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MYiR Tech launches AMD XC7A100T Artix-7 FPGA system-on-module and development board with PCIe, SFP+ cages, dual GbE

MYIR MYC-J7A100T is a System-On-Module (SoM) powered by an AMD/Xilinx Artix-7 XC7A100T FPGA with up to 101,440 logic cells, 512MB DDR3 memory, 32MB QSPI FLASH, 32KB EEPROM, DC-DC power management, and other integral circuits in a compact 69.6 x 40mm form factor. The module exposes up to 178 FPGA I/Os, four pairs of GTP high-speed transceiver interfaces, and a JTAG interface through its 260-pin edge connector. MYiR also provides a development board for the MYC-J7A100T module which looks like a PCIe 2.0 card and comes with SFP+ cages, HDMI input and output ports, dual GbE, and a GPIO expansion header. MYIR MYC-J7A100T system-on-module Specifications: FPGA – AMD/Xilinx XC7A100T Artix-7 FPGA (XC7A100T-2FGG484I) with 101,440 logic cells 4,860 Kb of Block RAM 240 DSP slices 8 GTP transceivers capable of reaching speeds up to 6.6Gb/s PCIe Gen2 x4  interface Up to 300x single-ended I/Os System Memory – 512MB DDR3 Storage – 32MB […]

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Espressif releases Arduino ESP32 Core 3.0.0, but PlatformIO support is in doubt

We previously noted the ESP32 Arduino Core 3.0.0 Alpha release added support for ESP32-C6 and ESP32-H2 among other changes. The good news is that Arduino ESP32 Core 3.0.0 is now considered stable, and was released a few days ago based on the ESP-IDF 5.1.4 framework. Users of the Arduino IDE can use it straight away, but as we’ll discuss in more detail below it’s unclear whether PlatformIO will be (officially) supported. There have been many changes since we wrote about the Alpha2 release in November 2023 with 327 commits from 96 contributors. Some of the most recent changes (compared to RC3) include: Updated ESPDuino with extra options (CPU freq and Partition) Add support for WeAct Studio ESP32C3 Attach ETH events at the correct place Enable the possibility to use SPI ETH with only 4 wires Fix ETH.end() Fix ETH.stop() with IDF SPI Nano ESP32: delete programmer.default entry (on main) due […]

ArmSoM RK3588 AIModule7 NVIDIA Jetson Nano-compatible SOM
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LILYGO T-Camera-Plus-S3 – An ESP32-S3 powered dev board with night vision camera and touchscreen display

The LILYGO T-Camera-Plus-S3 is an ESP32-S3 development board designed for building smart home devices, monitoring systems, and other connected projects. The board features a 1.3-inch TFT LCD and the option to choose from OV2640 or OV5640 camera modules. The T-Camera-Plus-S3 can be considered an upgrade from the T-Camera S3, which was introduced in 2022. The upgraded features include a 1.3″ SPI TFT LCD (240×240), a microphone with MAX98357A codec and external speaker support, support for a micro SD card, a battery connector, and many other features. Previously we have written many different types of ESP32-S3-based boards like the Waveshare ESP32-S3-Matrix, ESP32-S3-Tiny board, and Unexpected Maker NANOS3 feel free to check those out if you are looking for unique ESP32 boards. LILYGO T-Camera-Plus-S3 specification ESP32-S3-WROOM-1 wireless module SoC –  ESP32-S3R8 dual-core Tensilica LX7 microcontroller @ 240 MHz (Note: this SKU is not listed in the official ESP32-S3 datasheet) with 2.4 GHz 802.11n […]

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WCH CH32V002 32-bit RISC-V MCU comes with 4KB SRAM, supports 2V to 5V DC supply voltage

WCH CH32V002 is an industrial-grade general-purpose 32-bit RISC-V microcontroller that is pin-to-pin compatible with the popular CH32V003 MCU with 4KB SRAM instead of 2KB, a wider input voltage range from 2V to 5V, and other improvements. Earlier this month we wrote about the WCH CH32V006 RISC-V microcontroller that offers an upgrade to the CH32V003 with more I/Os, memory, and storage, requiring a new PCB layout. But now, the Chinese company has unveiled a pin-compatible alternative with the CH32V002 that adds more SRAM, uses the new V2C core with RV32EmC instruction set (also used in the CH32V006), offers a larger bootloader and configuration memories, upgrades the ADC to 12-bit, and adds support for 8-channel touch-key channel detection. WCH CH32V002 specifications (highlights in bold show differences against the CH32V003): CPU – 32-bit “RISC-V2C” core up to 48 MHz using RV32EmC instruction set Memory – 4KB SRAM Storage – 16KB flash, 3328 Bytes […]

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Simply NUC extremeEDGE fanless edge computing servers are powered by Intel Celeron N5105 up to AMD Ryzen 7 Pro 8840U CPUs

Simply NUC has unveiled the extremeEDGE fanless servers designed with edge computing with a wide range of processors starting with an Intel Celeron N5105 and going up to an AMD Ryzen 7 Pro 8840U SoCs with options for Intel Processor N100 and AMD Ryzen Embedded CPUs. All models feature a NANO-BMC (Baseboard Management Controller) for out-of-band management in a small form factor to monitor, control, and manage hardware health and performance, and come with at least two 2.5GbE ports for networking. The top-end edgeExtreme 3000 series can operate in the industrial-grade -40 to +85°C temperature range, and offers extra features such as 10GbE, up to 96GB RAM, multiple USB 3.2 ports, and more. The extremeEDGE lineup offers three series, and eight models, designed to meet specific needs: extremeEDGE 1000 Series for Edge applications such as IoT gateways EE-1000 Series – Intel Celeron N5105 with up to 32 GB RAM, up […]

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SupTronics Raspberry Pi 5 UPS HAT X1202 V1.1 takes four 18650 batteries delivering up to 25W

For the tinkerers and DIYers out there, keeping a Raspberry Pi project running reliably, day in and day out, especially when the power is out is crucial, and previously Raspberry Pi UPS solutions have been available for years with products like Pascal Herczog’s Red Reactor, PiJuice Zero, PiVoyager, or LiFePO4wered/Pi+ and many others. But the problem with all these old solutions is that they cannot handle the power requirements of the new Raspberry Pi 5, especially when the PCIe is active and other peripherals are attached to it.  This is where the SupTronics Raspberry Pi 5 UPS HAT comes in. This new SupTronics X1202 V1.1 UPS Shield includes four 18650 batteries and can deliver 5V with a higher current output of up to 5A, or 25W of power. Additionally, it includes automatic power switching and battery level detection via I2C, an integrated fuel-gauge system, battery protection mechanisms, and fast charging support, making […]

Rockchip RK3568, RK3588 and Intel x86 SBCs and SoMs in 2025
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50W high-power wireless charging boards target industrial, medical, and smart home applications

STMicro has introduced a combo of 50W wireless charging transmitter and receiver boards, namely the STEVAL-WBC2TX50 transmitter board and the STEVAL-WLC98RX receiver board, for the development of high-power wireless charging solutions such as medical and industrial equipment, home appliances, and computer peripherals. The transmitter board, based on the STWBC2-HP transmitter system-in-package (SiP), supports up to 50W of output power using the STMicro’s proprietary Super Charge (STSC) protocol, as well as the Qi 1.3 5W Baseline Power Profile (BPP) and 15W Extended Power Profile (EPP). The receiver board, based on the STWLC98 wireless power receiver IC, can handle up to 50W charging power through STSC, supports Qi BPP and EPP charging, and implements features such as Adaptive Rectifier Configuration (ARC) to extend charging distance by up to 50% and accurate voltage and current measurement for Foreign Object Detection (FOD). STEVAL-WBC2TX50 transmitter board highlights: STWBC2-HP wireless power transmitter chip MCU – STM32G071 […]

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EdgeCortix SAKURA-II Edge AI accelerator deliver up to 60 TOPS in an 8W power envelope

EdgeCortix has just announced its SAKURA-II Edge AI accelerator with its second-generation Dynamic Neural Accelerator (DNA) architecture delivering up to 60 TOPS (INT8) in an 8Watts power envelope and suitable to run complex generative AI tasks such as Large Language Models (LLMs), Large Vision Models (LVMs), and multi-modal transformer-based applications at the edge. Besides the AI accelerator itself, the company designed a range of M.2 modules and PCIe cards with one or two SAKURA-II chips delivering up to 120 TOPS with INT8, 60 TFLOPS with BF16 to enable generative AI in legacy hardware with a spare M.2 2280 socket or PCIe x8/x16 slot. SAKURA-II Edge AI accelerator SAKURA-II key specifications: Neural Processing Engine – DNA-II second-generation Dynamic Neural Accelerator (DNA) architecture Performance 60 TOPS (INT8) 30 TFLOPS (BF16) DRAM – Dual 64-bit LPDDR4x (8GB,16GB, or 32GB on board) DRAM Bandwidth – 68 GB/sec On-chip SRAM – 20MB Compute Efficiency – […]

Boardcon EM3562 Rockchip RK3562 SBC with 8 analog camera inputs