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.

Neousys Technology announced the release of its Nuvo-8108GC-XL, an edge AI GPU computing platform supporting the NVIDIA RTX 30 series GPU card up to RTX 3080 and Intel Xeon E, 9th/ 8th-Gen Core™ processors.

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

The e-commerce and online retail industries are experiencing exponential growth, resulting in more stringent demands being placed on logistics operations worldwide. Logistics companies and their suppliers are relying on automation more than ever to increase productivity and efficiency.

How do we transition from our historical lack of understanding about what’s going on under the hood of complex neural networks, and into an era of AI explainability around how these models operate?

The analysts all agree—the spend for AI hardware (and software) will be going through the roof in short order.

XaLogics’s AI Accelerator with K210 SoC comes with a dual-core RISC-V AI processor featuring low power consumption than its competing Coral USB Accelerator, and Intel Neural Compute Stick 2.