Antenna for NanoPi NEO Plus2 IPX Connector

reComputer J4012-Edge AI Device with NVIDIA Jetson Orin™ NX 16GB module, 4xUSB 3.2, M.2 Key E & Key M Slot, Aluminum case, Pre-installed Jetpack System with NVIDIA JetPack™ on 128GB NVMe SSD

The Spartan Edge Accelerator Board is an FPGA board developed by Xilinx Spartan in the form of a Shield for the Arduino UNO board. In addition, the integrated ESP32 chip also provides WiFi and Bluetooth functionality.

The reComputer J101 carrier board  is an NVIDIA Jetson Nano compatible support board, rich in cost and interface. It includes HDMI2.0, 2x USB 2.0, 1x USB 3.0, micro SD card slot, 2 xCSI, M.2 key E WIFI / BT, GPIO, I2C, I2S, Fan, and other rich peripheral interfaces. It has almost the same functional design and exactly the same size as the NVIDIA® Jetson Nano™ B01 Developer Kit carrier card.

SparkFun Qwiic Shield for Teensy is a quick and easy way to prepare an expansion board equipped with Qwiic connectors . This shield is compatible with Teensy 4.0, Teensy 3.2 and Teensy LC boards. The board is equipped with an I2C bus connector (GND, 3.3 V, SDA and SCL) and four SparkFun Qwiic connectors

Digispark is a development board based on the ATTINY85 microcontroller from ATMEL born in a successful campaign on Kickstarter.
Similar to the Arduino line , It is one of the smallest boards on the market.
Programmable directly from USB with the same Arduino tools. It has a built-in Micronucleus bootloader and can be replaced by similar ones such as the Trinket bootloader. Adafruit or others.
You can use many of the same Arduino libraries and you have your own on the digispark wiki. Arduino compatible Attiny85 Digispark board features:
- USB power supply
- External power supply (7v-35v DC 12v maximum recommended)
- 5V DC 500mA regulator on board
- Programmable with the Arduino IDE
- Loaded with Micronucleus bootloader

reComputer  J3011-Edge AI device with NVIDIA Jetson Orin™ Nano 8GB module, 4xUSB 3.2, WiFi/BT, M.2 Key E and Key M slot, aluminium case, Jetpack system pre-installed with NVIDIA JetPack™ on 128GB NVMe SSD.

This one is a classic! Hardkernel, company of the fathers of well-known ODROID microcomputers, has hit the sweet spot with this old-school GameBoy emulator. Design your own games and improve the existing ones with only Arduino IDE knowledge!

This product is an SXD28335_QFP learning chart for development including a TMS320F28335 processor with very broad features:. DSP Learning Board C2000 DSP28335 Processor Texas Instruments TMS320F28335 features:
Letter SXD28335_QFP - Description of material: - Main processor TMS320F28335 32-bit digital high-speed floating point processor, the maximum working frequency is 150 MHz
- Memory on the chip: FLASH: 256Kx16 bit; SRAM: 34Kx16bit; Boot ROM: 8Kx16bit; OTP ROM: 1Kx16bit,
- Peripherals on the chip: ePWM (improved PWM version): 12 tracks; HRPWM (high resolution PWM): 6 tracks; EQEP (enhanced version orthogonal coding pulse unit): 2 channels; ADC: 2X8 channels, 12 bits, 80 ns conversion time, 0 ~ 3V range

This product is a ZQ28335 development chart for learning including a TMS320F28335 processor with very broad features:. DSP Learning Board ZQ28335 DSP28335 Microprocessor TMS320F28335 features:
- Main processor TMS320F28335 32-bit digital high-speed floating point processor, the maximum working frequency is 150 MHz
- Memory on the chip: FLASH: 256Kx16 bit; SRAM: 34Kx16bit; Boot ROM: 8Kx16bit; OTP ROM: 1Kx16bit
- Peripherals on the chip: ePWM (improved PWM version): 12 tracks; HRPWM (high resolution PWM): 6 tracks; EQEP (enhanced version orthogonal coding pulse unit): 2 channels; ADC: 2X8 channels, 12 bits, 80 ns conversion time, 0 ~ 3V range

NVIDIA® Jetson Nano ™ Developer Kit is a small computer with powerful capabilities that allows you to run multiple neural networks in parallel for applications such as image classification, segmentation, speech processing and object detection. All this in an easy-to-use platform that runs on just 5 watts. Thanks to this board, the power of modern Artificial Intelligence is now available to Makers, students and embedded developers everywhere. Discover the power of AI and robotics with the powerful 4GB NVIDIA Jetson Nano Developer Kit. Now educators, students, and any enthusiast can easily perform AI projects quickly and efficiently using their GPU-accelerated NVIDIA software.