Axiomtek - a world-renowned leader relentlessly devoted in the research, development and manufacture of series of innovative and reliable industrial computer products of high efficiency - is pleased to release the AIE100-903-FL, an ultra-compact edge AI system. The high-performance AIE100-903-FL is powered by the NVIDIA Jetson Nano module, which has a powerful quad-core ARM Cortex -A57 MPCore processor and NVIDIA Maxwell GPU architecture with 128 NVIDIA CUDA cores. In order to easily install and deploy an IP camera, this user-friendly AI-enabled system is equipped with a 15W GbE PoE port for both power and video transmission. The advanced AIE100-903-FL was designed for intelligent edge AI applications, such as AI computing, edge computing, smart retail, smart city, and more.
"The AIE100-903-FL offers support for NVIDIA JetPack 4.3.1 for ease of development for AI computing and deep learning applications such as people counting, behavior analysis and facial recognition. With its strong construction, this ultra-compact edge AI platform can operate under a wide range of temperatures from- 30°C to +60°C and withstand vibration up to 3 Grms. Moreover, it offers an optional waterproof IP42-rated cover kit to strengthen the protection of semi-outdoor environments. This AI-powered system is well-suited for use in moist places, for instance, besides the freezer, under the eave or at the arcade," said Annie Fu, a product manager of Product PM Division at Axiomtek.
Axiomtek's AIE100-903-FL has rich I/O interfaces, including one USB 3.0 port, one USB 2.0 port, one Micro USB port, one GbE LAN, one GbE PoE and one HDMI 2.0 with 4K2K supported. It also has one recovery switch, one reset button, one power button, one 12 VDC power input and two SMA-type antenna openings. Users can use the recovery switch and Micro USB to flash the image without opening the chassis. The AIE100-903-FL has a 16GB eMMC onboard via the Jetson Nano. It is also equipped with one M.2 Key M 2280 slot and one Micro SD slot for massive data processing. 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.
The AI-powered AIE100-903-FL is now available for purchase.
Advanced Features:
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"The AIE100-903-FL offers support for NVIDIA JetPack 4.3.1 for ease of development for AI computing and deep learning applications such as people counting, behavior analysis and facial recognition. With its strong construction, this ultra-compact edge AI platform can operate under a wide range of temperatures from- 30°C to +60°C and withstand vibration up to 3 Grms. Moreover, it offers an optional waterproof IP42-rated cover kit to strengthen the protection of semi-outdoor environments. This AI-powered system is well-suited for use in moist places, for instance, besides the freezer, under the eave or at the arcade," said Annie Fu, a product manager of Product PM Division at Axiomtek.
Axiomtek's AIE100-903-FL has rich I/O interfaces, including one USB 3.0 port, one USB 2.0 port, one Micro USB port, one GbE LAN, one GbE PoE and one HDMI 2.0 with 4K2K supported. It also has one recovery switch, one reset button, one power button, one 12 VDC power input and two SMA-type antenna openings. Users can use the recovery switch and Micro USB to flash the image without opening the chassis. The AIE100-903-FL has a 16GB eMMC onboard via the Jetson Nano. It is also equipped with one M.2 Key M 2280 slot and one Micro SD slot for massive data processing. 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.
The AI-powered AIE100-903-FL is now available for purchase.
Advanced Features:
- NVIDIA Jetson Nano with Maxwell GPU 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
View at TechPowerUp Main Site