AIoT is the catalyst for the advent of the smart era, and edge computing devices lie at the core of real-time processing and analysis in the field. The Cincoze GOLD series is a range of GPU computers designed from the ground up to meet the needs of large-scale image processing, machine vision, and machine learning applications in AIoT. The series includes the GP-3000 and GM-1000, which are selectable according to application requirements like size, performance, I/O, functionality, and future upgradeability. Whether it is smart manufacturing, smart transportation, smart cities, or even national defense, the GOLD series is an excellent choice for building smart applications for AIoT. The GP-3000 series is a top-of-the-line GPU edge computer that supports 720W total system power.

The Nuvo-6108GC GPU computer from Neousys was presented to the customer as a suitable solution for their needs, reported to be the world's first'Industrial-grade edge AI GPU computer supporting high-end NVIDIA RTX 2080 graphics card'. The Nuvo-6108GC GPU computer is able to support the heavy power consumption requirements in order to offer reliable GPU computing performance in industrial environments, and has a patented airflow design and multiple storage drives in a compact form factor. To meet the customer's requirements, Neousys provided a bespoke card cage assembly for the specialised graphics card to secure it in place and protect against the shock and vibration that is commonplace with in-vehicle applications. The fact that all this was incorporated in to an in-vehicle box PC made the Nuvo-6108GC from Neousys the perfect all-in-one GPU computing solution for this innovative autonomous vehicle project. To find out more about WMG, University of Warwick's autonomous vehicle project click here.

Facebook's giving away servers for AI: So what does it get in return? Facebook is distributing 22 high-powered GPU servers to 15 research groups across nine European countries. Just east of the Belgium capital, Brussels, Marian Verhelst's microchip research group at the University of Leuven anxiously awaits a large shipment of supercomputing servers from Facebook's Silicon Valley headquarters. Verhelst, an assistant professor of electrical engineering at the university known as KU Leuven, plans to employ the deep-learning potential of these computers to help develop more advanced processors. As part of a global research partnership to stimulate artificial-intelligence research into deep learning, Facebook is donating 22 GPU-accelerated computer servers to researchers in nine countries across Europe.