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MIC AIx series

Device setup and documentation

The Advantech MIC-AIx series provide a versatile range of fanless box pc's with integrated NVIDIA GPU acceleration. The Scailabel AI manager runs effortlessly on any of the Advantech MIC-AIx devices.
Find the manufacturers device information (and an overview of the various devices in this range) here.

Installation of the AI manager on this device

You can easily install the AI manager on any of the Advantech MIC-AIx devices using our simple one-line install.
Please execute the one-line install procedure described here directly on top of the clean Advantech image that is supplied with the MIC. Or, even better, purchase the MIC at one of our resellers with the AI manager pre-installed.
Login to the Edge device and open a shell. Next, type the following command:
sudo bash -c "$(wget -q -O - https://get.sclbl.net)"
This will install the Scailable AI manager on the device. Note that the installation will automatically detect the presence of NVIDIA accelerator hardware and will install all the neccesary drivers. Thus, there is no need to pre-install any of the cuda-drivers or otherwise.
After the installation script has ran you will see the following message:
At this point you can access the AI manager at one of the ports listed and configure your solution.

Constraints on this device

Depending on which device from the series you select there are virtually no constraints on model size and execution speed on this range of devices.

Tips & Tricks

For AI solutions on the MIC-AIx series we provide the following tips:
Some first-time user fail to appreciate the power of the AI manager running on the device and start coding up (often using some mash-up of docker containers, python glue, and other extremely useful cloud tools) ways of grabbing camera images or resizing images; none of this is neccesary. Once you have connected your camera to the device, you will simply be able to configure the input cameras and off you go.

Free up space

The MIC AI can have limited filesystem space based on the version of the device. Free up space by removing unneeded large programs from the filesystem with the following commands:
sudo apt update
sudo apt remove thunderbird libreoffice-* -y
sudo apt autoremove -y
sudo apt clean

Make sure all drivers are up to date

As superuser, edit or create the file /etc/apt/sources.list.d/nvidia-l4t-apt-source.list and include the following lines:
deb https://repo.download.nvidia.com/jetson/common r32.7 main
deb https://repo.download.nvidia.com/jetson/t210 r32.7 main
These lines might be there already, with slightly different filnenames or commented out entirely
sudo apt update
sudo apt dist-upgrade -y
sudo apt autoremove -y
sudo apt clean