Posted on by Jean-Luc Aufranc (CNXSoft) - No Comments on MediaTek Genio 720 and 520 AIoT SoCs target generative AI applications with 10 TOPS AI accelerator

MediaTek Genio 720 and 520 AIoT SoCs target generative AI applications with 10 TOPS AI accelerator

MediaTek Genio 720 520

The announcement of the MediaTek Genio 720 and Genio 520 octa-core Cortex-A78/A55 AIoT SoCs is one of the news I missed at Embedded World 2025.  The new models appear to be updates to the Genio 700 and Genio 500 with a beefier NPU, and the Taiwanese company says the new Genio series supports generative AI models, human-machine interface (HMI), multimedia, and connectivity features for smart home, retail, industrial, and commercial IoT devices. Both are equipped with a 10 TOPS NPU/AI accelerator for transformer and convolutional neural network (CNN) models and support up to 16GB of LPDDR5 memory to handle “edge-optimized” (i.e. quantized) large language models (LLMs) such as Llama, Gemini, Phi, and DeepSeek, and other generative AI tasks. MediaTek Genio 720 and Genio 520 specifications: Octa-core CPU Genio 520 2x Arm Cortex-A78 up to 2.2 GHz (Commercial) or 2.0 GHz (Industrial) 6x Arm Cortex-A55 up to 2.0 GHz (Commercial) or […]

Posted on by Debashis Das - No Comments on Panasonic PAN B511-1C Bluetooth 6.0 and 802.15.4 module features castellated holes and LGA footprint

Panasonic PAN B511-1C Bluetooth 6.0 and 802.15.4 module features castellated holes and LGA footprint

Panasonic PAN B511 1C Bluetooth 6.0 and 802.15.4 module

Panasonic industry has recently introduced the PAN B511-1C Bluetooth 6.0 and 802.15.4 module based on the Nordic Semi nRF54L15 SoC and designed for ultra-low-power wireless communication. The compact module integrates a chip antenna, 32MBit flash memory, two Crystals, and the Nordic nRF54L51 which provides a 128 MHz Arm Cortex-M33 microcontroller with Bluetooth 6.0 (LE), Thread, Zigbee, and Matter, along with multiple peripherals such as SPI, UART, I2S, PWM, and ADC. The PAN B511-1C also implements security features to support secure boot, secure firmware updates, cryptographic acceleration, and tamper detection, making it suitable for a range of IoT, industrial automation, smart home, medical (wearables), and battery-powered applications. PAN B511-1C module specification: SoC – Nordic Semiconductor nRF54L15 MCU cores Arm Cortex-M33 with Arm TrustZone @ 128MHz RISC-V coprocessor for software-defined peripheral Memory – 256KB SRAM Storage – 1.5MB non-volatile memory Wireless Bluetooth 6.0 Data rates – 2Mbps, 1Mbps, 500kbps, 125kbps Features AoA / […]

ArmSoM RK3588 AIModule7 NVIDIA Jetson Nano-compatible SOM
Posted on by Jean-Luc Aufranc (CNXSoft) - 1 Comment on Makerdiary nRF9151 Connect Kit board offers LTE-M, NB-IoT, DECT NR+, and GPS connectivity, on-board battery charger

Makerdiary nRF9151 Connect Kit board offers LTE-M, NB-IoT, DECT NR+, and GPS connectivity, on-board battery charger

Makerdiary nRF9151 Connect Kit

Makerdiary nRF9151 Connect Kit is a Nordic Semi nRF9151-based board with LTE-M, NB-IoT, GNSS, and DECT NR+ connectivity, an on-board battery charger, and a built-in nRF52820 “interface” MCU for debugging and programming. The board features a USB-C port for power and programming, two 20-pin headers for expansion with through and castellated holes, a nano SIM card slot and a footprint for an eSIM, user and reset buttons, and a few user LEDs. Makerdiary nRF9151 Connect Kit specifications: SiP – Nordic Semi nRF9151 CPU – Arm Cortex-M33 @ 64 MHz Memory – 256 KB SRAM Storage – 1 MB flash Wireless – LTE-M and NB-IoT modem with GNSS 700-2200 MHz LTE bands: B1-B5, B8, B12, B13, B17-B20, B25, B26, B28, B65, B66, B85 Power Class 5 20 dBm Power Class 3 23 dBm 1.9GHz NR+ band support Certified for global operation Security – Arm TrustZone + Arm CryptoCell Interface MCU – […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 3 Comments on You can now buy Raspberry Pi RP2350 MCU for 80 cents and up, RP2354A and RP2354B variants coming soon

You can now buy Raspberry Pi RP2350 MCU for 80 cents and up, RP2354A and RP2354B variants coming soon

Buy RP2350

The Raspberry Pi RP2350 dual-core Cortex-M33/RISC-V MCU was first unveiled along with the Raspberry Pi Pico 2 in August 2024. Since then we have covered many Raspberry Pi RP2350 news and boards, but the microcontroller was hard to source for hobbyist and low-volume projects, which partially explains why companies like NextPCB had promotions offering free PCBA prototyping services for RP2350 designs. The good news is that Raspberry Pi has just announced general availability for the RP2350 microcontrollers starting at $0.80 per unit for the RP2350A in 3,400-piece reels, or $1.1 in single quantity, so anybody can buy the MCUs from their favorite distributor. The British company also announced the RP2354A and RP2354B variants with 2MB of stacked flash memory would soon be available to select partners and mass production will ramp up later this year. Here’s the current official pricing information for the RP2040 and RP2350 microcontrollers. Users can simply […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 16 Comments on GL.iNet Comet (GL-RM1) low-cost KVM-over-IP solution supports up to 2K resolution

GL.iNet Comet (GL-RM1) low-cost KVM-over-IP solution supports up to 2K resolution

GL.iNet Comet GL-RM1

GL.iNet has entered the low-cost KVM-over-IP market with the Comet (GL-RM1) remote KVM to remotely control any computer over an Ethernet connection with an HDMI port for video and audio input and a USB-C port for keyboard and mouse emulation. It’s an alternative to the Sipeed NanoKVM (Cube) with a more powerful quad-core processor, 1GB RAM, an 8GB eMMc flash, a gigabit Ethernet port, and support for up to 2K (2160×1440) resolution at 60 FPS. Comet GL-RM1 specifications: SoC – Quad-core CPU @ 1.5 GHz System Memory – 1GB DDR3 Storage – 8GB eMMC flash Video & Audio Input – HDMI port up to 2K @ 60 FPS (2160 x 1440 @ 60 FPS); H.264 encodding with 30 to 60ms latency Networking – Gigabit Ethernet RJ45 port USB USB 2.0 Type-A port to connect peripherals like a Fingerbot or ATX power control board USB 2.0 Type-C port for mouse/keyboard emulation […]

Posted on by Debashis Das - 4 Comments on Seeed reComputer J3010B Edge AI PC features NVIDIA Jetson Orin Nano with up to 67 TOPS of AI performance

Seeed reComputer J3010B Edge AI PC features NVIDIA Jetson Orin Nano with up to 67 TOPS of AI performance

reComputer J3010B Jetson Orin Nano Edge AI Computer

Seeed Studio’s reComputer J3010B Edge AI PC is built around the NVIDIA Jetson Orin Nano module, which offers up to 67 TOPS AI performance (67 TOPS in super mode), with up to 8GB LPDDR5 memory, and a pre-installed 128GB NVMe SSD for storage. The mini PC features two USB 3.2 ports, HDMI 2.1 video output, a Gigabit Ethernet jack, M.2 slots for SSD and Wi-Fi, a mini PCIe socket for LTE, a 40-pin GPIO header, and a 12-pin UART header. With a compact aluminum case and active cooling, it has an operating temperature range of -10 to 60°C and can be powered via a DC 9-19V input. These features make this device useful for AI, IoT, and edge computing applications, such as smart lampposts for traffic monitoring, EV battery swapping and charging systems, smart recycling centers for waste management, and more. reComputer J3010B specifications: SoM options NVIDIA Jetson Orin Nano […]

Rockchip RK3568, RK3588 and Intel x86 SBCs and SoMs in 2025
Posted on by Jean-Luc Aufranc (CNXSoft) - 1 Comment on MicroPython-programmable OpenMV N6 and AE3 AI camera boards run on battery for years (Crowdfunding)

MicroPython-programmable OpenMV N6 and AE3 AI camera boards run on battery for years (Crowdfunding)

OpenMV AE3 and N6 AI cameras

OpenMV has launched two new edge AI camera boards programmable with MicroPython: the OpenMV AE3 powered by an Alif Ensemble E3 dual Cortex-M55, dual Ethos-U55 micro NPU SoC, and the larger OpenMV N6 board based on an STMicro STM32N6 Cortex-M55 microcontroller with a 1 GHz Neural-ART AI/ML accelerator. Both can run machine vision workloads for several years on a single battery charge. The OpenMV team has made several MCU-based camera boards and corresponding OpenMV firmware for computer vision, and we first noticed the company when they launched the STM32F427-based OpenMV Cam back in 2015. A lot of progress has been made over the years in terms of hardware, firmware, and software, but the inclusion of AI accelerators inside microcontrollers provides a leap in performance, and the new OpenMV N6 and AE3 are more than 100x faster than previous OpenMV Cams for AI workloads. For example, users can now run object […]

Posted on by Debashis Das - No Comments on IMDT V2N Renesas RZ/V2N SoM powers Edge AI SBC with HDMI, MIPI DSI, dual GbE, WiFi 4, and more

IMDT V2N Renesas RZ/V2N SoM powers Edge AI SBC with HDMI, MIPI DSI, dual GbE, WiFi 4, and more

IMDT V2N low power AI SBC

IMD Technologies has recently introduced the IMDT V2N SoM based on the newly launched Renesas RZ/V2N low-power AI MPU and its SBC carrier board designed for robotics, smart cities, industrial automation, and IoT applications. The SoM ships with 8GB RAM and 32GB eMMC flash, and supports various interfaces through B2B connectors including two 4-lane MIPI CSI-2 interfaces, a MIPI DSI display interface, and more. The SBC supports MIPI DSI or HDMI video output, dual GbE, WiFi 4 and Bluetooth 5.2,  as well as expansion capabilities through M.2 sockets. IMDT V2N SBC specifications: IMDT V2N SoM SoC – Renesas RZ/V2N Application Processor – Quad-core Arm Cortex-A55 @ 1.8 GHz (0.9V) / 1.1 GHz (0.8V) L1 cache – 32KB I-cache (with parity) + 32KB D-cache (with ECC) per core L3 cache – 1MB (with ECC, max frequency 1.26 GHz) Neon, FPU, MMU, and cryptographic extension (for security models) Armv8-A architecture System Manager […]

Boardcon CM3588 Rockchip RK3588 System-on-Module designed for AI and IoT applications