NexAIoT Co., Ltd. will exhibit the NISE 3910 and other Manufacturing-X solutions at Embedded World 2024 in Hall 5, Stand 5-253

NexAIoT is releasing the NISE 3910 series powered by Intel 12th/13th generation Core processors. It will be showcased along with other Manufacturing-X solutions at Embedded World 2024. It's ideal for edge AI applications and bridging OT and IT as a gateway and edge server. The CPUs leverage an integrated Intel Q670E PCH chipset that delivers hardware communication, reduced latency, and enhances data transfer.

The convergence of Edge Computing and Automation technologies has emerged as a transformative force in the manufacturing industry, offering a streamlined approach to achieving sustainable and environmentally conscious practices.

Product Description:

Integrated with 8th/9th generation Intel®️ Core™️ i7/i5/i3 processors, NISE 3900 series is the fanless PC designed for industrial applications which demand high CPU and graphics performance. NISE 3900 series supports up to 16G DDR4 memory and have several options on storage devices like M.2, HDD or SSD. NISE 3900 series supports wide range of DC input from +9V to 30V DC input, and can be operated in an extended operating temperature range between -5 to 55 Celsius degree. For extended module availability, NISE 3900 series also designed one internal mini-PCIe sockets to support IoT wireless connectivity applications (support optional Wi-Fi, 3.5G, 4G LTE modules).

Among industrial applications, ESG is becoming more and more important. It’s also one of the key attributes of the NISE 3910 PC from NexAIoT. Based on an Intel12^th /13^th generation Core i3/i5/i7/i9 processor, the fanless platform is aimed at industrial IoT, Edge, and AI applications that demand high CPU and graphics performance. For example, AI and machine learning, or anything that involves Graphics computing and inferencing are prime candidates for the robust platform.

10th Gen Intel Core™-i Panel PC

IoT edge devices are continuing to emerge in smart manufacturing with the help of artificial intelligence and machine learning (AI/ML). As these spaces continue to make use of edge intelligence, IIoT is becoming more beneficial to the management and visibility of automated manufacturing facilities that improve reliability and efficiency.

Of course, implementing AI and machine learning in industrial environments where space, cost, and safe operation are paramount is not as straightforward as flipping a switch.