Hardware

From hardware that excels at training massive, unstructured data sets, to extreme low-power silicon for on-device inference, Intel AI supports cloud service providers, enterprises and research teams with a portfolio of multi-purpose, purpose-built, customizable and application-specific hardware that turn model into reality.
Intel® Xeon® Scalable Processor

Intel® Xeon® Scalable processors are the first generation of our platform built specifically to run high-performance AI workloads—alongside the cloud and HPC workloads they already run.

Intel® FPGAs

Intel® field programmable gate arrays (FPGAs) are blank, modifiable canvases. Their purpose and power can be easily adapted again and again for any number of workloads and a wide range of structured and unstructured data types.

Intel® Movidius™ Vision Processing Units (VPUs)

The Intel® Movidius™ Myriad™ VPUs offer industry leading performance per watt for demanding AI inference workloads on edge devices. These system-on-chips (SoC) are designed specifically for on-device advanced computer vision and neural network applications.

Intel® Nervana™ NNP

The Intel® Nervana™ Neural Network Processor (NNP) is a purpose built architecture designed from the ground up to power deep learning while making core hardware components as efficient as possible.

Intel® Movidius™ Neural Compute Stick

The Intel® Movidius™ Neural Compute Stick (NCS) is a tiny fanless deep learning development device that you can use to learn AI programming at the edge. NCS is powered by the Intel Movidius Myriad 2 VPU – the same low power high performance Intel Movidius Vision Processing Unit (VPU) that can be found in millions of smart security cameras, gesture controlled drones, industrial machine vision equipment, and more.