Wednesday 21st October 2020

More power, greater flexibility for AI at the edge in transport use and smart cities

Published on July 22nd, 2020

AAEON, a specialist in artificial intelligence (AI) edge solutions, has released the BOXER-8251AI AI edge box PC, powered by NVIDIA Jetson Xavier NX. The BOXER-8251AI is said to offer greater performance and is more compact.

The device is powered by the Jetson Xavier NX from NVIDIA. Featuring a six-core 64-bit ARM processor, it boasts 384 CUDA cores, 48 Tensor Cores, and two NVDLA engines capable of running multiple neural networks in parallel, delivering accelerated computing performance up to 21 TOPS. Built to bring dedicated AI processing to the edge, the system also features 8GB of LPDDR4 memory and 16GB of onboard eMMC memory that’s expandable through the Micro-SD card slot.

One of the key features of the NVIDIA Jetson Xavier NX is that users can select five different performance modes. These modes allow users to tailor the number of cores, processor speed, and power draw the system utilises. Thanks to extensive testing and development by AAEON, along with rugged thermal design, users are able to match processor performance with thermal performance for each operating mode.

The BOXER-8251AI also provides users with greater flexibility with its compact size and I/O features. With two COM ports and four USB 3.2 Gen 1 ports, as well as Gigabit Ethernet port, the BOXER-8251AI can easily integrate into existing applications as well as new ones. Its rugged, fanless design keeps dust and other contaminants out of the system, offering reliable and low-maintenance operation for more stable performance.

“With the BOXER-8251AI powered by NVIDIA Jetson Xavier NX, users and developers have even greater freedom to select the kind of performance they need for their projects and applications,” says Alex Hsueh, senior director of AAEON’s System Platform Division. “Thanks to this flexibility, the BOXER-8251AI is able to power a wide range of AI and edge computing applications from Smart City environments to monitoring public transportation users for fever and compliance with face mask requirements.”

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