{"id":386,"date":"2022-04-14T08:00:04","date_gmt":"2022-04-14T08:00:04","guid":{"rendered":"https:\/\/openzeka.com\/en\/?page_id=386"},"modified":"2022-08-24T14:03:20","modified_gmt":"2022-08-24T14:03:20","slug":"aaeon-3","status":"publish","type":"page","link":"https:\/\/openzeka.com\/en\/aaeon-3\/","title":{"rendered":"AAEON"},"content":{"rendered":"

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AAEON is a leading global manufacturer of Industrial PC, Embedded Systems, AI@Edge Controllers and AIOT devices. AAEON offers various compact AI@Edge controllers which based on the NVIDIA Jetson platform, including the TX1\/TX2 family, and all those products supported by the JetPack SDK and CUDA toolkit. AAEON also provides different solutions for TX2 Carrier boards, supporting wide working temperatures, power inputs, different I\/Os, sensors, and mechanical thermal solutions.<\/p>\n<\/div><\/div><\/div><\/div><\/div>

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AAEON Products<\/h1><\/div><\/div><\/div>

AI@Edge Solutions<\/h1><\/div><\/div><\/div>

AAEON (NVIDIA Elite Partner) continues to innovate and provide solutions for AI computing at the Edge with platforms featuring the NVIDIA Jetson line of SoCs. AAEON\u2019s line of embedded box PCs with NVIDIA feature the Jetson Nano (BOXER-8220AI Series) with low barrier of entry and great cost-to-performance ratio, the Jetson TX2 (BOXER-8100AI Series) with flexible I\/O features, and platforms coming soon with Jetson Xavier (BOXER-8240AI Series) and Xavier NX (BOXER-8250AI Series). Every AAEON platform features compact design, flexible I\/O configurations, wide operating temperatures, and support for frameworks including Tensorflow and Caffe.<\/p>\n<\/div><\/div><\/div>

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AAEON Jetson Nano BOXER-8221AI-B1-1111<\/h1><\/div>

AAEON BOXER-8221AI is a compact AI@Edge system powered by NVIDIA Jetson Nano. The Jetson Nano SoC features a quad-core ARM\u00ae Cortex\u00ae-A57 MPCore processor and NVIDIA Maxwell\u2122 GPU with 128 NVIDIA CUDA\u00ae cores. This innovative design offers processing speeds of up to 472 GFLOPs and enables simultaneous processing of several high-resolution images with multiple neural networks. The NVIDIA Jetson Nano, along with the BOXER-8221AI, also provides 4GB of RAM and 16GB of eMMC storage.<\/p>\n<\/div>

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AAEON BOXER-8240AI-A2-1010<\/h1><\/div>

AAEON BOXER-8240AI embedded AI Edge system comes with the NVIDIA\u00ae Jetson AGX Xavier module in addition to the ruggedized design for industrial applications. In this way, developers can develop more edge AI applications in any area needed.<\/p>\n<\/div>

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AAEON BOXER-8250AI-A1-1010<\/h1><\/div>

AAEON BOXER-8250AI embedded AI Edge system powers intelligent applications and edge networks with NVIDIA\u00ae Jetson Xavier\u2122 NX. The NVIDIA Jetson Xavier NX SoC features a six-core 64-bit ARM processor, 384 CUDA\u00ae cores, 48 Tensor Cores, and two NVDLA engines with the ability to run multiple neural networks in parallel. In this way, it provides accelerated computation performance up to 21 TOPS. Developed to provide dedicated AI processing to edge systems, this system also features 8GB of LPDDR4 memory and 16GB of internal eMMC memory for expansion with Micro-SD card slot.<\/p>\n<\/div>

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AAEON BOXER-8251AI-A1-1010<\/h1><\/div>

Aaeon Boxer-8251A is powered by the innovative NVIDIA Jetson Xavier NX. With a six-core 64-bit ARM processor, 384 CUDA\u00ae cores, 48 Tensor cores and two DLA engines, it can run multiple neural networks in parallel, providing computational performance up to 21 TOPS. The system brings dedicated AI processing to edge systems with 8GB of LPDDR4 memory and 16GB of embedded eMMC storage that can be expanded with Micro-SD card slot.<\/p>\n<\/div>

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AAEON BOXER-8253AI-A1-1010<\/h1><\/div>

The BOXER-8253AI combines the power of NVIDIA\u00ae Jetson Xavier\u2122 NX with PoE PSE support and HDMI input flexibility. The NVIDIA Jetson Xavier NX SoC features a six-core 64-bit ARM processor, 384 CUDA\u00ae cores, 48 Tensor Cores, and two NVDLA engines with the ability to run multiple neural networks in parallel. In this way, it provides accelerated computation performance up to 21 TOPS. The system also features 8GB of LPDDR4 memory and 16GB of internal eMMC storage that can be expanded with a microSD card, mSATA module or a 2.5\u2033 SATA III (6.0 Gbps) disk with easy installation via a quick access panel.<\/p>\n<\/div>

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