Powered by the NVIDIA® Jetson Nano™, AAEON’s Edge AI DIY Kit range provides developers with the tools to bring edge AI applications to market, with both kits featuring quad-core ARM® Cortex®-A57 processors that can operate within a 5W ~ 10W range. Each kit also harnesses NVIDIA Maxwell™ GPU architecture, which offers 128 CUDA cores for processing speeds of up to 472 GFLOPS to power an array of edge computing applications and projects.
“My application already maxes out all 16GB of eMMC, how am I supposed to succeed with such limitations?”
Setting AAEON’s Edge AI DIY Kits apart is their additional storage options. We know that 16GB eMMC storage may be enough for your application to function, but not enough for it to thrive.
Therefore, AAEON’s Edge AI DIY Kits also provide multiple expansion options such as microSD and Mini Card slots to break down these barriers and increase the storage capacity available, giving you the space required to realize your application’s full potential.
“My application needs to operate in an industrial environment, but the kits I’ve found are not suitable.”
As an industry leader in providing advanced industrial and embedded edge computing platforms, AAEON knows that successful applications require nuance, and that one size does not fit all.
AAEON’s Edge AI DIY Kits have a wide thermal range of -4°F ~ 158°F (-20°C ~ 70°C), along with 5 years longevity, making them suitable for mass deployment in industrial settings. Furthermore, AAEON provides flexible customization, ensuring your kit fits your needs.
“Issues with OS Installation cause development delays. How can you help?”
Determined to reduce the time it takes to bring applications to market, AAEON has created the OS Flash Guide, meaning you receive dedicated support to ensure the OS installation process is seamless, getting your project underway without delay.
This customer-centric approach means there is expert support available every step of the way, helping you to unlock a library of inferencing models to suit your application with the NVIDIA Jetpack™ SDK.
