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EC AGXOrin NVIDIA Jetson 275 TOPS Edge AI Computer

October 24, 2025February 4, 2026

Firefly EC-AGXOrin – Jetson AGX Orin 64GB AI inference system supports up to 8 GMSL2 cameras

Firefly EC-AGXOrin is an NVIDIA Jetson AGX Orin 64GB-powered AI inference system, similar to the AAEON BOXER-8645AI and Vecow RAC-1000 rugged Edge AI systems, and designed for edge AI applications such as in-vehicle computing, robotic control, machine vision, intelligent video analytics, and mobile robots. The device features eight GMSL2 connectors (input via two 4-pin Mini FAKRA interfaces) and supports up to 22-channel 1080p or 8K, 30fps H.265 video decoding. It delivers 275 TOPS of AI performance through the NVIDIA module, and integrates 64GB LPDDR5 RAM, 64GB eMMC storage, and offers M.2 NVMe and MicroSD card storage options. Other ports include a 10GbE RJ45 jack, five GbE jacks, USB 3.0, HDMI 2.0, RS232, RS485, CAN, and the system also supports WiFi 6, Bluetooth 5.2, 4G/5G cellular connectivity, and GPS/GNSS. Firefly EC-AGXOrin specifications: SoM – Jetson AGX Orin module with CPU – 12-core Arm Cortex-A78AE v8.2 64-bit processor with 3MB L2 + […]

August 19, 2025August 19, 2025

$3499 NVIDIA Jetson AGX Thor Developer Kit features 2070 TOPS Jetson T5000 SoM for robotics and edge AI

NVIDIA introduced the DGX Spark desktop solution for AI development and prototyping, delivering up to 1000 TOPS (FP4) of AI performance a few months ago. The company has now unveiled the Jetson AGX Thor Developer Kit, which looks similar at first, but it’s designed for edge AI and robotics with I/Os for cameras and sensors. The Jetson AGX Thor Developer Kit is equipped with a Jetson T5000 system-on-module with 2070 TOPS (FP4) of AI performance and high-bandwidth 128GB LPDDR5x memory, which delivers over 7.5x higher AI compute than the NVIDIA Jetson AGX Orin, and 3.5x better energy efficiency. A lower-end Jetson T4000 SoM is also in the works with 1200 TFLOPS and 64GB LPDDR5x. Jetson T5000 and T4000 system-on-modules Let’s look at the key features of the Jetson T5000 and T4000 first, noting that any information about the T4000 is still preliminary. Jetson AGX Thor Developer Kit Jetson Thor Developer […]

AAEON NV8600-Nano AI Developer Kit Review – Part 2: Benchmarks, features testing, AI demos with Nx Meta

In the first part of the review, I had a look at the hardware of the NV8600-Nano AI developer Kit featuring an NVIDIA Jetson Orin Nano 8GB module, booted it to Ubuntu 22.04, checked some system information, and made sure both the USB camera and Raspberry Pi Camera Module 2 (MIPI CSI) module worked fine.

I’ve now spent much more time with the Edge AI devkit, and report my experience in the second part of the review with some benchmarks, key features testing, and AI vision demos using Network Optix Nx Meta IP video management platform with the provided USB camera and an ONVIF-capable network camera.

August 11, 2025August 10, 2025

Compulab EdgeAI-ORN Jetson Orin NX/Nano computer supports up to 4x GSML2, FPD Link IV, or MIPI CSI camera inputs

Compulab EdgeAI-ORN industrial-grade Edge AI computer is based on NVIDIA Jetson Orin NX/Nano system-on-module and delivers up to 157 TOPS for AI workloads with passive (fanless) or active cooling options. The embedded box PC supports up to four camera inputs using GMSL2, FPD Link IV, or 4-lane MIPI CSI interfaces, one 2.5GbE and one gigabit Ethernet port, an option for four PoE gigabit Ethernet ports, and M.2 sockets for storage, wireless, and 4G LTE/5G cellular connectivity. Other features include four USB 3.2 ports, HDMI 2.1 video output, and an optional Allxon Bolt for remote OOB management. Compulab EdgeAI-ORN specifications: SoM – NVIDIA Jetson Orin NX/Nano module Jetson Orin NX 16GB – Up to 157 TOPS, 16GB LPDDR5, 10W / 15W / 25W / 40W power modes Jetson Orin NX 8GB – Up to 117 TOPS, 8GB LPDDR5, 10W / 15W / 25W / 40W power modes Jetson Orin Nano 8GB […]

March 26, 2025

Sterolabs ZED Box Mini is a compact NVIDIA Jetson Orin Nano/NX Vision AI PC with two GMSL2 camera inputs

Stereolabs ZED Box Mini “Super” is a compact mini PC based on NVIDIA Jetson Orin Nano or NX system-on-module and equipped with two GMSL2 camera inputs with synchronization trigger input/output, enabling AI Vision processing for robotics and smart infrastructure. The AI vision mini PC / embedded computer unit (ECU) also features a 256GB SSD, HDMI 1.4/2.1 video output, a gigabit Ethernet port, an optional Intel AX201 wireless module with two external antennas, a USB 3.0 port, a micro USB port for flashing the OS, and a 10-pin GPIO header with CAN Bus and UART for expansion. ZED Box mini specifications: System-on-Module (one or the other) NVIDIA Jetson Orin Nano 4GB | 34 TOPS NVIDIA Jetson Orin Nano 8GB | 67 TOPS NVIDIA Jetson Orin NX 8GB | 117 TOPS NVIDIA Jetson Orin NX 16GB | 157 TOPS Storage – 256GB SSD inserted in M.2 Key-M 2242 socket Video Output – […]

reComputer J3010B Jetson Orin Nano Edge AI Computer

March 18, 2025March 17, 2025

Seeed reComputer J3010B Edge AI PC features NVIDIA Jetson Orin Nano with up to 67 TOPS of AI performance

Seeed Studio’s reComputer J3010B Edge AI PC is built around the NVIDIA Jetson Orin Nano module, which offers up to 67 TOPS AI performance (67 TOPS in super mode), with up to 8GB LPDDR5 memory, and a pre-installed 128GB NVMe SSD for storage. The mini PC features two USB 3.2 ports, HDMI 2.1 video output, a Gigabit Ethernet jack, M.2 slots for SSD and Wi-Fi, a mini PCIe socket for LTE, a 40-pin GPIO header, and a 12-pin UART header. With a compact aluminum case and active cooling, it has an operating temperature range of -10 to 60°C and can be powered via a DC 9-19V input. These features make this device useful for AI, IoT, and edge computing applications, such as smart lampposts for traffic monitoring, EV battery swapping and charging systems, smart recycling centers for waste management, and more. reComputer J3010B specifications: SoM options NVIDIA Jetson Orin Nano […]

Vecow ECX 4000 Intel 200S powred fanless Edge AI system

January 22, 2025January 21, 2025

Vecow ECX-4000 – Intel Core Ultra 200S-powered fanless Edge AI embedded system features up to 9 Ethernet ports

Taiwan-based company Vecow has recently launched the ECX-4000 series, an Intel Core Ultra 200S-powered fanless Edge AI embedded system with up to nine Ethernet ports including two 10G SFP+ cages, five 2.5GbE ports (with 4 supporting PoE+), and a gigabit Ethernet jack, SUMIT (Stackable Unified Module Interconnect Technology) expansion, and a 9V to 50V DC redundant power input. The ECX-4000 supports the whole line of Intel Core Ultra 200S Series of Processors (Arrow Lake). It comes with W880 PCH which gives access to various I/O options including USB 3.2 Gen 2 ports, RS-232/422/485 serial ports, sixteen isolated digital I/O (8x input, 8x output, optional), DisplayPort, HDMI, and DVI-I video outputs. Additionally, it offers M.2 Key B and Key E sockets for wireless modules, and expansion options including multiple storage interfaces such as SATA III ports and an M.2 Key-M socket. The system also features a range of power and remote […]

January 21, 2025January 21, 2025

AAEON BOXER-8654AI-KIT – NVIDIA Jetson Orin NX-based Edge AI kit features four gigabit Ethernet ports with PoE support

The AAEON BOXER-8654AI-KIT Edge AI kit is a compact development kit built around the NVIDIA Jetson Orin NX modules with four gigabit Ethernet ports (with optional PoE) and an Out-of-Band (OOB) management header, and designed for applications like smart cities, IoT ecosystems, edge AI, and others. The multi-functional carrier board also offers six USB 3.2 Gen 2 ports, HDMI video output, two MIPI CSI, two DB-9 ports for RS-232/422/485 and CAN Bus, and a 40-pin NVIDIA Jetson-compatible GPIO header for I2C, SPI, and UART interfaces. Expansion options include M.2 E and B-key slots for Wi-Fi and 5G modules (with onboard SIM), an M.2 M-Key slot for NVMe SSDs, and a SATA connector. AAEON BOXER-8654AI-KIT specifications SoM – NVIDIA Jetson Orin NX module CPU 8GB Version – 6-core Arm Cortex-A78AE v8.2 64-bit CPU, 1.5MB L2 cache + 4MB L3 cache 16GB Version – 8-core Arm Cortex-A78AE v8.2 64-bit CPU, 2MB L2 […]

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