Velxio is an open-source, self-hosted Arduino, Raspberry Pi, and ESP32 simulator
Velxio is an open-source, self-hosted simulator for Arduino, ESP32, and Raspberry Pi boards that works directly in your web browser. You can drag-and-drop boards, connect components and modules, write and run code in Arduino or Python, and access the serial console, all without hardware. If it looks similar to what the Wokwi simulator has to offer, it's because Velxio was inspired by it and even integrates the AVR8 CPU emulator, RP2040 emulator, and QEMU fork for ESP32 Xtensa emulation from the Wokwi project. But the key difference is that Velxio can be self-hosted, although there's also an online demo. Velxio currently supports 19 targets across five architectures AVR8 (ATmega / ATtiny) Arm Cortex-M0+ (Raspberry Pi RP2040) RISC-V RV32IMC/EC (ESP32-C3 / CH32V003) Xtensa LX6/LX7 (ESP32 / ESP32-S3 via QEMU) Arm Cortex-A53 (Raspberry Pi 3 Linux via QEMU) The project also offers 48 components. The developer mentions that additional features compared to
Raspberry Pi 4 3GB launched for $83.75, further price increases announced across the board for 4GB+ RAM hardware
This may sound like an April Fool's joke, but the Raspberry Pi 4 with 3GB RAM is real and now offered for $83.75. Raspberry Pi also announced another round of price increase for Raspberry Pi 4/5/CM4/CM5 due to a "seven-fold increase over the last year in the price of LPDDR4 DRAM". As far as I know, 3GB LPDDR4 chips do NOT exist or are very rare, so the new SBC likely relies on the Raspberry Pi 4 dual RAM PCB variant introduced last month, and features two 1.5GB LPDDR4 chips for a total of 3GB of RAM. Apart from the memory capacity, nothing else changes. If you are still skeptical, you'll find the Raspberry Pi 4 3GB listed on the product page and on resellers such as Robu (India) and RaspberryPi.dk. It's also not the first SBC with 3GB of RAM around, since Orange Pi 4 LTS was introduced with
Luckfox Lume – A compact Allwinner T153 SBC with dual GbE, PoE, GPIO header, and MIPI interfaces for industrial HMI applications
Luckfox Lume is a compact industrial SBC powered by an Allwinner T153 quad-core Cortex-A7 SoC with a low-power RISC-V core, and equipped with 128MB DDR3, 256MB SPI NAND flash, and dual Gigabit Ethernet The board also features a microSD card slot, a USB 2.0 Type-A port, a USB Type-C port, MIPI DSI and CSI connectors, and a 40-pin GPIO header suitable for a range of HMI applications. By default, the board is powered through USB-C, but a PoE model is also available. Luckfox Lume specifications: SoC – Allwinner T153 M3-QCX CPU 4x Arm Cortex-A7 cores @ up to 1.6GHz XuanTie E907 RISC-V core @ up to 600MHz GPU – 2D GPU only No VPU, no NPU System Memory - 128 MB built-in DDR3 (TBC) Storage 256 MB SPI NAND flash (Winbond 25N02KVZEIR) MicroSD card slot Display Interface - 4-lane MIPI DSI Camera Interface - 2-lane MIPI CSI Networking - 2x
This Raspberry Pi-like single-board PC is powered by an ESP32-P4C6 module with a 400 MHz dual-core RISC-V MCU, support for WiFi 6 and Bluetooth 5, 10/100 Ethernet, microSD card reader and 40-pin GPIO header.
https://www.cnx-software.com/2026/03/27/esp32-p4-pi-viewe-raspberry-pi-esp32-p4-esp32-c6-board/ #ESP32P4PiVIEWE #ESP32P4 #ESP32 #ESP32C6 #RISCV #SingleBoardComputer
ESP32-P4-Pi-VIEWE – A Raspberry Pi-inspired ESP32-P4 + ESP32-C6 board with Ethernet, USB, 40-pin GPIO header, and more
The ESP32-P4-Pi-VIEWE is a Raspberry Pi-inspired development board equipped with a VIEWE ESP32-P4C6-Core module, combining a 400 MHz ESP32-P4 dual-core RISC-V MCU with an ESP32-C6 chip for Wi-Fi 6 and Bluetooth 5.0 wireless connectivity, as well as 32MB PSRAM and 16MB NOR flash. The board also offers 10/100Mbps Ethernet connectivity, MIPI DSI, and CSI connectors for display and/or camera, two onboard microphones, a speaker output, a USB 2.0 port, a micro SD card slot, and the usual 40-pin GPIO header, all in a familiar 85 x 56 mm credit card form factor. ESP32-P4-Pi-VIEWE specifications: Main module - VIEWE ESP32-P4C6-Core Microcontroller – ESP32-P4NRW32 MCU Dual-core RISC-V microcontroller @ 360/400 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 KB LP SRAM,
ESP32-P4-Pi-VIEWE – A Raspberry Pi-inspired ESP32-P4 + ESP32-C6 board with Ethernet, USB, 40-pin GPIO header, and more
https://fed.brid.gy/r/https://www.cnx-software.com/2026/03/27/esp32-p4-pi-viewe-raspberry-pi-esp32-p4-esp32-c6-board/
ESP32-P4-Pi-VIEWE – A Raspberry Pi-inspired ESP32-P4 + ESP32-C6 board with Ethernet, USB, 40-pin GPIO header, and more
The ESP32-P4-Pi-VIEWE is a Raspberry Pi-inspired development board equipped with a VIEWE ESP32-P4C6-Core module, combining a 400 MHz ESP32-P4 dual-core RISC-V MCU with an ESP32-C6 chip for Wi-Fi 6 and Bluetooth 5.0 wireless connectivity, as well as 32MB PSRAM and 16MB NOR flash. The board also offers 10/100Mbps Ethernet connectivity, MIPI DSI, and CSI connectors for display and/or camera, two onboard microphones, a speaker output, a USB 2.0 port, a micro SD card slot, and the usual 40-pin GPIO header, all in a familiar 85 x 56 mm credit card form factor. ESP32-P4-Pi-VIEWE specifications: Main module - VIEWE ESP32-P4C6-Core Microcontroller – ESP32-P4NRW32 MCU Dual-core RISC-V microcontroller @ 360/400 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 KB LP SRAM,
Radxa AICore DX-M1M M.2 2242 low-power AI module delivers 25 TOPS of edge AI performance for just 3W of power
Radxa AICore DX-M1M is a compact, low-power M.2 edge AI acceleration module built around the DeepX DX-M1M neural processing unit (NPU) and delivers up to 25 TOPS (INT8) of AI performance while consuming only 3W of power. Designed for industrial robot arms, autonomous mobile robots (ARM), edge servers, drones, and AIoT devices, the module delivers high-performance AI and ML capabilities without blowing the power budget. It relies on a PCIe Gen3 x2 interface and works with both x86 and Arm systems, including the Raspberry Pi 5 and Radxa ROCK SBCs. AICore DX-M1M specifications: AI Accelerator – DeepX DX-M1M neural processing unit (NPU) with up to 25 TOPS AI System Memory – 1GB LPDDR4X @ 4266 MT/s (on-chip, supports up to 8GB according to DeepX) Storage – 1Gbit QSPI NAND / NOR flash Host Interface - PCIe Gen 3.0 x4 (supports Gen 1/2/3 and x1/x2) via M.2 M + B Key connector
Avaota F2 – Allwinner V861 RISC-V SBC targets AI cameras with PTZ and audio support
Avaota F2 is the first SBC based on an Allwinner V861 dual-core 64-bit RISC-V SoC with 128MB on-chip DDR3 memory, support for 4K cameras, a H.265 video codec, and a 1 TOPS AI accelerator. It's an update to the earlier Avaota F1 camera board based on an Allwinner V821 SoC. The new open-source hardware F2 SBC offers several benefits, including support for both Full HD and 4K camera sensors, motor control for the PTZ (Pan-Tilt-Zoom) feature, and improved audio support through speaker (one) and microphone (two) connectors. However, the F1 also included WiFi, which the Avaota F2 lacks. Avaota F2 specifications: SoC – Allwinner V861M2-XXX CPU Dual-Core RISC-V XuanTie C907 (RV64GCBV/RV32GGCBV) clocked up to 1.4GHz with RVV 1.0 extensions Single-core RISC-V XuanTie E907 (RV32IMAFC) clocked up to 800MHz VPU Video Encoder H.264/H.265 up to 4K @ 25fps (M)JPEG up to 8192×8192 Video Decoder – (M)JPEG up to 1080p60 AI accelerator
COM HPC Mini-sized VersaLogic Raptor “Embedded Processing Unit” features 13th gen Intel Core i5-1345URE or Processor U300E SoC
VersaLogic Raptor (VL-EPU-5530) Embedded Processing Unit is powered by a 13th Gen Intel Core i5-1345URE or Processor U300E SoC and designed for high-performance computing applications in harsh environments with a -40 to +85°C temperature range and MIL-STD-202H shock and vibration qualification. The COM HPC Mini-sized (95 x 80 x 36mm) board supports up to 64 GB of soldered-down LPDDR5 memory, features vertical USB4, USB 3.0 Type-A, and mini DisplayPort connectors, two 2.5 Gbps Ethernet ports with TSN support, and three M.2 expansion sockets for NVMe SSDs, AI accelerators, or other expansion modules. Specifications: Raptor Lake SoC (one or the other) Intel Processor U300E 5-core/6-thread processor with 1x P-core @ 1.1 GHz / 4.3 GHz (Turbo) 4x E-cores up to 3.2 GHz (Turbo), 8MB Cache, 48EU Intel UHD Graphics up to 1.1 GHz; PBP: 15W Intel Core i5-1345URE 10-core/12-thread processor with 2x P-cores @ 1.4 GHz / 4.6 GHz (Turbo), 8x
Secondly and, again, lastly but no means leastly, there's a new BeagleBoard in town: the BeagleBadge, a TI-powered (naturally) open-hardware single-board computer with, unusually for the family, an ePaper screen and a bunch of integrated sensors.
https://www.hackster.io/news/beagleboard-org-unveils-the-beaglebadge-a-compact-all-in-one-open-hardware-epaper-badge-board-db18e2ec51b5
#Technology #News #Hackster #SingleBoardComputer #Badge #OpenHardware
BeagleBoard.org Unveils the BeagleBadge, a Compact All-In-One Open-Hardware ePaper Badge Board
Application-class Texas Instrument chip delivers support for Linux, Zephyr RTOS, LVGL, MicroPython, Meshtastic and ActivityPub.
Makerfabs CM0IQ – An ultra-compact (42x36mm) Raspberry Pi CM0 Lite board
The CM0IQ is an ultra-compact board based on the Raspberry Pi CM0 Lite Compute Module. It measures just 42 × 36 mm and squeezes multiple interfaces into a 15.1 cm² footprint, making it suitable for space-constrained applications such as robotics, IoT devices, and custom hardware integrations. Despite being smaller than a Raspberry Pi Zero 2 W (19.5 cm²), the CM0IQ manages to include a full-sized USB-A port, a Micro HDMI port, and 4-lane MIPI CSI and DSI connectors. To fit everything into this small footprint, the designer also relied on a 1.27 mm 40-pin GPIO header rather than the standard 2.54 mm header. The board also features a USB Type-C for power, a microSD card slot for storage, 5V solder pads for power input, and four M2 mounting threads. Raspberry Pi CM0IQ Specifications: SoM – Raspberry Pi CM0 Lite SoC – Broadcom BCM2710A1 CPU – Quad-core Cortex-A53 processor @ 1.0 GHz
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