowsML uses ONNX Runtime under the hood.
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A high‑performance, cross‑platform inference engine for models in the ONNX format. See [Run ONNX models](/windows/ai/new-windows-ml/run-onnx-models).
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#### Packaged app
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#### Windows ML
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Windows APIs for running ONNX models locally in Windows apps, with hardware acceleration via DirectML where it's available. See [Windows ML](/windows/ai/windows-ml/).
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Windows APIs for running ONNX models locally in Windows apps, with hardware acceleration via DirectML where it's available. See [Windows ML](/windows/ai/new-windows-ml/).
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