It is included on an SoC called Myriad X, aimed at drones, robotics, smart cameras and virtual reality.
“The Myriad X architecture is capable of 1Tops maximum performance, based on peak floating-point computational throughput on deep neural network inferences,” said the firm.
Also on-board are:
- 16 programmable 128bit VLIW vector processors optimised for computer vision workloads, for running multiple imaging and vision application pipelines simultaneously.
- 16 MIPI lanes to connect up to 8 eight high resolution RGB cameras to Myriad X, supporting up to 700Mpixel/s image signal processing throughput.
- “Over 20” said Intel, hardware vision accelerators to perform tasks such as optical flow and stereo depth without introducing additional compute overhead.
- 2.5Mbyte of homogenous on-chip memory, with up to 450Gbyte/s bandwidth.
According to the firm, 4Tops of processing is available all told.
“Myriad X is the newest generation in a lineage of Movidius vision processing units, which are purpose-built for embedded visual intelligence and inference,” said Intel. “Movidius VPUs achieve significant performance at low power with the merging of three architectural elements to provide sustained high-performance on deep learning and computer vision workloads: an array of programmable VLIW vector processors with an instruction set tuned to computer vision and deep learning workloads; a collection of hardware accelerators supporting image signal processing, computer vision, and deep learning inferences; and commonly accessible intelligent memory fabric that minimises data movement on chip.”
The chip is 8.1 x 8.8mm.