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Summaries are not the original full articles. ## LattePanda Mu Ultra Compute Module features Intel Core Ultra 5 226V/7 256V Lunar Lake CPU for AI workloads DevFeed: [LattePanda Mu Ultra Compute Module features Intel Core Ultra 5 226V/7 256V Lunar Lake CPU for AI workloads]() Original publisher: [Read original article]() Author: Jean-Luc Aufranc (CNXSoft) Published: 2026-09-10T02:25:10Z Content type: news Language: en Sources: [CNX Software - Embedded Systems News]() Topics: [Embedded Systems](), [Hardware](), [intel](), [cpu](), [GPU](), [ddr5](), [x86](), [SOC]() Tags: [2-5gbe](), [3dmark](), [artificial-intelligence-ai](), [benchmarks](), [cpu](), [ddr5](), [development-board](), [devkit](), [dfrobot](), [edge-ai](), [embedded-systems](), [geekbench](), [gpu](), [hardware](), [intel](), [intel-core](), [linux](), [lunar-lake](), [som](), [ubuntu](), [wifi-6](), [wifi-7](), [windows-11]() ### AI overview CNX Software reports on the LattePanda Mu Ultra, an x86 compute module using Intel Core Ultra 5 226V or Ultra 7 256V Lunar Lake processors with 16GB of memory. It targets robotics, industrial automation, portable instruments, and vision and edge AI applications, with up to 115 TOPS of stated AI performance. ### Source excerpt The LattePanda Mu Ultra is an x86 Compute Module powered by an Intel Core Ultra 5 226V or Ultra 7 256V Lunar Lake processor and equipped with 16GB of DDR5 memory. Offered in the same compact 69.6 x 60mm form factor as the earlier LattePanda Mu Alder Lake-N system-on-module (N100 or Core i3-N305), it delivers much higher performance, including up 115 TOPS of AI performance. Target applications include robotics, industrial automation, portable instruments, vision AI, and a range of Edge AI applications. LattePanda Mu Ultra Specifications: Lunar Lake SoC (one or the other) Intel Core Ultra 5 Processor 226V CPU - Octa-core processor up to 4.5 GHz GPU - 7x Xe-core Intel Arc 130V GPU up to 1.85 GHz AI - 40 TOPS Intel AI Boost; combined up to 97 TOPS Intel Core Ultra 7 Processor 256V CPU - Octa-core processor up to 4.8 GHz GPU - 8x Xe-core Intel Arc [...] The post LattePanda Mu Ultra Compute Module features Intel Core Ultra 5 226V/7 256V Lunar Lake CPU for AI workloads appeared first on CNX Software - Embedded Systems News. ## FREE-WILi 2 portable hacking multitool features two RP2350 MCUs, ESP32-C5, ICE40 FPGA, and Raspberry Pi CM0 DevFeed: [FREE-WILi 2 portable hacking multitool features two RP2350 MCUs, ESP32-C5, ICE40 FPGA, and Raspberry Pi CM0]() Original publisher: [Read original article]() Author: Debashis Das Published: 2026-09-09T00:00:02Z Content type: news Language: en Sources: [CNX Software - Embedded Systems News]() Topics: [Embedded Systems](), [Raspberry Pi](), [ESP32-C5](), [Hardware](), [Hacking](), [Linux]() Tags: [802-15-4](), [ble](), [bluetooth](), [broadcom-bcmxxxx](), [c-c-plus-plus](), [can](), [electronics](), [embedded](), [esp32](), [esp32-c5](), [espressif](), [fpga](), [hack](), [hacking](), [hardware](), [lattice](), [linux](), [lora](), [meshtastic](), [nfc](), [open-hardware](), [python](), [raspberry-pi](), [raspberry-pi-rp2350](), [rfid](), [rust](), [security](), [som](), [stm32](), [stmicro-stm32](), [texas-instruments-simplelink](), [thread](), [tools](), [video](), [wi-fi](), [wifi-6](), [wireless](), [zigbee]() ### AI overview The FREE-WILi 2 Founder Edition is an open-hardware, portable multitool for hardware hackers, pentesters, and embedded-system developers. It combines two Raspberry Pi RP2350 MCUs, an ESP32-C5, a Lattice ICE40UP5K FPGA, and a Raspberry Pi CM0 capable of running a full Linux OS, along with touchscreen controls, expansion headers, and multiple wireless interfaces. ### Source excerpt The FREE-WILi 2 (Founder Edition) is an open-hardware, portable hacking multitool and lab designed for hardware hackers, pentesters, and embedded system developers. Designed as an "open electronics multitool," it combines a range of chips and modules into a handheld device, including two Raspberry Pi RP2350 MCUs, an ESP32-C5 for wireless connectivity, a Lattice ICE40UP5K FPGA, and a Raspberry Pi CM0 for running a full Linux OS. The device also features a 3.5-inch capacitive touchscreen, a 14-button physical interface, and modular "Orca" headers for hardware expansion. Its wireless features include 2.4/5GHz Wi-Fi, Bluetooth, LoRa, sub-GHz RF, NFC, 125kHz RFID, and IR. These features make it very suitable for wireless testing, embedded hardware debugging, real-time control, electronics development, and retro gaming, with support for Adafruit Fruit Jam, PICO-8, and Doom. FREE-WILi 2 specifications: Compute Main MCUs - 2x Raspberry Pi RP2350B (One for main controls, one dedicated to display) SoM - Raspberry [...] The post FREE-WILi 2 portable hacking multitool features two RP2350 MCUs, ESP32-C5, ICE40 FPGA, and Raspberry Pi CM0 appeared first on CNX Software - Embedded Systems News. ## Amlogic A311Y3 Cortex-A78/A55 Edge AI system-on-module delivers up to 8 TOPS DevFeed: [Amlogic A311Y3 Cortex-A78/A55 Edge AI system-on-module delivers up to 8 TOPS]() Original publisher: [Read original article]() Author: Jean-Luc Aufranc (CNXSoft) Published: 2026-09-03T13:46:18Z Content type: article Language: en Sources: [CNX Software - Embedded Systems News]() Topics: [Embedded Systems](), [Artificial Intelligence](), [cpu](), [SOC](), [GPU](), [RISC-V](), [SDK](), [Android](), [Linux]() Tags: [2025](), [4g-lte](), [amlogic](), [android](), [arm](), [boardcon](), [camera](), [compiler](), [cortex-a55](), [cortex-a78](), [cpu](), [development-board](), [development-tools](), [display](), [edge-ai](), [edge-computing](), [embedded](), [embedded-systems](), [hardware](), [linux](), [npu](), [opencl](), [risc-v](), [rs485](), [som](), [specifications](), [vulkan]() ### AI overview The article examines Boardcon's CM311Y3 system-on-module, which uses the Amlogic A311Y3 octa-core SoC with Cortex-A78 and Cortex-A55 CPUs, an 8 TOPS NPU, LPDDR5 memory, eMMC storage, and interfaces for embedded applications. It also describes the module's development board, software support, and key specifications. ### Source excerpt Boardcon CM311Y3 system-on-module (SoM) is powered by an Amlogic A311Y3 octa-core Cortex-A78/A55 SoC with an 8 TOPS NPU and targets 4K video surveillance systems, AI edge computing devices, interactive terminals, enterprise thin clients, and autonomous robots. The module comes with up to 16GB LPDDR5 and up to 256 GB eMMC flash, exposes 210 pins through castellated edges, and a development board is also provided for evaluation and early software development. We don't often see new SoMs or SBCs based on Amlogic SoCs these days, so let's have a closer look. Boardcon CM311Y3 System-on-Module CM311Y3 specifications: SoC - Amlogic A311Y3 CPU 2x ARM Cortex-A78 cores @ 2.4GHx 6x ARM Cortex-A55 cores @ 2.0GHz RISC-V core for system control processing RISC-V core for Always-on power management and Sensor Hub GPU - Arm Mali-G625 MC1 with support for OpenGL ES 3.2, Vulkan 1.4, and OpenCL 3.0 VPU Video Decoder - H.264 up to [...] The post Amlogic A311Y3 Cortex-A78/A55 Edge AI system-on-module delivers up to 8 TOPS appeared first on CNX Software - Embedded Systems News. ## ARK Just A Pi - A tiny NDAA-compliant Raspberry Pi CM5 carrier board for drones and robots DevFeed: [ARK Just A Pi - A tiny NDAA-compliant Raspberry Pi CM5 carrier board for drones and robots]() Original publisher: [Read original article]() Author: Jean-Luc Aufranc (CNXSoft) Published: 2026-08-31T10:49:27Z Content type: news Language: en Sources: [CNX Software - Embedded Systems News]() Topics: [Raspberry Pi](), [Embedded Systems](), [Hardware](), [Ethernet]() Tags: [broadcom-bcmxxxx](), [camera](), [cm5](), [debian](), [drone](), [embedded](), [ethernet](), [hardware](), [hdmi](), [jetson-orin](), [linux](), [raspberry-pi](), [robotics](), [robots](), [sensors](), [som](), [usb]() ### AI overview The article reports on ARK Electronics' Just A Pi, a small NDAA-compliant carrier board for the Raspberry Pi Compute Module 5. It describes its connectors, interfaces, dimensions, weight, supported modules, installation requirements, and pricing. ### Source excerpt ARK Just A Pi is a tiny NDAA-compliant carrier board for the Raspberry Pi CM5 designed for drones, robots, or other space-constrained embedded applications that's about the size of the Compute Module itself. This follows ARK Electronics' NDAA-compliant ARK Jetson Orin NX/Nano bundles introduced in 2024. The new "Just A Pi" is much smaller and lighter, features a built-in 100 Mbps Ethernet switch with two JST-GH Ethernet ports, a micro HDMI port, two MIPI CSI camera connectors, a microSD card slot, a PCIe FFC connector, a USB 3.0 Type-C dual role connector, and a range of small connectors for UART, SPI, PWM, GPIO, and fan. It also features a power connector for the company's PAB power modules. ARK Just A Pi specifications: Supported SoM Raspberry Pi Compute Module 5 - Full support Raspberry Pi Compute Module 4 - The following interfaces are not supported: CSI1/CAM1, UART2, USB-C, PCIe, and fan [...] The post ARK Just A Pi - A tiny NDAA-compliant Raspberry Pi CM5 carrier board for drones and robots appeared first on CNX Software - Embedded Systems News. ## D-Robotics RDK S100P - A 128 TOPS alternative to NVIDIA Jetson Orin NX 16GB with Cortex-A78AE/R52+ cores DevFeed: [D-Robotics RDK S100P - A 128 TOPS alternative to NVIDIA Jetson Orin NX 16GB with Cortex-A78AE/R52+ cores]() Original publisher: [Read original article]() Author: Debashis Das Published: 2026-08-31T08:06:13Z Content type: news Language: en Sources: [CNX Software - Embedded Systems News]() Topics: [Jetson](), [Robotics](), [Embedded Systems](), [Microcontroller](), [Jetson Orin](), [SOC](), [cpu](), [Arm](), [real-time](), [GPU](), [Linux](), [Nvidia]() Tags: [arm](), [artificial-intelligence-ai](), [camera](), [computer-vision](), [cortex-a78](), [cpu](), [deep-learning](), [development-kit](), [dfrobot](), [edge-ai](), [embedded](), [embedded-systems](), [gpu](), [hardware](), [jetson](), [jetson-orin](), [linux](), [mcu](), [networking](), [nvidia](), [os](), [processors](), [real-time](), [robotics](), [ros](), [safety](), [sensor](), [sensors](), [single-board-computer](), [soc](), [software](), [som](), [specifications](), [systems](), [ubuntu]() ### AI overview The D-Robotics RDK S100P is a robotics single-board computer featuring a 6-core Cortex-A78AE CPU, 4-core Cortex-R52+ MCU domain, 128 TOPS INT8 Nash BPU, Mali-G78AE GPU, and 24 GB of LPDDR5. Its MCU supports real-time motor and sensor control, potentially reducing the need for a separate real-time controller depending on the robot's requirements. ### Source excerpt D-Robotics RDK S100P development kit is a robotics SBC built around an S100P-based module providing an alternative to NVIDIA Jetson Orin NX 16GB with a 6-core Cortex-A78AE application cluster, a 4-core Cortex-R52+ MCU domain, a Nash BPU rated at 128 TOPS INT8, a Mali-G78AE GPU, and 24 GB of LPDDR5. The four R52+ cores can be configured for reliable real-time control: two cores run in lockstep for safety, and the other two support split-lock operation. In practice, the A78AE CPU and BPU can handle Linux and vision processing, while the MCU handles time-critical tasks such as motor and sensor I/O. This can reduce the need for a separate real-time controller, although whether it eliminates one depends on the robot and its requirements. RDK S100P specifications: SoC - D-Robotics S100P CPU - 6x Arm Cortex-A78AE @ 2.0 GHz (safety-capable AE cores) MCU - 4x Arm Cortex-R52+ @ 1.2 GHz (1x DCLS [...] The post D-Robotics RDK S100P - A 128 TOPS alternative to NVIDIA Jetson Orin NX 16GB with Cortex-A78AE/R52+ cores appeared first on CNX Software - Embedded Systems News.