Digilent Offers 2 Zynq-Based Linux Development Boards Supporting SYZYGY Expansion

Digilent Announces SYZYGY high-speed SBCs Digilent has announced two new SBCs that are ultra-high-speed and built to be more modular than its other boards.  The company, which has a great deal of experience in Pmod lower speed FPGA standards has now entered the open-source, SYZYGY high-speed standards with its Eclypse Z7 and the Genesys ZU  development SBCs. Background on the Digilent Zybo FPGA SoC SBC We reported on the Zybo development board FPGA SoC from Digilent and that seems to have lead to the latest format for the Eclypse Z7. Zmod There is also a release planned for the new Zmod modules, built to work with both the Eclypse Z7 and the Genesys ZU  as SYZYGY compliant expansion modules. Opal Kelly and Zmod expansion The Zmods are Opal Kelly module standard, called SYZYGY, first seen in the Opal Kelly SYZYGY Brain-1 SBC. The standard was developed to jump the gap […]

Up2Stream Pro HiFi Audio Receiver Board Streams Audio over WiFi, Bluetooth, Ethernet, or USB

Last December, we wrote about Up2Stream WiFi audio module designed for people wanting to build their own DIY wireless speakers. The module is based on  MediaTek MT7688AN MIPS processor with 64MB DDR2 and 16MB flash storage The module also comes with a small baseboard allowing for an easier connection to speakers. The company has now introduced Up2Stream Pro model based on the same module, but with a baseboard adding more features including Bluetooth, Ethernet, USB, and audio jacks. Up2Stream Pro key features and specifications: Audio Output – 3.5mm AUX jack and I2S header Input –  3.5mm AUX-in SNR: 91db THD: 0.03% Sample rate –  24bit up to 192kHz FLAC, Wav, and APE codec supported, but NOT SBC, APT-X, APT-X HD, or LDAC. Multiroom & Multizone support EQ control Connectivity – Ethernet, WiFi, and Bluetooth 5.0 Streaming Protocols – Airplay, DLNA, UPnP, Spotify Connect Compatible Services – Spotify, Deezer, Tidal, Qobuz, […]

ArmSoM CM5 Raspberry Pi CM4 alternative with Rockchip RK3576 SoC

Waveshare Jetbot AI Kit for NVIDIA Jetson Nano Board Sells for $100 and Up

NVIDIA Jetson Nano developer kit was launched for $99 last March with impressive specifications for the price including one module with four Arm Cortex-A57 cores, a 128-core Maxwell GPU, and 4GB LPDDR4 RAM. The company also introduced Jetbot robot based on the new board, with all instructions available on Github, but until now you had to put some efforts to build it up as the fairly long list of parts had to be purchased or 3D printed separately. It’s now become easier, as Waveshare has started selling their Jetbot AI kit on Amazon for $122.99 without Jetson Nano, and $259.99 with, meaning you may be better off purchasing NVIDIA board separately for around $100, or you may purchase the complete kit directly on Waveshare website for $215.99 plus shipping, or $99.99 without the SBC. Jetbot AI kit content: Optional NVIDIA Jetson Nano SBC 64GB micro SD Card Metal box Camera […]

Arduino Compatible ASME TIGER Board Supports Thread on NXP Kinetis KW41Z WiSoC

The new Arrow ASME Tiger board is the latest addition to the ASME line up, with an eye towards IoT hardware prototyping. The board carries two MCUs for different types of development depending on the operators need. The board is Thread and WiFi ready, and the Tiger is also Arduino compatible. The MCU’s are as follows: The ATSAMD21J18A-64 Ultra-low-power microcontroller using the 32-bit ARM Cortex-M0+ processor. The WiSoC is the KW41Z which is an ultra-low-power, highly integrated single-chip device that enables Bluetooth® low energy (BLE) v4.2 and IEEE® 802.15.4 RF connectivity for portable, extremely low-power embedded systems. The working unit is for very low power applications. The integrated balun reduces system cost and board area, and the sensors are plentiful and easy to access. You’ll find a user guide (PDF), as well a bootloader and sample code on Github. Specifications for the SMART SAMD21 Memory 256KB in-system self-programmable Flash 8KB […]

Cluster HAT Interfaces up to 4 Raspberry Pi Zero to Raspberry Pi 2/3/4 Board

Cluster HAT is a solution to the problem of building cluster computing. Distributed computing is difficult already, and this tiny hardware kit is one answer to the problem. Although building a computer cluster is not that easy,  it is one of the most impressive Raspberry Pi projects.  Why Cluster HAT? The Cluster HAT (Hardware Attached on Top)  interfaces a (Controller) Raspberry Pi A+/B+/2/3/4 with 4 Raspberry Pi Zeros. It is configured to use USB Gadget mode. Also, it is an ideal tool for teaching, testing or simulating small scale clusters. Cluster HAT leverages the flexibility of Raspberry Pi by allowing programmers to experiment with cluster computing. It is important you know that the HAT does not come with a Raspberry Pi or Pi Zero. The two are purchased separately. Pimoroni, the manufacturer, provides assembly and control instructions on its product page. Also,  they explain 3 ways of setting up the […]

Turing Pi Clusterboard Takes up to 7 Raspberry Pi Compute Modules

We’ve already covered several cluster solutions based on Raspberry Pi boards such as Bitscope Blade with up to 40 Raspberry Pi boards, a 16 Raspberry Pi Zero cluster board prototype, Circumference “datacenter-in-a-box” with up to 32 Raspberry Pi 3 B+ boards. If you want something more compact, it makes sense to develop a platform with Raspberry Pi Compute Modules instead, and we’ve already published news about MiniNodes Raspberry Pi 3 CoM Carrier Board that supports up to to 5 Compute Modules 3/3+ last year. There’s now another option with Turing Pi Clusterboard support up to 7 Compute Modules for applications leveraging Kubernetes, Docker, Jupyter Notebook, machine learning (TensorFlow/Caffe), and serverless stack. Turing Pi specifications: 7x Sockets for Raspberry Pi Compute Module 3/3+ Storage – 7x microSD card slots Video Output – 1x HDMI port, MIPI DSI connector Audio – 1x 3.5mm audio jack Camera I/F – 2x MIPI CSI connectors […]

Rockchip RK3568, RK3588 and Intel x86 SBCs and SoMs in 2025

SAMD21 MINI / Wemos D1 SAMD21 M0 Mini Development Board Sells for $7 and Up

Microchip / Atmel SAMD21 Arm Cortex-M0+ microcontroller has been around for several years, and we covered various boards based on the MCU include the official Arduino Zero launched in 2014, Arduino Tian, and the tiny SAM 15×15 or Exen Proto boards among others. Another SAMD21 development board has now shown up on Electrodragon website: SAMD21 Mini Development Board sold for $14.50 on the website, but you’ll also find it, under the RobotDyn or Wemos brand on Aliexpress for $7.05 and up. SAMD21 Mini Board / WeMos D1 SAMD21 M0 Mini Specifications: MCU – Microchip ATSAMD21G18 Arm Cortex-M0+ microcontroller @ 48 MHz with 32KB data RAM, 256KB flash USB – 1x micro USB port for power and programming Expansion 2x 14-pin headers with 19x digital I/O (including 12x PWM), 6x Analog I/O 3.3V logic level Programming – 6-pin ISCP connector Misc – Power, Tx and Rx LED’s, button Power Supply Input […]

Ivport Stereo CM Breakout board for Raspberry Pi Compute Module Supports Two Cameras

We’ve previously written about IVport V2 camera multiplexer board that can connect up to 16 cameras to a single Raspberry Pi board in order to create 360 degrees camera setups for example. The company also offered a version with two cameras for stereo recording and capturing modes. But if you’d rather use a Raspberry Pi Compute Module with or without eMMC flash, and use either Raspberry Pi camera V1 or V2, the company has launched Ivport Stereo CM breakout board with support for up to two cameras and exposing some extra ports. Ivport Stereo CM specifications: RPi module compatibility Raspberry Pi CM1 Raspberry Pi CM3 (eMMC equipped) Raspberry Pi CM3 Lite Raspberry Pi CM3+ (eMMC equipped) Raspberry Pi CM3+ Lite RPi camera compatibility Raspberry Pi Camera Module V1.3 (OV5647 sensor) Raspberry Pi Camera Module V2 (Sony IMX 219 sensor) Storage – microSD slot Video Output – HDMI Networking – 10/100M […]

Boardcon EM3562 Rockchip RK3562 SBC with 8 analog camera inputs