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 […]
Jupiter 2 – RVA23-compliant SBC features SpacemiT K3 octa-core RISC-V AI SoC, up to 32GB RAM, 256GB UFS
MILK-V Shenzhen Technology has just unveiled the Jupiter 2, the first RVA23-compliant RISC-V SBC powered by a 2.4 GHz SpacemiT K3 octa-core X100 CPU with up to 60 TOPS of AI performance, up to 32GB LPDDR5, 256GB UFS, and PCIe Gen3 x4 NVMe SSD support. Designed by SpacemiT themselves, the board also features an eDP connector, a 10GbE SFP+ cage, a Gigabit Ethernet RJ45 port, built-in WiFi 6 and Bluetooth 5.2 wireless connectivity, two USB Type-C connectors, four USB 2.0 ports, an M.2 Key-B socket coupled with a NanoSIM card slot for 4G LTE or 5G cellular connectivity, and more. Jupiter 2 specifications (preliminary): System-on-Module – K3-CoM260 (aka Jupiter 2 NX) SoC – SpacemiT K3 CPU 8x 64-bit RISC-V X100 “big” cores clocked up to 2.4 GHz, RVA23 compliance; 130 KDMIPS performance (similar to RK3588) 8x RISC-V A100 AI Cores with support for up to 1024-bit RVV1.0 parallel computing, optimized for […]
Lanner EAI-I351 – An NVIDIA Jetson Thor Edge AI computer with 100GbE QSFP28 port and 8x GMSL2 camera
Lanner EAI-I351 is a rugged edge AI computer built around the NVIDIA Jetson Thor platform, featuring a 100GbE QSFP28 port for high-bandwidth networking and 8x GMSL2 camera inputs for low-latency vision processing. The system supports up to 128 GB of 256-bit LPDDR5X memory, features up to four 25GbE lanes via a QSFP28 port, a 5GbE RJ45 port, HDMI 2.0, four USB 3.2 Gen1 ports, two RS232/422/485 serial interfaces with optional CANBus, digital I/Os, and audio interfaces. Three expansion sockets are offered with an M.2 NVMe slot, an M.2 E-Key for Wi-Fi/Bluetooth, and an M.2 B-Key for 4G LTE/5G cellular with dual Nano-SIM support. Designed for industrial deployments, the embedded computer can operate in a –25°C to 70°C temperature range and takes 24V/48V DC power input. It targets robotics, smart manufacturing, and autonomous systems such as collaborative robots, AMRs, and machine-vision-based factory automation. Lanner EAI-I351 specifications: Supported system-on-module – NVIDIA Jetson […]
2-channel GMSL camera adapter board supports Raspberry Pi 5 and NVIDIA Jetson Orin Nano/NX
After phasing out the earlier MAX9296-GMSL-Camera-Board, Waveshare has now released the MAX9296-GMSL-DESER-MODULE 2-channel GMSL camera adapter board designed for high-speed, low-latency video transmission on the Raspberry Pi 5 and NVIDIA Jetson Orin Nano/NX developer kits. The adapter is built around the MAX9296A deserializer, and supports two MATE-AX FAKRA Z coaxial inputs for long-distance video transmission and two 22-pin CSI outputs for connection to the host. It supports both GMSL1 and GMSL2 cameras (such as the Sony ISX031) via software configuration and is compatible with serializers like the MAX9295, MAX96717, and MAX96705. These features make it suitable for applications such as robotics, autonomous driving, surround-view systems, and more. Waveshare MAX9296-GMSL-DESER-MODULE specifications: Compatible boards – Raspberry Pi 5, Jetson Orin Nano, Jetson Orin NX developer kits Deserializer IC – Maxim (ADI) MAX9296A GMSL Inputs – Supports two GMSL2 cameras(ISX031) via MATE-AX FAKRA Z connectors (backward compatible with GMSL1) Output Interfaces – 2x 22-pin […]
NVIDIA Jetson T4000 Edge AI embedded system offers 5GbE networking, four PoE camera ports, DIO, CAN Bus, and more
AAEON BOXER-8742AI is a fanless Edge AI embedded system powered by an NVIDIA Jetson T4000 that was unveiled along with the Jetson Thor T5000 module last August, but officially launched at CES 2026. The Jetson T4000 is a weaker variant, but it’s still extremely powerful with up to 1200 TFLOPS of AI computing power against 2070 TFLOPS for the T5000. The BOXER-8742AI features a 5GbE port, four Gigabit Ethernet RJ45 PoE ports suitable for IP cameras, DIO, RS232, RS485, and CAN Bus interfaces, four USB 3.2 Gen 2 ports, HDMI video output, and more. It’s suitable for high-performance edge AI applications such as smart factory automation, AMR, and AI-assisted roadside unit solutions. AAEON BOXER-8742AI specifications: System-on-Module – NVIDIA Jetson T4000 CPU – 12-core 64-bit Arm Neoverse-V3AE GPU – 1536-core NVIDIA Blackwell GPU with 64 Tensor Cores, 6-TPC MIG VPU Video Decode – 4x 8Kp30 (H.265), 10x 4Kp60 (H.265), 22x 4Kp30 […]
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 – 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 […]
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 […]

