Cincoze MD-3000 is a high-performance, scalable DIN-Rail computer powered by a 12th, 13th, or 14th Gen Intel processor and designed to be expanded with up to six modules through the company’s “Scalable Expansion Deck” (SED) connected to the computer’s PCIe x16 slot. Based on an up to a 14th Gen 24-core Intel Core i9-14900 Raptor Lake-S Refresh CPU, the MD-3000 supports up to 96GB DDR5 SO-DIMM memory with optional ECC, up to two M.2 NVMe SSDs, and a 2.5-inch SATA bay, and is equipped with two 4K-capable DisplayPort connectors, five Gigabit Ethernet ports, four USB 3.2 ports, an RS232/RS485 DB9 connector and more. It mainly targets vision-driven smart manufacturing applications. Cincoze MD-3000 specifications: SoC (One or the other) 14th Generation Intel Raptor Lake-S Refresh Series – 35W Intel Processor 300T dual-core CPU @ 3.4 GHz, up to 65W Intel Core i9-14900 24-core CPU @ 5.8 GHz; 20 SKUs available 13th […]
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 […]
ASUS IoT PE3000N – An MIL-STD-810H-grade, modular NVIDIA Jetson T5000 Edge AI platform for robotics and automation solutions
Debashis just wrote about the Firefly EC-ThorT5000 embedded PC powered by an NVIDIA Jetson Thor T5000 system-on-module yesterday, and the ASUS IoT PE3000N is another rugged, modular Edge Platform powered by the 2,070 FP4 TFLOPS SoM offering MIL-STD-810H compliance, 12-60V input, 25GbE links, and support for up to sixteen GMSL cameras. The PE3000N features one HDMI 2.0 video output, GbE and 10GbE RJ45 ports, M.2 sockets for storage and wireless expansion, a PCIe x4/x8 slot, and several USB ports, as well as four 25GbE links and AGX CSI connector for up to 16x GMSL cameras for “high-bandwidth sensor fusion and advanced machine vision”, even in the most challenging environments. The Jetson T5000 embedded system also offers a scalable chassis and modular I/O layers that support interfaces such as PoE, GMSL, CAN, and QSFP28 within a compact 2U height. ASUS IoT PE3000N specifications: SoM – NVIDIA Jetson Thor T5000 module CPU […]
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), […]
Turris Omnia NG Wi-Fi 7 router features dual 10GbE SFP+, mini PCIe slot for 4G LTE/5G, runs OpenWrt-based Turris OS
The Turris Omnia NG is a high-performance Wi-Fi 7 router with a mini PCIe slot for 4G/5G modems, two 10GbE SFP+ cages, a 240×240 px color display, and a D-Pad button, running OpenWrt-based Turris OS, and designed for advanced home users, small businesses, and lab environments. Built around a 2.2 GHz Qualcomm IPQ9574 quad-core 64-bit Arm Cortex-A73 CPU, the Omnia NG supports Wi-Fi 7/6 tri-band connectivity. Additionally, it features four 2.5Gbps Ethernet ports, two USB 3.0 ports, NVMe storage support, and includes a 90 W power supply for attached peripherals. Other hardware highlights include rack-mount supports, a metal chassis, and antenna arrays for 4×4 MIMO operation. It comes 10 years after the original Turris Omnia open-source router was launched on Indiegogo. Turris Omnia NG Router specifications: CPU – Qualcomm IPQ9574 quad-core Arm Cortex-A73 processor @ 2.2GHz processor Memory – 2 GB RAM Storage 8 GB eMMC storage M.2 socket for […]
Nexalta Guardian NXG0042AI – Qualcomm IPQ9574-based networking solution with 10GbE, WiFi 7, 5G, local AI (Crowdfunding)
Nexalta Guardian NXG0042AI is a large networking and IoT gateway “monster” powered by a Qualcomm IPQ9574 chipset offering 10GbE and 2.5GbE networking, WiFi 7 support with up to five concurrent WiFi radios, up to four/seven 5G modems, up to 52 (e)SIMs, and two on-board Compute Module slots for Rockchip RK3588 or NVIDIA Jetson SO-DIMM system-on-modules. The main board (XWR A1) also offers 25Gbps WAN fabric, three MCUs for BMC, power management, and cryptography, M.2 slots for NVMe storage or AI accelerators, two mSATA sockets, HDMI video output, USB ports, Starlink satellite support, and a range of IoT protocol options such as LoRaWAN, 5G RedCap, UWB, Bluetooth LE, and so on. Nexalta Guardian specifications: Main SoC subsystem SoC – Qualcomm IPQ9574 quad-core Arm Cortex-A73 processor @ 2.2GHz processor System Memory – 2GB DDR4 RAM Storage – 8GB eMMC flash, 64MB NOR flash SoM sub-system 2x 260-pin SO-DIMM sockets for: Turing RK1 […]
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 + […]
GIGABYTE AI TOP ATOM – An NVIDIA GB10 desktop AI supercomputer with 1 petaFLOP AI, 10GbE, 128GB RAM
GIGABYTE has introduced the AI TOP ATOM, a compact desktop AI supercomputer with 1 petaFLOP of AI performance, which is very similar to NVIDIA DGX Spark. That’s because it’s also built around the NVIDIA Grace Blackwell GB10 Superchip. Housed in a 1-liter chassis, it’s designed for generative AI, large language models, and machine learning workloads directly on the desktop. The AI TOP ATOM features 128 GB of LPDDR5x unified memory, supports up to 4 TB PCIe Gen5 SSD storage. The 1,000 TOPS (1 petaFLOP) FP4 of AI compute enables it to handle models with up to 200 billion parameters, or 405 billion in a dual-system configuration. Connectivity includes 10GbE networking, Wi-Fi 7, Bluetooth 5.3, HDMI 2.1a, and multiple USB 3.2 Gen 2×2 Type-C ports. GIGABYTE AI TOP ATOM specifications: SoC – NVIDIA GB10 CPU – 20-core Armv9 processor with 10x Cortex-X925 cores and 10x Cortex-A725 cores Architecture – NVIDIA Grace […]

