NVIDIA Jetson Orin Nano Super Developer Kit is an upgrade to the Jetson Orin Nano Developer Kit with 1.7 times more generative AI performance, a 70% increase in performance to 67 INT8 TOPS, and about half the price, making it a great development platform for generative AI at the edge, mostly robotics. We’ve seen several AI boxes and boards in the last year capable of offline generative AI applications like the Firefly AIO-1684XQ motherboard or Radxa Fogwise Airbox which I reviewed with Llama3, Stable diffusion, Imgsearch, etc… A product like the Fogwise Airbox delivers up to 32 TOPS (INT8) and sells for around $330 which was very competitive then (June 2024). However, the Jetson Orin Nano Super Developer Kit will certainly disrupt the market with over twice the performance, a lower price, and a larger developer community. NVIDIA Jetson Orin Nano Super specifications: NVIDIA Jetson Orin Nano 8GB Module CPU […]
LG opens the ThinQ API for Smart Home devices
LG Electronics (LG) has fully opened its ThingQ API for its Smart Home platform to enable developers to integrate their solutions with compatible LG appliances. The release covers both the API for individual users and corporate users. The ThinQ API for individual users supports the control and monitoring of AI appliances registered in the LG ThinQ app. It allows users to create customized Smart Home applications, for example, the popular Home Assistant home automation framework can already connect and control 26 types of LG AI appliances including refrigerators, water heaters, and washing machines. I can see the community has been working on LG ThinQ integration well before the release of the full release of the API, but maybe LG saw this and completly released the API to ease the work of developers. There are four main ThingQ APIs for individuals: Device API – Used to request ThinQ device information and […]
Nuvoton NuMicro MA35D1 SoM and SBC target industrial control, edge IoT gateway, and HMI applications
Forlinx Embedded OK-MA35-S21 SBC is based on the company’s FET-MA35-S2 SoM powered by a Nuvoton Numicro MA35D1 Arm Cortex-A35/M4F microprocessor, and offered with up to 1GB RAM and an 8GB eMMC flash. Designed for applications such as charging piles, HMI, industrial control, medical equipment, new energy, edge gateways, smart buildings, and smart agriculture, the MA35D1 SoM supports dual Gigabit Ethernet, CAN FD, up to 17x UART, 16x analog input, etc.. and the SBC further integrates RS485 and RS232 terminal blocks, WiFi and Bluetooth, and optional 4G LTE connectivity Forlinx FET-MA35-S2 SoM Specifications: SoC – Nuvoton NuMicro MA35D1 CPU 2x Arm Cortex-A35 cores at up to 800 MHz Arm Cortex-M4 processor core at up to 180 MHz GPU – 2D Graphic Engine (GFX) VPU – H.264 video decoder up to 1920×1080 @ 45 Hz; JPEG Image Decoder System Memory – 512MB/1GB DDR3L Storage – 8GB eMMC flash Carrier board interfaces – […]
iKOOLCORE R2 Max review – Part 2: 10GbE on an Intel N100 mini PC with OpenWrt (QWRT), Proxmox VE, Ubuntu 24.04 and pfSense 2.7.2
I’ve already checked out iKOOLCORE R2 Max hardware in the first part of the review with an unboxing and a teardown of the Intel N100 system with two 10GbE ports and two 2.5GbE ports. I’ve now had more time to test it with an OpenWrt fork, Proxmox VE, Ubuntu 24.04, and pfSense, so I’ll report my experience in the second and final part of the review. As a reminder, since I didn’t have any 10GbE gear so far, iKOOLCORE sent me two R2 Max devices, a fanless model and an actively-cooled model. I was told the fanless one was based on Intel N100 SoC, and the actively-cooled one was powered by an Intel Core i3-N305 CPU, but I ended up with two Intel N100 devices. The fanless model will be an OpenWrt 23.05 (QWRT) server, and the actively cooled variant be the device under test/client with Proxmox VE 8.3 server […]
Pico W5 is a Raspberry Pi Pico 2 W alternative with RP2350 MCU, dual-band WiFi 4, 8MB flash
The Pico W5 is a Raspberry Pi RP2350 development board providing an alternative to the official Raspberry Pi Pico 2 W with dual-band (2.4GHz/5GHz) WiFi 4 and Bluetooth 5.0 connectivity through a B&T BW16 wireless module. Besides dual-band WiFi, there are a few other small changes compared to the Raspberry Pi Pico 2 W, including a USB Type-C connector, a larger 8MB flash, and a Reset button. As far as I know, it’s the first RP2350 board with 5GHz WiFi, as other RP2350 boards with WiFi, such as the Challenger+ RP2350 WiFi6/BLE5 and Pimoroni Pico Plus 2 W, only support 2.4GHz WiFi. Pico W5 specifications: SoC – Raspberry Pi RP2350 CPU Dual-core Arm Cortex-M33 @ 150 MHz with Arm Trustzone, Secure boot and Dual-core RISC-V Hazard3 @ 150 MHz Only two cores can be used at any given time Memory – 520 KB on-chip SRAM Security 8KB of anti-fuse OTP […]
Olimex ESP32-P4-DevKit offers Ethernet, USB JTAG, MIPI DSI and CSI interfaces
Olimex ESP32-P4-DevKit is a compact development board powered by a 400 MHz ESP32-P4 general-purpose dual-core RISC-V microcontroller with a 10/100Mbps Ethernet RJ45 connector, a USB-C Serial/JTAG connector, MIPI DSI/CSI connectors for a display and a camera, GPIO headers and UEXT connector, Boot and Reset buttons, and a few LEDs. In some ways, it offers similar to the Waveshare ESP32-P4-NANO board we covered last month, but in a different form factor, and it lacks WiFi 6 connectivity and a USB Type-A connector. It’s also much more compact and cheaper than the official ESP32-P4-Function-EV-Board launched this summer, but again, with fewer features. Olimex ESP32-P4-Devkit: Microcontroller – ESP32-P4 MCU Dual-core RISC-V microcontroller @ 400 MHz with AI instructions extension and single-precision FPU Single-RISC-V LP (Low-power) MCU core @ up to 40 MHz GPU – 2D Pixel Processing Accelerator (PPA) VPU – H.264 and JPEG codecs support Memory – 768 KB HP L2MEM, 32 […]
How to use iperf3 in multi-thread mode for 10Gps+ Ethernet testing
With 10GbE becoming more widespread and often found in entry-level hardware, the CPU may become the bottleneck, so I’ll explain how to use iperf3 in multi-thread mode to fully saturate the 10GbE bandwidth even with a system based on a relatively low-end multi-core processor.
For this tutorial, I use two iKOOCORE R2 Max mini PCs with two 10GbE interfaces each and an Intel N100 quad-core processor running an OpenWrt fork (QWRT) and Proxmox VE (Debian) respectively. I will show how I can fully saturate the 10GbE interfaces using multithreading, but not with a typical iperf3 single-core test.
AMD Versal RF Series adaptive SoCs target 6G wireless, aerospace, and electronics test equipment
AMD Versal RF series adaptive system-on-chips (SoCs) combines Arm Cortex-A72 and Cortex-R5F hard cores with FPGA fabric and direct radio frequency (RF)-sampling data converters for pre-6G systems, wireless 6G testers, aerospace and defense applications like radars, and electronics test equipment such as multi-channel testers, oscilloscopes, and wideband spectrum analyzers. Built upon the Xilinx Zynq RFSoC devices, the AMD Versal RF Series supports wideband-spectrum with high-resolution thanks to up to sixteen 18 GHz, 14-bit RF ADCs with up to 32 GSPS and sixteen 14-bit RFV DACs up to 16 GSPS, and delivers 80 TOPS of DSP performance in a size, weight, and power (SWaP)-optimized design. The chips also integrate hard IP such as DDR5 memory controllers, 600 Gbps Ethernet, PCIe Gen5 x4, and various high-speed transceivers. AMD Versal RF Series adaptive SoCs key features and specifications: Processing System Application Processing Unit (APU) – Dual-core Arm Cortex-A72 with 48 KB/32 KB L1 […]