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execution providers
About this tag
Execution providers are vendor-specific runtime components that enable on-device AI inference on Windows by allowing ONNX-based models to offload computation to specialized hardware such as CPUs, GPUs, and NPUs. Microsoft delivers these execution providers as modular updates through Windows Update, with examples including NVIDIA TensorRT-RTX Execution Provider for RTX PCs and AMD Vitis AI Execution Provider for Ryzen AI and Copilot+ devices. These components are integral to Windows ML, Microsoft's system-managed inference runtime, which automatically selects the appropriate execution provider for the available hardware. Keeping execution providers updated ensures optimal performance and compatibility for AI features on Windows 11.
Microsoft has published KB5096136, an automatic Windows Update package for Windows 11 version 26H1 devices that updates the AMD Vitis AI Execution Provider to version 2.2605.2.0, replacing April’s KB5089175 and appearing in Update history as a Windows Runtime ML AMD NPU Execution Provider...
ai execution provider
amd vitis ai
executionproviders
kb5096134
migraphx execution provider
onnx runtime
onnx runtime acceleration
windows 11
windows 11 24h2
windows 11 26h1
windows ml
windows ml execution provider
windows update
windows update ai
Microsoft has published KB5096137, an automatic Windows Update package that updates the Qualcomm QNN Execution Provider to version 2.2605.2.0 for Windows 11, version 26H1 devices with the latest cumulative update installed. It is a small-sounding component refresh with an outsized strategic...
ai acceleration
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ai pc
amd vitis ai
copilot+ pcs
executionproviders
local ai
onnx runtime
phi silica
qualcomm ai
qualcomm qnn
qualcomm snapdragon x
windows 11
windows 11 24h2
windows ml
windows on arm
windows update
Microsoft has quietly pushed KB5079257 — a Windows Update component that installs NVIDIA TensorRT‑RTX Execution Provider (EP) version 1.8.24.0 — to eligible Windows 11 devices, advancing Microsoft’s modular on‑device AI strategy by updating the runtime layer that delivers GPU‑accelerated...
Microsoft has quietly published a targeted component update for AMD’s on‑device AI stack — the Vitis AI Execution Provider has been refreshed to version 1.8.50.0 and is being delivered through Windows Update for eligible Windows 11 devices.
Background / Overview
Vitis AI is AMD’s development...
Microsoft is quietly turning parts of Windows into a modular on‑device AI platform, and the mechanism it uses — Execution Provider (EP) components — demands that anyone who builds, manages, or relies on AI features on Windows treat those components as first‑class, versioned runtime dependencies...
Microsoft has issued a targeted component update for AMD’s on‑device AI stack — KB5070605, which bumps the Vitis AI Execution Provider to version 1.8.26.0 for Windows 11 (version 24H2 and 25H2) devices. The public-facing note accompanying the package is short: the update “includes improvements”...
Microsoft has quietly pushed KB5068002, a targeted Windows Update that refreshes the AMD Vitis AI Execution Provider to version 1.8.25.0 for eligible Copilot+ PCs running Windows 11, version 24H2, delivering a compact—but consequential—component update for on‑device AI acceleration. Background /...
Microsoft has made Windows ML generally available, delivering a built-in, on-device AI inference runtime for Windows 11 that aims to let developers run ONNX models across CPUs, GPUs and NPUs without requiring cloud trips for every inference.
Background: why this release matters
Windows ML...
Microsoft’s push to make on-device AI a first-class citizen on Windows hit a significant milestone with the general availability of Windows ML, a system-managed inferencing runtime designed to make it dramatically easier for developers to ship AI features that run efficiently across CPUs, GPUs...
Microsoft has opened the door for AI features to run natively across Windows PCs with the general availability of Windows ML, a system-managed ONNX Runtime and hardware abstraction layer that lets developers ship AI-enabled apps without bundling vendor runtimes or hand-tuning builds for every...
Microsoft’s Windows ML platform has moved out of preview and into general availability, positioning Windows 11 as a mainstream host for local, on-device AI inference and giving developers a managed, system-level inference runtime that automatically leverages the best silicon on a PC — CPU, GPU...
Windows ML’s arrival in general availability marks a major inflection point for on-device AI on Windows: Microsoft is shipping a system-managed, ONNX Runtime–based inference runtime that abstracts diverse PC silicon, automates vendor execution-provider distribution, and is positioned as the...
Microsoft’s push to make on-device AI a first-class citizen on Windows reached a major milestone this week: Windows ML is now generally available for developers, delivering a production-ready inference runtime, a managed execution-provider ecosystem, and a set of developer tools designed to make...
Intel and Microsoft’s move to fold a dedicated Vision Processing Unit into Windows’ on-device ML story is not a product tweak — it is an architectural shift that changes where and how many Windows AI experiences will run, who will pay the power bill, and how developers will ship intelligent apps...
ai in windows
ai inference
cross-vendor interoperability
developer tools
edge
energy efficiency
executionproviders
hardware acceleration
intel movidius
latency optimization
movidius
myriad x
on-device ai
onnx
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vision processing unit
vpu
windows 10
windows ml