Aetina announces upcoming Edge AI Computers for Computer Vision Applications

The NVIDIA Jetson-based edge computing devices, part of the Aetina DeviceEdge family, can be used as both an embedded computer and a standalone computer. These devices are designed with multiple types of I/O connectors, making them compatible with different sensors including MIPI, USB, and IP cameras.

The edge AI computers also have several kinds of expansion slots to support hardware components such as storage, wireless communication, and out-of-band remote management modules.

Aetina’s upcoming Jetson-based edge AI computers include four models – AIB-SO21, AIE-KO21, AIB-MO22, and AIE-KO22. All models have a wide power input range from 12 to 24V DC, support 128GB M.2 2242 NVME SSD, provide wide operating temperature ranges, and are capable of data recovery and backup in case of operating system crash.

The differences between these models are that AIB-SO21 and AIE-KO21 are designed with an M.2 E-Key 2230 slot and an RJ-45 GbE Port, while AIB-MO22 and AIE-KO22 are designed with 1 x B-Key/1 x E-Key/1 x M-Key slot, 1 x RJ-45 GbE Port, and 1 x RJ45 2.5GbE Port. Due to their I/O connectors and expansion slots, the four models, with high compatibility with different peripherals, can be integrated into most AI systems to process image and video data at the edge.

Moreover, Aetina continues to build on the significant momentum behind the NVIDIA Jetson Orin platform worldwide. This includes other members of the Aetina’s DeviceEdge family that are powered by NVIDIA Jetson AGX Orin, and future Jetson-based edge AI computers that support NVIDIA Orin NX.

As an Elite member of the NVIDIA Partner Network, Aetina offers various edge AI computers that support NVIDIA Jetson, including those with a customised combination of different I/O connectors and expansion slots based on the needs from global partners and clients for any particular application.

With these Jetson-based AI computers, Aetina helps partners and clients develop a variety of edge AI, robotics, AIoT, and embedded solutions, and then deploy and scale their applications on these computers in smart cities, smart factories, smart healthcare, and smart retail.