Lanner’s Edge Computing Appliances, Combined with the Hailo-8™ AI Acceleration Module, Offers the Highest Performance, Lowest Power, and Most Cost-Effective Edge AI Hardware Solutions for Smart Cities, Smart Retail and Industry 4.0

To address the high-speed broadband requirements of the U.S. government’s FirstNet public safety communications platform, Lanner Electronics has upgraded its V3S and V6S rugged in-vehicle computers with extension slots for FirstNet-ready Pigeon (PGN) modules. These modules, which are integrated onto a caddy, can be plugged into the aforementioned systems to add 4G or 4.5G LTE wireless connectivity today and 5G communications in the future.

Automation and data exchange are no longer optional industrial innovations. If an industrial organization wants to thrive, they need to reconsider their old Industry 3.0 habits.

First Responders can leverage connected vehicle technology to improve and ensure their communications.

A key technology behind AI at the Edge is the GPU. Harnessing the complexity of the GPU for applications like inferencing is not something that’s easily digestible for the novice engineer. That’s where folks like Lanner come into play. With the company’s Edge AI Appliance LEC-2290 system, engineers can focus on the specific application without having to deal with the underlying hardware.

The race to develop Edge AI servers is on, and it’s a hotly contested race.

Designed and built in-house by Lanner for secure remote operation and accelerated workloads with the Tesla T4 Tensor core GPU, the LEC-2290E is validated and edge-ready out-of-the-box for streamlined NGC deployments.