GTI Lightspeeur 2801S USB Neural Network Computing Card

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The deep neural network accelerator based on the artificial intelligence processor SPR2801S... more
Product information "GTI Lightspeeur 2801S USB Neural Network Computing Card"

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

NPU
Name Lightspeeur SPR2801S(28nm process, unique MPE and ApiM architecture)
Energy efficiency 9.3 TOPs/Watt
Peak 5.6 Tops@100MHz
Low Power 2.8 Tops@300mW
Hardware interface SDIO3.0 \ eMMC 4.5
Package BGA(7mm*7mm)
Manufacturing process 28nm
USB accelerator
Size 66x19.5x10mm
Interface USB 2.0,USB3.0 Type-A
Transmission Bandwidth  read bandwidth = 68.00 MB/s, write bandwidth = 84.69 MB/s
Working Voltag DC 5V 200mA
Operation Temperature 0° C to 40° C
Storage Temperature -20° C to 80° C
Framework support Pytorch, Caffe framework, follow-up support TensorFlow
SDK Provided ARM、X86 SDK
Tools PLAI model traning tool(support for GG1,GNet18 and GNetfc network models based on VGG-16) Support Ubuntu, Windows operating system

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

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

USB Dongle module supports all Firefly development boards, but need the driver module sg.ko (SCSI generic module), please confirm the kernel supported or compile the corresponding kernel driver.

 

Documents

  Wiki - NCC S1 Manual
Introduction
Getting Started Linux SDK Getting Started Guide
Android SDK Getting Started Guide
Development Tools SDK
PLAI
MDK
Other Firmware download
Common problems
Firmware download -Ubuntu 16.04 Google Driver
Flashing Method - ROC-RK3399-PC 
NCC S1 forum
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