Edge AI System
Axiomtek designs, develops and manufactures edge AI (Artificial Intelligence) systems to fulfill AI solution-ready system requirements. The AI embedded systems are ideal for smart manufacturing, machine vision, deep learning, edge computing, and much more.
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Fanless Edge AI System With NVIDIA® JETSON™ Nano SoM, 1 HDMI, 1 GbE LAN, 1 GbE PoE And 2 USB
AIE100-903-FL
*NVIDIA® Jetson™ Nano with Maxwell™ architecture with 128 NVIDIA CUDA® cores*High AI computing performance for GPU-accelerated processing*Ideal for edge AI smart city applications*Optional IP42 cover kit for semi-outdoor applications*Supports one 15W GbE PoE for camera*Wide operating temperature from -30°C to +60°C*JetPack supported
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Fanless Edge AI System With NVIDIA® JETSON™ Xavier NX SoM, 1 HDMI, 1 GbE LAN, 1 GbE PoE And 2 USB
AIE100-903-FL-NX
*NVIDIA® Jetson™ Xavier NX with Volta™ architecture with 384 NVIDIA CUDA® cores*High AI computing performance for GPU-accelerated processing*Ideal for edge AI smart city applications*Supports one 15W GbE PoE for camera*Wide operating temperature from -30°C to +50°C*JetPack supported
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Fanless Edge AI System With NVIDIA® JETSON™ TX2 Series SoM, 1 HDMI, 2 GbE LAN, 2 USB, 2 COM Or 2 CAN And 12 Or 24 VDC
AIE500-901-FL
The AIE500-901-FL is an advanced Artificial Intelligence embedded system for edge AI computing and deep learning applications. The high-performance embedded system employs an NVIDIA Jetson™ TX2 module which has a powerful 64-bit ARM® A57 processor; NVIDIA® Pascal™ GPU with 256 CUDA cores; and 8GB of 128-bit LPDDR4 memory. To withstand the rigors of day-to-day operation, the AIE500-901-FL has an extended operating temperature range of -30°C to +60°C and vibration of up to 3 Grms with its strong construction. This fanless Artificial Intelligence edge system is dedicated to achieving operational excellence, efficiency, reliability in smart manufacturing and intelligent edge applications. The edge computing device provides solutions as Edge AI embedded system, specifically designed for video analysis, object classification, computer vision, quality control and more. Under the ultra-compact enclosure design, the AIE500-901-FL comes with 32GB eMMC onboard and is equipped with one M.2 Key M 2280 SSD slot with PCIe and SATA signal and one Micro SD slot for massive data processing and AI applications. Besides, this reliable embedded system has one full-size PCI Express Mini Card slot and one SIM slot for 3G/4G, GPS, Wi-Fi and Bluetooth connections.
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Rugged IP67-rated Fanless Edge System With NVIDIA® Jetson™ TX2, HDMI, GbE LAN, 1-CH PoE, USB 2.0 And 100 To 240 VAC Power Input
eBOX800-900-FL
The Artificial Intelligence (AI) embedded system, eBOX800-900-FL, adopts a full IP67-rated extruded aluminum and heavy-duty steel case for dust protection and water resistance. Moreover, the AI embedded system comes with a wide operating temperature range of -30°C to 60°C (-22°F to +140°F) and a vibration endurance for up to 3Grms. The embedded system is powered by the NVIDIA Jetson™ TX2 module which has a powerful 64-bit ARM A57 processor and 256-core NVIDIA® Pascal GPU. It features M12 type I/O connectors and four N-jack waterproof antenna openings for operational stability in rugged environments. The eBOX800-900-FL is ideal for AI edge computing and deep learning applications, such as smart city, smart manufacturing, smart transportation, and much more. The eBOX800-900-FL has 8GB of LPDDR4 memory and 32GB eMMC onboard. It comes with a wide range of 100 to 240 VAC power input with 10kV surge protection. The rugged edge computer also features one M.2 SSD PCIe 2.0 x4 socket which supports high-performance NVM Express interface for extensive storage needs. Furthermore, the embedded box PC is equipped with a PoE port to support the applications that require the use of IP cameras or any PoE device, i.e., traffic flow monitoring, license plate recognition, vehicle recognition, machine vision.
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Fanless Edge System With NVIDIA® JETSON™ TX2, 1 HDMI 2.0,2 GbE LANs And 1 USB 2.0
eBOX560-900-FL
The eBOX560-900-FL employs a NVIDIA Jetson™ TX2 module which has a powerful 64-bit ARM A57 processor; a 256 CUDA cores with NVIDIA® Pascal™ GPU Architecture; 8GB of LPDDR4 memory; and 802.11ac Wi-Fi with Bluetooth. It also supports NVIDIA JetPack 3.2 SDK including TensorRT, cuDNN, CUDA Toolkit, VisionWorks, GStreamer, and OpenCV, all built on top of L4T with LTS Linux kernel. The extremely compact system is your superb choices for AI, deep learning, and edge computing. Its tough construction is IP40-rated, and it has an extended operating temperature range of -30°C to +60°C (-22°F to +140°F) and up to 3G vibration endurance.
