Difference between revisions of "BPI-AI"

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[[File:BPI-AI_2.JPG|thumb|[[BPI-AI]] Kendryte K210 RISC-V]]
 
[[File:BPI-AI_2.JPG|thumb|[[BPI-AI]] Kendryte K210 RISC-V]]
 
[[File:Webduino_gif.gif|thumb|[[BPI-Bit]] with ESP32 design ]]
 
[[File:Webduino_gif.gif|thumb|[[BPI-Bit]] with ESP32 design ]]
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[[File:Banana_PI_BPI-EAI80_5.JPG|thumb|[[BPI-EAI80 AI board]] Gree EAI80 chip design]]
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[[File:BPI-K210_1.JPG|thumb|[[BPI-K210 RISC-V AIoT board]]]]
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BPI-AI design with K210 RISC-V chip design.An integrated artificial intelligence SOC chip solution that can accommodate neural network models, using a new risc-v instruction set for the field of artificial intelligence and edge computing. The main target market is the AIoT and STEAM education market,it support screen and camera. so easy to do many AI application, cowork with Webduino team. and support Webduino blockly for STEAM education.
 
BPI-AI design with K210 RISC-V chip design.An integrated artificial intelligence SOC chip solution that can accommodate neural network models, using a new risc-v instruction set for the field of artificial intelligence and edge computing. The main target market is the AIoT and STEAM education market,it support screen and camera. so easy to do many AI application, cowork with Webduino team. and support Webduino blockly for STEAM education.

Revision as of 19:04, 17 April 2020

Introduction

BPI-AI Kendryte K210 RISC-V
BPI-AI Kendryte K210 RISC-V
BPI-Bit with ESP32 design
BPI-EAI80 AI board Gree EAI80 chip design
BPI-K210 RISC-V AIoT board


BPI-AI design with K210 RISC-V chip design.An integrated artificial intelligence SOC chip solution that can accommodate neural network models, using a new risc-v instruction set for the field of artificial intelligence and edge computing. The main target market is the AIoT and STEAM education market,it support screen and camera. so easy to do many AI application, cowork with Webduino team. and support Webduino blockly for STEAM education.

Type Applications

  • AI for Edge Computing
  • Smart Building
  • Medical equipment
  • Automation & Process Control
  • Robot
  • IoT applications
  • STEAM education

Key Features

  • 64-bit RISC-V CPU Dual-Core, up to 400MHz
  • IMAFDC (RV64GC) ISA extension
  • Hardware FPU (Float Point Unit), Double Precision
  • 32 KB I-Cache per core and 32 KB D-Cache per core
  • 8MB On-Chip SRAM 128Kbit One-Time Programmable Memory (OTP) ,Read Only Memory (ROM)
  • DMA
  • Camera and screen interface
  • WiFI (ESP8285)
  • JTAG, OpenOCD support

About Kendryte K210 chip

The Kendryte K210 is a system-on-chip (SoC) that integrates machine vision and machine hearing. Using TSMC’s ultra-low-power 28nm advanced process with dual-core 64-bit processors for better power performance, stability and reliability. The program strives for zero threshold development and can be deployed in the user’s products in the shortest time, giving the product artificial intelligence.

The Kendryte K210 is located in the SoC of the AI ​​and IoT markets and is a very convenient MCU.

Kendryte Chinese means surveying intelligence, while surveying intelligence is taken from surveying and searching. The main application field of this chip is in the field of Internet of Things, and it is developed in the field of Internet of Things. Therefore, this chip mainly provides artificial intelligence solutions, which are explored in the field of artificial intelligence.

BPI-AI hardware

Hardware Interface

BPI-AI interface.JPG

BPI-AI software

Source code on github

K210 chip official Source code on github:https://github.com/kendryte

Documents

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