The deep neural network accelerator based on the artificial intelligence processor SPR2801S is used in the field of high-performance edge computing and can be used as visual-based deep learning operation and AI algorithm acceleration. Universal USB interface for more convenient access to a variety of devices.

Features

- Support USB2.0 and 3.0 standard interface communication

- No programming needed, no language barriers

- Open SDK, can be applied to platforms such as X86, ARM, etc.

- Support Android, Linux and other operating systems

- Support VGG, SSD and other neural network models

Specification

About Lightspeeur® 2801S

Lightspeeur® 2801S is the world’s first commercially available deep learning CNN accelerator chip to run audio and video processing to power AI devices from Edge to Data Center.

Lightspeeur® pairs with a host processor to improve AI performance, while significantly reducing energy costs by minimizing host processing and power requirements with no extra memory requirements.

Lightspeeur® 2801S uses 100% proprietary and patented technologies to accelerate CNN processing at extremely high speeds, while consuming very little power.

GTI’s Matrix Processing Engine (MPE™) architecture is a multi-dimensional processing array of physical matrices of digital multiply-add (MAC) units that computes the series of matrix operations of a convolutional neural network. The scalable matrix design of the engines allows each engine to directly communicate and interact with adjacent engines, optimizing and accelerating data flow.

Application

- Edge computing
- Intelligent monitoring
- Smart toys and robots
- Smart home
- Virtual reality and augmented reality
- Face detection and recognition
- Speech Recognition
- Natural language processing
- Embedded deep learning device
- Cloud Machine Learning and Deep Learning System
- Artificial intelligence data center server
- Advanced assisted driving and autonomous driving