AI on the PC

Create New Usages and Deploy them to Your PC

 
Intel® processorSupercharge your inference-based applications with power-efficient Intel® processors and Intel® Processor Graphics on laptops, 2 in 1s, and desktop computers.

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Intel® Distribution of OpenVINO™ Toolkit

 
This toolkit contains everything you need to optimize and deploy your models for inference. Maximize performance by taking advantage of execution across Intel® processors with Intel® Graphics Technology and accelerators such as the Intel® Movidius™ Neural Compute Stick. Now available for Linux* and Windows® 10 (64 bit) operating systems.

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Windows Machine Learning

The Windows 10 operating system provides an Open Neural Network Exchange* (ONNX) format interface to add trained deep learning models into the Windows environment. Accelerate inference on the available hardware resources on your PC platform using Windows Machine Learning.

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Apple* Machine Learning

The Core ML* framework from Apple* helps accelerate domain-specific machine learning capabilities, such as image analysis, object detection, and natural language processing. Core ML allows you to take advantage of Intel® processors and Intel® Processor Graphics Architecture to build and run machine learning workloads on the device.

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Compatible Hardware

Intel® Processors

Accelerate your deep learning work with this efficient compute solution. Get access to these hardware resources with the Intel® Deep Learning Deployment Toolkit (available with the Intel® Distribution of OpenVINO™ toolkit) to deliver your AI-enabled products to market.

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Intel® Graphics Technology

Available inside many Intel-based PCs, Intel Graphics Technology offers immediate access to powerful acceleration of your most challenging inference workloads. This technology also powers the Intel® Distribution of OpenVINO™ toolkit to deliver efficient GPU acceleration.

How We Accelerated Deep Learning Inference

Intel® Movidius™ Vision Processing Unit (VPU)

This unit enables visual intelligence at a high compute per watt, and supports camera processing, computer vision, and deep learning inference. It is ideal for autonomous service robots, drones, smart IP cameras, digital security and surveillance, smart home, wearables, and more.

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