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| AI-Enhanced NGFW for Modern Enterprise Edge Security |
| As enterprises embrace cloud-native architectures and distributed workforces, security enforcement must extend to the edge. Traditional firewalls and UTM appliances lack the throughput, visibility, and adaptability required for today’s encrypted and AI-driven threat landscape. Organizations, therefore, look to AI-enhanced NGFWs that combine deep inspection with ML-based threat detection. |
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| Compact, Affordable Fanless Edge AI System Powered by Intel® Twin Lake N-series |
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The AIM101 supports a wide range of leading M.2 AI accelerators, including Axelera, DeepX, Hailo, and MemryX, with performance up to 214 TOPS (INT8). With seamless connectivity through dual 2.5GbE, Wi-Fi 6E, LTE, and USB power management,it delivers robust and stable performance for demanding inference workloads.
Its fanless design, 9–36 VDC wide-range input, and -40°C to +70°C operating temperature ensure reliable operation in harsh environments such as outdoor security installations, roadside cabinets, cold-chain facilities, remote agricultural sites, and industrial production lines. |
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| Medical-Grade High-Performance Edge System for AI-Driven Healthcare |
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Fully compliant with IEC 60601-1 for safe clinical operation, the mBOX603, powered by 12th/13th Gen Intel® Core™ processors and high-speed DDR5 ECC memory, delivers the performance and stability required for CT/MRI reconstruction, EMR processing, and intelligent nursing applications.
It offers flexible expansion with PCIe slots for GPUs, M.2 modules for NVMe storage and wireless connectivity, and comprehensive I/O, including triple 4K display support, multiple USB ports, serial interfaces, and dual 2.5GbE LAN, for seamless integration with medical devices and clinical systems. |
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| IMB711 |
| ATX Motherboard with LGA4677 Socket 5th/4th Gen Intel® Xeon® Scalable Processors, Intel® C741, 4 PCIe x16, VGA, and NVMe |
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| MPC241G |
| 24-inch Medical-Grade Panel PC with MXM GPU Expansion and Intel® Core™ Ultra 5/7 Processors for AI-Accelerated Advanced Medical Computing |
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