The First Vision Processing Unit

The First Vision Processing Unit

with a Dedicated Neural Compute Engine will Give Devices the Ability to See, Understand and Interact with the World Around Them in Real Time

Throughout my career, and now more than ever at Intel, I have dreamed about where technology will take us next, and it’s even more exciting to be creating the future. Today, that future is here with the unveiling of the Myriad™ X, the world’s first vision processing unit (VPU) to ship with a dedicated Neural Compute Engine to deliver artificial intelligence (AI) capabilities to the edge in an incredibly low-power, high-performance package

In the coming years, we’ll see a huge range of new products emerge that are made more autonomous by embedding real-time intelligence capabilities in devices – from drones and smart cameras to augmented reality and more – to give them the ability to see, understand, interact with and learn from rapidly changing environments.

Myriad X combines dedicated imaging, computer vision processing and – thanks to the industry-first Neural Compute Engine – high-performance deep learning inference within the same chip, and the results are opening up new realms of possibility. With this faster, more pervasive intelligence embedded directly into devices, the potential to make our world safer, more productive and more personal is limitless. From autonomous delivery drones and security cameras with contextual understanding to personal robots that have both situational and emotional awareness, Myriad X will unleash innovation for a new future of intelligent and autonomous devices.

To make this possible, we’ve removed the time and power constraints of communication with the cloud and enabled deep learning at the device level. This is where the power of the VPU comes in – the Movidius™ platform is specifically designed to meet the challenges of autonomous devices. Our tiny VPUs put visual intelligence directly onboard the device while delivering industry-leading compute performance at an ultralow power threshold.

This is the day I have looked forward to since we were welcomed into the Intel family nearly one year ago – how time flies. In working across Intel’s diverse areas of expertise – from the AI Product Group and IoTG to the Intel Labs andRealSense teams, we have been able to give scale to our technology and push  the performance of deep learning at the edge to bring Myriad X to the world in a form that is better and faster than I ever imagined.

And we’re just getting started…

As we continue to leverage Intel’s unique ability to deliver end-to-end AI solutions from the cloud to the edge, we are bound to deliver a VPU technology roadmap that will continue to dramatically increase edge compute
performance without sacrificing power consumption.

This next decade will mark the birth of brand-new categories of devices, and we can’t wait to see the innovation from Myriad X to come. As Saint-Exupéry once said, “As for the future, your task is not to foresee it, but to enable it.”

I invite you to learn more about how Myriad X is accelerating the possibilities of computer vision intelligence at the edge by visiting “Intel Unveils Neural Compute Engine in Movidius Myriad X VPU to Unleash AI at the Edge.”

“The Movidius Myriad X VPU delivers artificial intelligence at the edge for drones, robotics, smart cameras, virtual reality/ augmented reality solutions and more. Introduced on Aug. 28, 2017, Myriad X is the world’s first SOC shipping with a dedicated NeuralCompute Engine to give devices the ability to see, understand and react to their environments in real time.

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