New Intel Chip Can Handle 4 Trillion Operations Per Second

One year after its acquisition of Movidius, Intel is introducing a new chip called the Myriad X, which TechCrunch describes as “a ‘Pro’ version of the Myriad 2, bringing a major redesign to the computer vision-minded chip, while also flaunting some new sophisticated deep-learning capabilities by way of its new ‘Neural Compute Engine.’” While a dedicated computer vision chip has a wide range of potential applications, Intel is looking to use the Myriad X in drones, robots, smart cameras and VR and AR headsets.

According to the Intel release, Myriad X is the “world’s first SOC shipping with a dedicated Neural Compute Engine for accelerating deep learning inferences,” and is capable of 4 trillion operations per second.


The Myriad X combines “imaging, visual processing and deep learning inference in real time” with programmable 128-bit VLIW vector processors, 16 configurable MIPI lanes (“connect up to 8 HD resolution RGB cameras directly to Myriad X … to support up to 700 million pixels per second of image signal processing”), more than 20 enhanced vision accelerators, and 2.5MB of homogenous on-chip memory.

Myriad X is the “first vision processing unit (VPU) to ship with a dedicated Neural Compute Engine to deliver artificial intelligence capabilities to the edge in an incredibly low-power, high-performance package,” explains Remi El-Ouazzane, VP and GM of Movidius, Intel New Technology Group, via a blog post. “With this faster, more pervasive intelligence embedded directly into devices, the potential to make our world safer, more productive and more personal is limitless.”

No Comments Yet

You can be the first to comment!

Sorry, comments for this entry are closed at this time.