Scailable supported devices

With Scailable we make creating and managing highly performant edge AI solutions as easy as possible. To ensure the efficiency of our full edge AI pipline (i.e., from grabbing the camera images and pre-processing, to model inference and output post-processing) we focus on a carefully selected set of edge device. For each of the devices we support we provide extremely efficient, low-level integrations of our AI manager. This often includes automatically using the hardware acceleration (GPU, NPU, TPU) that is available on the device.
In this section of our documentation we first detail our generic one-line install that will work for virtually any linux based device. Next, we list specific OEMs that we partner with and whose devices we support. In the OEM specific pages you will find specific information regarding supported devices from different partners including purchase options.

AI manager installation

It is possible to install the AI manager on virtually any Linux based device using our simple one-line install script.

One-line install

Login to the Edge device and open a shell. Next, type the following command:
sudo bash -ic "$(wget -q -O - https://get.sclbl.net)"
If you have issues with this command due to wget not behaving as expected, the following command offers a curl based alternative:
sudo bash -ic "$(curl -fsSL https://get.sclbl.net)"
This will install the Scailable AI manager on the device and should work for ARM32, ARM64 and Intel x86_64 CPU based devices. Note that the installation will also automatically detect the presence of NVIDIA accelerator hardware and will install all the necessary drivers.
After the installation script has run 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.

One-line install with 'Access Key'

Similar to the one-line install above, but this will automatically register the device to your organisation.
You will need to get an access key from Scailable directly to use this feature. Replace the <key> below with the key you received. Contact [email protected] for more information.
sudo bash -ic "$(wget -q -O - https://get.sclbl.net)" autoregister --key <key>
After the installation, you can access the AI manager at one of the ports listed and configure your solution.

Supported devices

The following table lists all the devices (or device classes) we currently actively support (meaning we extensively test our pipeline on these devices and actively benchmark our library model's performance on these devices). It also means we have active relationships with the manufacturers to provide support and ensure the successful realization of edge AI projects.
Manufacturer
Device
Link to details
Installation notes
ADLink
ADLink Jetson ORIN
ADLINK
One-line install
Advantech
Smartflex
Smartflex
WADMP install
Advantech
ICR3
ICR3
WADMP install
Advantech
ICR4
ICR4
WADMP install
Advantech
SKY series
Sky
One-line install
Advantech
MIC series (NVIDIA)
MIC-AI
One-line install
Advantech
ICAM (NVIDIA)
ICAM
One-line install
Advantech
UNO
UNO
One-line install
AI Blox
(NVIDIA)
AI-Blox
One-line install
Dell
Virtual edge 1400
Dell
One-line install
Dell
Edge Gateway 3200
Dell
One-line install
Dell
Edge Gateway 5200
Dell
One-line install
Lanner
Falcon H8 (HAILO)
Lanner
One-line install
OMRON
AI Controller
OMRON
Custom install
Seeed
NVIDIA Jetson
Seeed
One-line install
Siemens
IoT 2050
Siemens
One-line install
Videology
SCAiLX (NXP)
Videology
One-line install
Would you like your device to be added to our supported devices list? We actively collaborate with OEMs to support their edge hardware. Do contact us at [email protected].

Supported accelerators

We support the following chipsets/accelerators:
Would you like to add support for your hardware? Contact us at [email protected].

Purchasing devices

Please consult our purchasing options for your region to purchase a desired device with the Scailable AI manager pre-installed. For questions do feel free to reach out to our team anytime using our chat or by mail at [email protected]