Last year, Geehy introduced the industry’s first dual-core Cortex-M52 real-time MCU, and has now followed up with the G32R430, an Arm Cortex-M52 Encoder MCU with two 16-bit ADCs and a hardware ATAN (arctangent) accelerator for sub-1 µs electrical angle computation in high-precision encoder and motion control systems. The MCU is clocked at 128 MHz and uses ITCM/DTCM tightly coupled memory for deterministic, zero-wait-state execution, alongside a 4KB cache for low-latency control loops. It integrates two 16-bit high-precision ADCs with support for synchronous sampling, along with an extra 12-bit ADC, multiple analog comparators, DACs, and an on-chip temperature sensor, allowing encoder designs to be built with very few external analog components. It also supports various encoder protocols, including BiSS-C, SSI, Tamagawa, and SPI, and includes generic interfaces like USART, SPI, and I²C. With a –40°C to +105°C industrial operating range, this MCU is suitable for servo motors, industrial robots, absolute and incremental […]
2-channel GMSL camera adapter board supports Raspberry Pi 5 and NVIDIA Jetson Orin Nano/NX
After phasing out the earlier MAX9296-GMSL-Camera-Board, Waveshare has now released the MAX9296-GMSL-DESER-MODULE 2-channel GMSL camera adapter board designed for high-speed, low-latency video transmission on the Raspberry Pi 5 and NVIDIA Jetson Orin Nano/NX developer kits. The adapter is built around the MAX9296A deserializer, and supports two MATE-AX FAKRA Z coaxial inputs for long-distance video transmission and two 22-pin CSI outputs for connection to the host. It supports both GMSL1 and GMSL2 cameras (such as the Sony ISX031) via software configuration and is compatible with serializers like the MAX9295, MAX96717, and MAX96705. These features make it suitable for applications such as robotics, autonomous driving, surround-view systems, and more. Waveshare MAX9296-GMSL-DESER-MODULE specifications: Compatible boards – Raspberry Pi 5, Jetson Orin Nano, Jetson Orin NX developer kits Deserializer IC – Maxim (ADI) MAX9296A GMSL Inputs – Supports two GMSL2 cameras(ISX031) via MATE-AX FAKRA Z connectors (backward compatible with GMSL1) Output Interfaces – 2x 22-pin […]
StackChan is a cute, community-build, open-source AI desktop robot (Crowdfunding)
StackChan is an open-source AI desktop robot based on the M5Stack CoreS3 ESP32-S3 IoT controller that works as an AI Voice Assistant and can notably be used for Smart Home & IoT control. It features a 2-inch touchscreen display, a VGA camera, a dual microphone array and a 1W speaker for voice interaction, a few sensors, an infrared receiver, an infrared transmitter/blaster, two servos for horizontal and vertical movement, and a few buttons and LEDs. StackChan specifications: Core module – M5Stack CoreS3 IoT controller Wireless MCU – Espressif Systems ESP32-S3FN16R8 CPU – Dual-core 32-bit Xtensa LX7 microcontroller with AI vector instructions up to 240MHz, RISC-V ULP co-processor Memory – 512KB SRAM, 8MB PSRAM Storage – 16MB flash, Wirleess – 2.4GHz WiFi 4 (802.11b/g/n), Bluetooth 5.0 BLE + Mesh Antenna – Internal 3D antenna Storage – MicroSD card slot Display – 2-inch IPS display with 320×240 resolution, 65,536 colors via ILI9342C […]
AMD Embedded+ mini-ITX Board features Ryzen AI Embedded P132 CPU, Versal AI Edge Gen2 VE3558 SoC FPGA
At CES 2026, Sapphire Technology introduced the EDGE+VPR-7P132, an “AMD Embedded+” Mini-ITX motherboard built around AMD’s newly announced Ryzen AI Embedded P100 series of SoCs, namely the hexa-core Ryzen P132 (V4526iX) CPU, and an AMD Versal AI Edge Gen 2 VE3558 SoC FPGA, which features octa-core Arm Cortex-A78AE + ten Cortex-R52 real-time cores beyond FPGA fabric. It’s the first AMD Ryzen AI Embedded motherboard we’ve seen. It represents a massive update from last year’s Edge+ VPR-5050 motherboard, which relied on Zen 2-based Ryzen Embedded V2000 series and first-generation Versal silicon. The new VPR-7P132 skips multiple generations, jumping straight to Zen 5 CPU cores and RDNA 3.5 graphics, with an upgraded Versal Gen 2 adaptive Edge AI SoC for real-time inference, along with faster LPDDR5 (4266MHz) memory and 40 Gbps USB4 connectivity. SapphireTech EDGE+ VPR-7P132-MB specifications: AMD Embedded+ Architecture Adaptive SoC Subsystem Adaptive SoC – AMD Versal AI Edge Gen 2 […]
AMD launches Ryzen AI Embedded P100 and X100 processors with up to 50 TOPS of AI performance
AMD has introduced the Ryzen AI Embedded P100 and X100 x86 processors designed to power AI-driven applications at the edge, such as automotive digital cockpits, smart healthcare equipment, and humanoid robotics. AMD had previously launched several Ryzen Embedded families, starting with the Ryzen Embedded V1000 in 2018, and more recently, the Ryzen Embedded 8000 family with a 16 TOPS NPU, yet without “AI” in the name. The new AMD Ryzen AI Embedded family is based on high-performance “Zen 5” core architecture, an RDNA 3.5 GPU for real-time visualization and graphics, and an XDNA 2 NPU for low-latency, low-power AI acceleration. The P100 Series processors target in-vehicle infotainment and industrial automation, while the X100 Series processors feature higher CPU core counts and AI TOPS performance for more demanding physical AI and autonomous systems. Six models are currently available in the Ryzen AI Embedded P100 family: AMD Ryzen AI P121, P123, P121i, […]
NVIDIA Jetson T4000 Edge AI embedded system offers 5GbE networking, four PoE camera ports, DIO, CAN Bus, and more
AAEON BOXER-8742AI is a fanless Edge AI embedded system powered by an NVIDIA Jetson T4000 that was unveiled along with the Jetson Thor T5000 module last August, but officially launched at CES 2026. The Jetson T4000 is a weaker variant, but it’s still extremely powerful with up to 1200 TFLOPS of AI computing power against 2070 TFLOPS for the T5000. The BOXER-8742AI features a 5GbE port, four Gigabit Ethernet RJ45 PoE ports suitable for IP cameras, DIO, RS232, RS485, and CAN Bus interfaces, four USB 3.2 Gen 2 ports, HDMI video output, and more. It’s suitable for high-performance edge AI applications such as smart factory automation, AMR, and AI-assisted roadside unit solutions. AAEON BOXER-8742AI specifications: System-on-Module – NVIDIA Jetson T4000 CPU – 12-core 64-bit Arm Neoverse-V3AE GPU – 1536-core NVIDIA Blackwell GPU with 64 Tensor Cores, 6-TPC MIG VPU Video Decode – 4x 8Kp30 (H.265), 10x 4Kp60 (H.265), 22x 4Kp30 […]
Elecrow AI starter kit turns NVIDIA Jetson Orin Nano into a learning platform with 11.6-inch display, 30 electronics modules
Elecrow AI Starter Kit for the NVIDIA Jetson Orin Nano turns the NVIDIA Jetson Orin Nano into a learning and educational kit for students, educators, and hardware enthusiasts looking for a rapid and powerful prototyping platform. The kit integrates an 11.6-inch IPS touchscreen, an 8MP servo-controlled gimbal camera, a voice interaction module, and 30 common electronics modules embedded in the kit. The company also provides 39 Python tutorials for sensor control, computer vision, and basic AI workflows. In addition to the display, camera, and audio features, the kit also includes expansion through I2C, UART, and GPIO. Jetson Orin Nano AI Starter Kit specifications: Main Board – NVIDIA Jetson Orin Nano (Not included in the kit) Display – 11.6-inch IPS touchscreen display with 1366 × 768 resolution Onboard modules Input modules Multimedia – 8MP IMX219-based camera with dual-servo gimbal (PTZ-style control) Sensors Temperature & humidity sensor Ultrasonic distance sensor PIR motion […]
Bit-Brick Cluster K1 – A 4-slot RISC-V cluster board for SpacemiT K1-based SSOM-K1 system-on-module
Bit-Brick Cluster K1 is a cluster board designed to mount up to four SSOM-K1 system-on-modules powered by a SpacemiT K1 octa-core RISC-V processor. The board targets developers, researchers, and system integrators working on edge computing, AI workloads, and high-performance embedded applications. The Cluster K1 relies on an onboard Gigabit Ethernet switch chip to interconnect four core boards, giving each board an independent network port for fast and stable inter-node communication with automatic IP assignment. Other key features include USB 3.0/2.0 ports, HDMI output (master slot only), a USB Type-C debug port, an M.2 M-Key slot for storage expansion, a 3-pin fan power header, and dedicated power, reset, and download buttons. The SSOM-K1 system-on-module features a K1 octa-core 64-bit RISC-V CPU with vector extension and AI acceleration up to 2 TOPS. It ships with up to 8GB dual-channel LPDDR4X memory, up to 64GB eMMC flash, and offers dual Gigabit Ethernet, HDMI 1.4 […]

