HARDWARE & EDGE COMPUTING
Cybercore not only has strong AI teams but also has a wealth of experience working with hardware and edge devices.
By this,
in tough environmental requirements, such as mountainous areas, high-security environment such as factories,
and in-vehicles, we have solved various issues.
Please feel free to contact us.
Cybercore has been deploying diverse algorithms and applications on various edge devices.
NVIDIA
Jetson Series
Cybercore is an official NVIDIA Metropolis Program Partner.
We have a rich experience implementing a wide range of algorithms on NVIDIA’s Jetson series of edge computing platforms (Orin AGX, Orin NX, NANO, Xavier series, etc.).
NXP
i.MX Series
With NXP’s i.MX Low-Power Processor,
we deliver our Edge AI Solutions
We develop high-performance, low-power edge AI solutions with i.MX application processors, part of the EdgeVerse edge computing platform built on scalability, power efficiency, security, machine learning, and connectivity.
Qualcomm
Snapdragon Series
AI implementation in the “Snapdragon” series of SoCs widely used in Android devices
We provide solutions by implementing our lightweight AI algorithms on the Snapdragon series of SoCs (System-on-Chips), which are widely used in Android smartphones, tablets, and Android-based in-vehicle devices.
Rasberry Pi
+Google Coral Edge TPU
Combining TPU with RasPi, a typical single-board computer,
to be used as an edge AI board
The Google Coral Edge TPU, a USB device specialized for tensor treatment, is connected to a single board computer to convert it into an AI board.
By implementing Cybercore’s lightweight AI algorithms for the edge, we can provide inexpensive edge AI solutions.