Difference between revisions of "BPI-K210 RISC-V AIoT board"

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==BPI-K210 interface==
 
==BPI-K210 interface==
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[[File:BPI-K210_interface_750.JPG]]
  
 
==BPI-K210 Spec ==
 
==BPI-K210 Spec ==

Revision as of 18:00, 27 April 2019

About BPI-K210

BPI-K210 is the first Banana Pi board with 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 IoT and STEAM education market

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 and BT support
  • 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-K210 hardware

BPI-K210 interface

BPI-K210 interface 750.JPG

BPI-K210 Spec

BPI-K210 GPIO PIN define

BPI-K210 software

Source code on github

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

Documents