Supermicro Arm embedded system edge ai server
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Supermicro ARS-E103-JONX-H2 fanless Arm embedded system is powered by NVIDIA Jetson Orin NX

Supermicro is better known for its x86 servers, and they have already produced higher-end Arm-based servers like the Ampere-based MegaDC product line, but no compact Arm servers so far. The ARS-E103-JONX-H2 embedded system, featuring an 8-core Arm CPU, four gigabit Ethernet ports, and a 10GbE RJ45 port, is almost that, but not quite. Instead, it’s another NVIDIA Jetson Orin NX-powered fanless embedded PC for imaging, industrial automation, digital signage, retail, healthcare, and other Edge AI applications. It also features three M.2 sockets for storage, wireless, and cellular connectivity, an HDMI 2.0 video output, four USB 3.2 ports, two RS232/RS485 connectors, and a terminal block with digital inputs and outputs.   Supermicro ARS-E103-JONX-H2 specifications: System-on-Module – NVIDIA Jetson Orin NX CPU – 8-core Arm Cortex-A78AE processor GPU – 1024-core NVIDIA Ampere GPU with 32 Tensor Cores System Memory – Up to 16GB RAM AI Performance – Up to 157 TOPS in “Super” […]

IBASE EC3100 Fanless Embedded Computer
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IBASE EC3100 – A fanless NVIDIA Jetson Orin NX/Nano embedded computer with up to 6x GbE ports (4x with PoE)

IBASE EC3100 is a fanless edge AI computer powered by NVIDIA Jetson Orin NX or Orin Nano module with up to six GbE ports, including four with PoE for cameras, a wide 9V to 36V DC input, and a -20°C to 70°C temperature range for industrial environments. The EC3100 is equipped with a choice of modules from the Jetson Orin Nano 4GB up to the Jetson Orin NX 16GB, delivering a maximum of 157 TOPS of AI performance. The embedded system also features an HDMI 2.1 video output, audio input and output jacks, optional WiFi and/or 4G LTE/5G cellular connectivity, RS232 and CAN Bus DB9 connectors, and several digital inputs and outputs. EC3100 specifications: System-on-Module (one or the other) EC3100-NANO-4 – NVIDIA Jetson Orin Nano 4GB with 8-core Arm Cortex-A78AE CPU @ 1.5 GHz, 512-core NVIDIA Ampere architecture GPU with 16 Tensor Cores; 34 TOPS max EC3100-NANO-8 – NVIDIA Jetson […]

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Aetina AIE-KO21/31 AIE-KN31/41
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Aetina unveils NVIDIA Jetson Orin Nano and Orin NX edge embedded systems

Aetina has recently announced several embedded systems based on NVIDIA Jetson Orin NX and Orin Nano which they showcased at CES 2023. We’ll specifically have a look at the AIE-KO21/31 and AIE-KN31/41 edge devices designed for mainstream and entry-level edge AI computing. NVIDIA introduced the NVIDIA Jetson Orin NX SO-DIMM modules in March 2022 and followed up with the lower-cost pin-compatible Jetson Orin Nano modules in September with mass production scheduled for Q4 2022 and Q1 2023 respectively. Last week, we covered the first NVIDIA Jetson Orin NX edge AI computer we had seen, namely Seeed Studio reComputer J4012, but it turns out Aetina also announced their own Jetson Orin NX/Orin Nano industrial embedded computers around the same time. Aetina AIE-KO21, AIE-KO31, AIE-KN31, and AIE-KN41 specifications: System-on-module AIE-KO21 – NVIDIA Jetson Orin Nano 4GB with up to 20 TOPS of AI performance AIE-KO31 – NVIDIA Jetson Orin Nano 8GB with […]

reComputer Jetson AGX Orin Developer Kit GMSL Bundle
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reComputer Jetson AGX Orin Developer Kit GMSL Bundle features 8x GMSL2 camera interfaces, 10GbE networking

Seeed Studio’s reComputer Jetson AGX Orin Developer Kit GMSL bundle is an NVIDIA Jetson AGX Orin 32GB/64GB equipped with eight GMSL2 camera interfaces through two FAKRA connectors. It’s based on the company’s reComputer Mini J501 carrier board – a smaller version of the reServer Industrial J501 – with 10GbE and GbE RJ45 ports, HDMI 2.1 video output, two USB 3.2 ports, two USB 2.0 Type-C Debug/Recovery ports, and fitted with a 128 M.2 NVMe SSD and an M.2 WiFi 5 and Bluetooth 5.0 module, besides the daughterboard with the GMSL2 camera interfaces. reComputer Jetson AGX Orin Developer Kit GMSL Bundle specifications: Supported system-on-modules (one or the other) NVIDIA Jetson AGX Orin 32GB with CPU – 8-core Arm Cortex-A78AE v8.2 64-bit processor @ 2.2 GHz with 2MB L2 + 4MB L3 cache GPU and AI NVIDIA Ampere architecture with 1792 NVIDIA CUDA cores and 56 Tensor Cores @ 930 MHz DL Accelerator – 2x […]

Jetson Orin Nano AI learning kit
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Elecrow AI starter kit turns NVIDIA Jetson Orin Nano into a learning platform with 11.6-inch display, 30 electronics modules

Elecrow AI Starter Kit for the NVIDIA Jetson Orin Nano turns the NVIDIA Jetson Orin Nano into a learning and educational kit for students, educators, and hardware enthusiasts looking for a rapid and powerful prototyping platform. The kit integrates an 11.6-inch IPS touchscreen, an 8MP servo-controlled gimbal camera, a voice interaction module, and 30 common electronics modules embedded in the kit. The company also provides 39 Python tutorials for sensor control, computer vision, and basic AI workflows. In addition to the display, camera, and audio features, the kit also includes expansion through I2C, UART, and GPIO. Jetson Orin Nano AI Starter Kit specifications: Main Board – NVIDIA Jetson Orin Nano (Not included in the kit) Display – 11.6-inch IPS touchscreen display with 1366 × 768 resolution Onboard modules Input modules Multimedia – 8MP IMX219-based camera with dual-servo gimbal (PTZ-style control) Sensors Temperature & humidity sensor Ultrasonic distance sensor PIR motion […]

Auvidea X242 Carrier Board
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Auvidea X242 – An NVIDIA Jetson Thor T5000 industrial carrier board with dual 10GbE, PCIe x16, CSI-2 camera support

Auvidea X242 is an industrial carrier board for NVIDIA’s Jetson Thor T5000 module, targeting edge AI, robotics, vision, and high-bandwidth embedded systems, mainly in industrial and high-performance commercial applications. The board supports dual 10GbE, PCIe x16 expansion, NVMe storage, 4G LTE/5G M.2, up to four displays through HDMI and DisplayPort Alt Mode over USB-C (rev 3), and multiple cameras through a 16-lane CSI-2 camera connector. The carrier board supports a wide 24–48 V power input with power modes up to 120 W. Industrial features include hot-swap control, reverse and over-voltage protection, and backward compatibility with earlier Auvidea Jetson platforms. Auvidea X242 Specifications: Supported system-on-module – NVIDIA Jetson Thor T5000 Storage – M.2 Key M 2280 socket (PCIe x2 Gen 5) for NVMe SSD Video Output HDMI port Up to 3x USB-C with DisplayPort Alt Mode Up to 4x displays supported simultaneously Camera – 16-lane CSI-2 camera connector, compatible with NVIDIA […]

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Forlinx FCU3011 AI Edge Computing Box
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Forlinx FCU3011 – An NVIDIA Jetson Orin Nano fanless industrial computer with 4x GbE, optional 4G/5G and Wi-Fi connectivity

Forlinx Embedded has recently released the FCU3011, a compact, fanless industrial AI edge computer built around the NVIDIA Jetson Orin Nano, designed for 24/7 operations in manufacturing, smart cities, robotics, and machine vision systems, where real-time processing is needed. The fanless system supports NVIDIA Jetson Orin Nano 4GB (34 TOPS) or 8GB (up to 67 TOPS) configurations, with 4GB/8GB LPDDR5 memory and a 128GB PCIe x4 NVMe SSD. Connectivity options include up to four Gigabit Ethernet ports, USB 3.0/2.0, HDMI 2.0 (4K), an SD card slot, optional 4G/5G and dual-band Wi-Fi via M.2 modules, along with industrial interfaces such as isolated RS-485, CAN, opto-isolated inputs, relay outputs, and an RTC. The system takes a wide 9–24V DC power input, features ESD-protected interfaces, and can be used for AGVs, visual inspection, smart factories, intelligent traffic analysis, medical devices, and small commercial robots. Forlinx FCU3011 specifications: SoM options NVIDIA Jetson Orin Nano […]

EC ThorT5000
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NVIDIA Jetson T5000-based Firefly EC-ThorT5000 industrial PC features 8x GMSL2 camera interfaces, 4x 10GbE RJ45 ports

The Firefly EC-ThorT5000 is an industrial edge AI PC built around NVIDIA’s new Jetson T5000 Thor series module, with up to 2070 TFLOPS FP4 performance. The system is one of the first commercial products based on the Jetson Thor platform, launched in late August 2025. The EC-ThorT5000 provides eight GMSL2 camera inputs, four 10GbE and four GbE (PSE) ports, dual NVMe storage, HDMI 2.0, USB 3.0, CAN/RS485/RS232, SIM support, and expansion options for 5G, 4G, and WiFi 6. It also offers up to 92-channel 1080p video decoding in a rugged all-aluminum chassis designed for 24/7 operation, making it suitable for robotics, smart city deployments, and high-density edge AI workloads. Firefly EC-ThorT5000 specifications: SoM – NVIDIA Jetson Thor T5000 module CPU – 14-core 64-bit ARM Neoverse-V3AE @ up to 2.6GHz GPU – 2560-core Blackwell GPU with 96 Tensor Cores, 10-TPC MIG VPU Video Decode – 4x 8Kp30 (H.265), 10x 4Kp60 (H.265), […]

Boardcon MINI1126B-P AI vision system-on-module wit Rockchip RV1126B-P SoC