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Getting Started with the AI_ML - 96Boards

Getting Started

Learn about your AI_ML board as well as how to prepare and set up for basic use

Setup - What you will need

Required

  • AI_ML development board
  • Power adapter
    • 96Boards specification requires a 12V with 2500mA power adapter

Optional

  • HDMI Display
  • microSD Card
  • USB Keyboard and Mouse

Out of the Box

In the Box you can find the AI_ML as well as a microSD card which comes with a pre-installed linux.

Features

Component Description
SoC NXP i.MX 8X
CPU Arm A35 Quad-Core 64-bit @ 1.2 GHz
Cortex-M4F Core
DSP Tensilica HiFi 4 DSP Core
GPU 1x 3D GPU Vivante® GC7000Lite
RAM 2 GB LPDDR4 @ 1,600 MHz Industrial Temp by Micron
Storage microSD Socket
512 Mb NOR FLASH on Octal-SPI
256 Kb EEPROM
Ethernet Port 10/100/1000 Mbit/s
Wireless Cypress’ industry-leading 802.11ac Wi-Fi and Dual-Mode bluetooth® wireless technology
USB Host: 2x USB Type-A 3.0
OTG: 1x type micro-AB, 2.0 high-speed
Display HDMI Output
Dual MIPI DSI Support
Expansion Interface 96Boards Compliant:
40-Pin Low Speed Header
60-Pin High Speed Header
LED 4x green user controlled LEDs
1x blue bluetooth enabled
1x yellow WiFi enabled
1x red power supply okay
Button Power and Reset
Power Source DC Power Jack: 1.65mm Center Positive
8v - 18v upto 24W
Size 100 x 85 mm

Starting the board for the first time

Coming Soon…


Whats Next?

If you are already familiar with the AI_ML and would like to change out the stock operating system, please proceed to one of the following pages:

  • Downloads page: This page lists all Linaro and 3rd party operating systems available for the AI_ML
  • Installation page: If you already have the images you need, this page has information on how to install the different operating systems onto your AI_ML
  • Board Recovery
    • If at any time your board is having unexplainable issues, it is suggested to attempt a board recovery. These instructions will guide you through a succesfull board recovery.
  • Support
    • From bug reports and current issues, to forum access and other useful resources, we want to help you find answers

Back to the AI_ML documentation home page