Forlinx FET3506J-S system-on-module (SoM) is based on a Rockchip RK3506J SoC, the industrial version of the RK3506 tri-core Cortex-A7 SoC, designed for smart industrial applications, and operating at a low power consumption of about 0.7 Watts. The Rockchip RK3506 SoC was first unveiled in 2023 through a product roadmap. However, we only spotted it in a product at the very end of 2024 with the Luckfox Lyra and Luckfox Lyra Plus featuring a MIPI CSI display connector and optional Ethernet. The Forlinkx FET3506J-S CPU module is the first platform with the industrial version (RK3506J), and the company also provides the OK3506 carrier board/development board for evaluation. Forlinx FET3506J-S system-on-module Specifications: SoC – Rockchip RK3506J CPU 3x Arm Cortex-A7 core up to 1.5 GHz or 1.6 GHz (depending on where one looks in the documentation) Arm Cortex-M0 real-time core GPU – 2D GPU only No VPU, no NPU System Memory – […]
Canonical now officially supports Ubuntu on NVIDIA Jetson system-on-modules
The NVIDIA JetPack SDK has been based on Ubuntu ever since it was created (although the Jetpack 6 SDK changed that somewhat), so I was surprised to read that Canonical now officially supports Ubuntu on NVIDIA Jetson, since I assumed there may have already been a partnership in place. The announcement explains that Canonical has announced the General Availability (GA) of Ubuntu for the NVIDIA Jetson Orin for edge AI and robotics “bringing enterprise-grade stability and support” to the popular system-on-modules. Canonical further explains the collaboration enables better performance with optimized Ubuntu images for the NVIDIA Jetson platform, enterprise-level security with updates and long-term support, a unified environment from edge to cloud, and improved stability and reliability with Canonical’s QA team performing over 500 OS compatibility-focused hardware tests. If we visit the NVIDIA Jetson page of the Ubuntu website, we’ll find Ubuntu Server 22.04 images for the Jetson AGX Orin, […]
NVIDIA DGX Spark – A desktop AI supercomputer powered by NVIDIA GB10 20-core Armv9 SoC with 1,000 TOPS of AI performance
NVIDIA DGX Spark may look like a mini PC, but under the hood, it’s a powerful AI supercomputer based on the NVIDIA GB10 20-core Armv9 SoC with Blackwell architecture delivering up to 1,000 TOPS (FP4) of AI performance, and high memory bandwidth (273 GB/s) with 128 GB 256-bit LPDDR5x. The GB10 SoC is equipped with ten Cortex-X925 cores, ten Cortex-X725 cores, a Blackwell GPU, 5th Gen Tensor cores, and 4th Gen RT cores. The system also features a 1 TB or 4TB SSD, an HDMI 2.1a video output port, 10GbE and WiFi 7 networking, and four USB4 ports. NVIDIA DGX Spark specifications: SoC – NVIDIA GB10 CPU – 20-core Armv9 processor with 10x Cortex-X925 cores and 10x Cortex-A725 cores Architecture – NVIDIA Grace Blackwell GPU – Blackwell Architecture CUDA Cores – Blackwell Generation 5th Gen Tensor cores 4th Gen RT (Ray Tracing) cores Tensor Performance – 1000 AI TOPS (FP4) […]
MediaTek Genio 720 and 520 AIoT SoCs target generative AI applications with 10 TOPS AI accelerator
The announcement of the MediaTek Genio 720 and Genio 520 octa-core Cortex-A78/A55 AIoT SoCs is one of the news I missed at Embedded World 2025. The new models appear to be updates to the Genio 700 and Genio 500 with a beefier NPU, and the Taiwanese company says the new Genio series supports generative AI models, human-machine interface (HMI), multimedia, and connectivity features for smart home, retail, industrial, and commercial IoT devices. Both are equipped with a 10 TOPS NPU/AI accelerator for transformer and convolutional neural network (CNN) models and support up to 16GB of LPDDR5 memory to handle “edge-optimized” (i.e. quantized) large language models (LLMs) such as Llama, Gemini, Phi, and DeepSeek, and other generative AI tasks. MediaTek Genio 720 and Genio 520 specifications: Octa-core CPU Genio 520 2x Arm Cortex-A78 up to 2.2 GHz (Commercial) or 2.0 GHz (Industrial) 6x Arm Cortex-A55 up to 2.0 GHz (Commercial) or […]
Makerdiary nRF9151 Connect Kit board offers LTE-M, NB-IoT, DECT NR+, and GPS connectivity, on-board battery charger
Makerdiary nRF9151 Connect Kit is a Nordic Semi nRF9151-based board with LTE-M, NB-IoT, GNSS, and DECT NR+ connectivity, an on-board battery charger, and a built-in nRF52820 “interface” MCU for debugging and programming. The board features a USB-C port for power and programming, two 20-pin headers for expansion with through and castellated holes, a nano SIM card slot and a footprint for an eSIM, user and reset buttons, and a few user LEDs. Makerdiary nRF9151 Connect Kit specifications: SiP – Nordic Semi nRF9151 CPU – Arm Cortex-M33 @ 64 MHz Memory – 256 KB SRAM Storage – 1 MB flash Wireless – LTE-M and NB-IoT modem with GNSS 700-2200 MHz LTE bands: B1-B5, B8, B12, B13, B17-B20, B25, B26, B28, B65, B66, B85 Power Class 5 20 dBm Power Class 3 23 dBm 1.9GHz NR+ band support Certified for global operation Security – Arm TrustZone + Arm CryptoCell Interface MCU – […]
GL.iNet Comet (GL-RM1) low-cost KVM-over-IP solution supports up to 2K resolution
GL.iNet has entered the low-cost KVM-over-IP market with the Comet (GL-RM1) remote KVM to remotely control any computer over an Ethernet connection with an HDMI port for video and audio input and a USB-C port for keyboard and mouse emulation. It’s an alternative to the Sipeed NanoKVM (Cube) with a more powerful quad-core processor, 1GB RAM, an 8GB eMMc flash, a gigabit Ethernet port, and support for up to 2K (2160×1440) resolution at 60 FPS. Comet GL-RM1 specifications: SoC – Quad-core CPU @ 1.5 GHz System Memory – 1GB DDR3 Storage – 8GB eMMC flash Video & Audio Input – HDMI port up to 2K @ 60 FPS (2160 x 1440 @ 60 FPS); H.264 encodding with 30 to 60ms latency Networking – Gigabit Ethernet RJ45 port USB USB 2.0 Type-A port to connect peripherals like a Fingerbot or ATX power control board USB 2.0 Type-C port for mouse/keyboard emulation […]
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 […]
IMDT V2N Renesas RZ/V2N SoM powers Edge AI SBC with HDMI, MIPI DSI, dual GbE, WiFi 4, and more
IMD Technologies has recently introduced the IMDT V2N SoM based on the newly launched Renesas RZ/V2N low-power AI MPU and its SBC carrier board designed for robotics, smart cities, industrial automation, and IoT applications. The SoM ships with 8GB RAM and 32GB eMMC flash, and supports various interfaces through B2B connectors including two 4-lane MIPI CSI-2 interfaces, a MIPI DSI display interface, and more. The SBC supports MIPI DSI or HDMI video output, dual GbE, WiFi 4 and Bluetooth 5.2, as well as expansion capabilities through M.2 sockets. IMDT V2N SBC specifications: IMDT V2N SoM SoC – Renesas RZ/V2N Application Processor – Quad-core Arm Cortex-A55 @ 1.8 GHz (0.9V) / 1.1 GHz (0.8V) L1 cache – 32KB I-cache (with parity) + 32KB D-cache (with ECC) per core L3 cache – 1MB (with ECC, max frequency 1.26 GHz) Neon, FPU, MMU, and cryptographic extension (for security models) Armv8-A architecture System Manager […]