# Ethernet Published articles for Ethernet. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## Minisforum N5R NAS Revealed - An ARM DIY 5-Bay NAS DevFeed: [Minisforum N5R NAS Revealed - An ARM DIY 5-Bay NAS]() Original publisher: [Read original article]() Author: Rob Andrews Published: 2026-09-16T16:00:07Z Content type: news Language: en Sources: [NAS Compares]() Topics: [DIY NAS](), [Hardware](), [systems](), [Arm](), [cpu](), [NVMe]() Tags: [10gbe-nas](), [10gbe-networking](), [2-5gbe](), [2-5gbe-nas](), [24-7-nas](), [5-bay-nas](), [ai-agent-nas](), [ai-nas](), [arm](), [arm-nas](), [arm-nas-2026](), [bluetooth](), [bluetooth-5-3](), [bluetooth-5-3-nas](), [business-nas](), [cix-arm-cpu](), [cix-cp8180](), [diy-nas](), [ecc](), [ecc-memory-nas](), [ecc-nas](), [ethernet](), [home-nas](), [home-server](), [ifa-2026](), [ifa-2026-nas](), [local-ai-nas](), [low-power-nas](), [lpcamm2-nas](), [m-2-nvme-nas](), [miniscloud-os](), [minisforum-ifa-2026](), [minisforum-miniscloud-os](), [minisforum-n5-air](), [minisforum-n5-max](), [nas](), [nas-hardware](), [network-attached-storage-nas](), [pcie](), [pre-release](), [uncategorised](), [usb]() ### AI overview Minisforum revealed the N5R, a pre-release five-bay DIY NAS announced at IFA 2026. It uses the Arm-based CIX CP8180 platform and includes ECC-capable LPCAMM2 memory, five SATA drive bays, an M.2 NVMe slot, 10GbE and 2.5GbE networking, Wi-Fi 6E, Bluetooth 5.3, and PCIe expansion. Final memory capacity, software capabilities, and pricing remain unconfirmed. ### Source excerpt New ARM v9.2 Powered DIY NAS Revealed - The Minisforum N5R Minisforum has used IFA 2026 to reveal another addition to its growing NAS range, this time in the form of the N5R. At first glance, it follows the same general 5-bay desktop design language as the company's other recent N5 systems, including the removable [...] ## CVITEK CV1842H-P-based edge AI camera module offers night vision and AI-ISP support (Crowdfunding) DevFeed: [CVITEK CV1842H-P-based edge AI camera module offers night vision and AI-ISP support (Crowdfunding)]() Original publisher: [Read original article]() Author: Debashis Das Published: 2026-09-16T00:00:55Z Content type: news Language: en Sources: [CNX Software - Embedded Systems News]() Topics: [Artificial Intelligence](), [Embedded Systems](), [AI Inference](), [V](), [Arm](), [cpu](), [Open Source](), [Ethernet](), [Linux](), [Toit]() Tags: [ai](), [arm](), [artificial-intelligence-ai](), [camera](), [computer-vision](), [cpu](), [debug](), [edge-ai](), [embedded](), [ethernet](), [hardware](), [inference](), [kickstarter](), [linux](), [module](), [open-source](), [real-time](), [risc-v](), [robotics](), [rt-thread](), [soc](), [sophgo](), [tinyml](), [usb](), [video](), [vision]() ### AI overview The AIMORELOGY Ovis is an open-source modular AI vision camera built around the CVITEK CV1842H-P SoC. It provides full-color 1080p night vision, 1.5 TOPS edge AI inference, USB and Ethernet connectivity, and a dual-OS environment using Linux and RT-Thread. ### Source excerpt The AIMORELOGY Ovis is an open-source AI vision camera module built around the CVITEK CV1842H-P SoC, with full-color 1080p night vision and 1.5 TOPS edge AI inference in a compact modular design. It is designed for drones, robotics, security systems, smart cameras, and custom embedded vision products. The camera features a compact stacked design, with a 20 x 20 mm Core board that includes the CVITEK CV1842H-P SoC, 2 Gbit NAND flash, USB, and UART debug pads. A Sensor board with the SC235HAI image sensor connects on top and also adds Ethernet and UART interfaces. An optional CVBS board goes between the Sensor board and the Ovis Core board. AIMORELOGY Ovis specifications: Ovis Core Board SoC - CVITEK CV1842H-P CPU - 1x Arm Cortex-A53 core @ 1.1 GHz, 1x RISC-V C906 core @ 800 MHz NPU - 1.5 TOPS @ INT8 with BF16 support ISP - AI-ISP with real-time 1080p [...] The post CVITEK CV1842H-P-based edge AI camera module offers night vision and AI-ISP support (Crowdfunding) appeared first on CNX Software - Embedded Systems News. ## FS Pairs 1.6T Scale-Out Optics With 500 km Coherent Modules and a Handheld Toolkit for AI Fabrics DevFeed: [FS Pairs 1.6T Scale-Out Optics With 500 km Coherent Modules and a Handheld Toolkit for AI Fabrics]() Original publisher: [Read original article]() Author: Harold Fritts Published: 2026-09-14T17:34:25Z Content type: news Language: en Sources: [StorageReview.com]() Topics: [GPU](), [InfiniBand](), [Networks](), [Ethernet](), [datacenter](), [Nvidia](), [data]() Tags: [announcement](), [data-center](), [enterprise](), [ethernet](), [gpu](), [infiniband](), [networking](), [networks](), [nvidia]() ### AI overview FS presents a two-part optics portfolio for AI networking: 400G, 800G, and 1.6T Scale-Out transceivers for links within GPU clusters, plus 400G and 800G Scale-Across coherent modules for connecting clusters across sites up to 500 km. The announcement also introduces the BOX 5 Ultra handheld toolkit for configuring, validating, and monitoring transceivers from 100M to 1.6T. ### Source excerpt FS has organized its AI optics into a two-part portfolio: Scale-Out transceivers at 400G, 800G, and 1.6T for the links inside a GPU cluster, and Scale-Across coherent modules at 400G and 800G for stitching clusters together across sites at distances up to 500 km. The Scale-Out side covers Ethernet, RoCE, and InfiniBand fabrics between GPU The post FS Pairs 1.6T Scale-Out Optics With 500 km Coherent Modules and a Handheld Toolkit for AI Fabrics appeared first on StorageReview.com. ## JetKVM Mini - A low-cost, ESP32-P4X-based KVM with Ethernet or WiFi connectivity DevFeed: [JetKVM Mini - A low-cost, ESP32-P4X-based KVM with Ethernet or WiFi connectivity]() Original publisher: [Read original article]() Author: Jean-Luc Aufranc (CNXSoft) Published: 2026-09-14T02:03:40Z Content type: news Language: en Sources: [CNX Software - Embedded Systems News]() Topics: [Jetkvm](), [ESP32](), [Embedded Software Dev](), [Microcontroller](), [RISC-V](), [Web](), [WebRTC](), [networking](), [USB]() Tags: [4k](), [embedded-systems](), [esp-idf](), [esp32](), [esp32-p4](), [espressif](), [ethernet](), [firmware](), [freertos](), [github](), [hardware](), [hdmi](), [jetkvm](), [kvm](), [linux](), [macos](), [open-source](), [risc-v](), [soc](), [usb](), [video](), [webrtc](), [wifi](), [wifi-6]() ### AI overview JetKVM Mini is a smaller, lower-cost KVM over IP device based on the ESP32-P4X instead of Linux running on a Rockchip SoC. It provides Ethernet or WiFi connectivity, 1080p video capture, H.264 streaming over WebRTC, USB device emulation, and an information display. Its firmware uses FreeRTOS and ESP-IDF, while JetKVM OS Services add features such as 4K screen capture, shared clipboard, a guest terminal, and file transfer on compatible hosts. ### Source excerpt JetKVM Mini is a smaller, lower-cost version of the popular JetKVM KVM over IP solution. The new model features a small information display, offers Ethernet or WiFi connectivity, and supports 1080p video capture. The main under-the-hood change is that they ditched Linux on a Rockchip RV1106G3 SoC and now rely on an ESP32-P4X (ESP32-P4 version 3.x and greater) to handle video capture, H.264 encoding, USB, and other features. The largest cost saving is removing the RAM and eMMC flash required by Linux. JetKVM Mini specifications: SoC - Espressif Systems ESP32-P4X CPU Dual-core 32-bit RISC-V HP (High-performance) CPU @ up to 400 MHz with AI instruction extension and single-precision FPU Single-RISC-V LP (Low-power) MCU core @ up to 40 MHz Memory 768 KB HP L2MEM (for dual-core CPU), 32 KB LP SRAM, 8 KB TCM (for LP MCU core) 32 MB PSRAM Storage - 128 KB HP ROM, 16 KB LP ROM [...] The post JetKVM Mini - A low-cost, ESP32-P4X-based KVM with Ethernet or WiFi connectivity appeared first on CNX Software - Embedded Systems News. ## d-Matrix Joins the NVIDIA NVLink Fusion Platform DevFeed: [d-Matrix Joins the NVIDIA NVLink Fusion Platform]() Original publisher: [Read original article]() Author: Cliff Robinson Published: 2026-09-12T21:42:59Z Content type: news Language: en Sources: [ServeTheHome]() Topics: [d-matrix](), [NVLink](), [Nvidia](), [xpu](), [AI Inference](), [datacenter](), [networking](), [cpu](), [Spectrum-X]() Tags: [accelerators](), [ai](), [ai-accelerator](), [ai-inference](), [d-matrix](), [data-center](), [ethernet](), [networking](), [nvidia](), [nvidia-vera](), [nvlink](), [server](), [xpu]() ### AI overview d-Matrix and NVIDIA announced that d-Matrix will bring its next-generation XPUs to the NVLink Fusion platform. The integration is intended to support scaling from individual Raptor XPUs to larger rack-scale and clustered deployments for AI inference, alongside NVIDIA networking and CPU technologies. ### Source excerpt d-Matrix and NVIDIA announced that d-Matrix will use NVLink Fusion to scale up and out with its next-gen Raptor AI accelerators The post d-Matrix Joins the NVIDIA NVLink Fusion Platform appeared first on ServeTheHome. ## Caught Sleeping at Work(queue) -- Zephyr Podcast #050 DevFeed: [Caught Sleeping at Work(queue) -- Zephyr Podcast #050]() Original publisher: [Read original article]() Author: Benjamin Cabé Published: 2026-09-11T12:46:06Z Content type: news Language: en Sources: [Zephyr Project]() Topics: [WebAssembly](), [qemu](), [ESP32](), [ctf](), [Espressif](), [Arduino](), [RISC-V](), [cortex m4](), [Ethernet](), [Modbus](), [USB](), [Linux]() Tags: [blog](), [ctf](), [esp32](), [espressif](), [ethernet](), [linux](), [modbus](), [perfetto](), [podcast](), [qemu](), [risc-v](), [usb](), [webassembly](), [zephyr]() ### AI overview Episode 50 of the Zephyr podcast covers the Zephyr Developer Summit schedule, Analog Devices' acquisition of Alif Semiconductor, new sensor and board support, SMP coredump improvements, CTF trace conversion to Perfetto, WebAssembly Micro Runtime documentation, and other Zephyr developments. ### Source excerpt ADI buys Alif, WebAssembly in Zephyr, CTF traces reach Perfetto, and why you should never sleep in the system workqueue. ## Amlogic A123X and C305X2 Arm Cortex-A320 SoCs target industrial and low-power AIoT applications DevFeed: [Amlogic A123X and C305X2 Arm Cortex-A320 SoCs target industrial and low-power AIoT applications]() Original publisher: [Read original article]() Author: Jean-Luc Aufranc (CNXSoft) Published: 2026-09-11T03:13:41Z Content type: news Language: en Sources: [CNX Software - Embedded Systems News]() Topics: [Arm](), [cpu](), [Embedded Systems](), [Artificial Intelligence](), [Internet of things](), [Hardware](), [object-detection](), [Neural Network](), [Transformer]() Tags: [aiot](), [amlogic](), [arm](), [armv9](), [camera](), [computer-vision](), [cortex-a320](), [edge-ai](), [embedded](), [ethernet](), [h-264](), [hardware](), [iot](), [linux](), [llm](), [low-power](), [neural](), [npu](), [object-detection](), [processor](), [security](), [soc]() ### AI overview Amlogic has announced the A123X quad-core and C305X2 dual-core Arm Cortex-A320 SoCs for industrial and battery-powered edge AI and IoT devices. The preliminary specifications include video encoding and decoding, NPUs, image signal processing, camera interfaces, networking, USB, and low-power features. The article notes that full specifications, block diagrams, and software details are not yet available. ### Source excerpt Amlogic has unveiled the A123X quad-core and C305X2 dual-core Arm Cortex-A320 SoCs for industrial and battery-powered Edge AI and IoT applications such as robots, dashcams, IP cameras, video conferencing equipment, and so on. The Arm Cortex-A320 low-power Armv9 CPU core was introduced in February 2025, and Amlogic is the first silicon vendor to announce Cortex-A320 SoCs. Details are sparse, with no full specifications or block diagrams and limited software information, but let's see what we know so far. Amlogic A123X Amlogic A123X specifications: CPU - Quad-core Arm Cortex-A320 processor (Armv9.2-A, SVE2) GPU - None or not disclosed VPU H.264/H.265 encoding at 4K @ 60fps H.264/H.265 decoding at 4K @ 30fps AI 4 TOPS ADLA2 NPU for object detection and tracking CNN models 8 TOPS ADLA3 NPU supporting hardware-accelerated Transformer operations for ViT, LLM, etc. Neural network-based hardware SED engine for low-power audio event identification ISP - Low-light HDR ISP Supports [...] The post Amlogic A123X and C305X2 Arm Cortex-A320 SoCs target industrial and low-power AIoT applications appeared first on CNX Software - Embedded Systems News. ## Can you design a chip? Announcing the protocol emulator ASIC competition DevFeed: [Can you design a chip? Announcing the protocol emulator ASIC competition]() Original publisher: [Read original article]() Author: Benjamin Devlin Published: 2026-09-10T00:00:00Z Content type: release Language: en Sources: [Jane Street]() Topics: [Chip design](), [Protocol (disambiguation)](), [Hardware](), [Open Source](), [Emulator](), [cpu](), [Reverse Engineering](), [fpga](), [Formal methods](), [Verilog]() Tags: [chip-design](), [cpu](), [emulator](), [ethernet](), [firmware](), [formal-methods](), [fpga](), [hardware](), [i2c](), [jtag](), [open-source](), [peripheral](), [protocol](), [reverse-engineering]() ### AI overview Jane Street announces a competition to design an open-source, general-purpose protocol emulator ASIC. The proposed chip would use a small programmable CPU to read and write pins, count cycles, and implement protocols in firmware, with fabrication planned through IHP and Tiny Tapeout. ### Source excerpt Last month, we asked you to reverse engineer a chip from nothing but its layout and teased a bigger challenge. Results and our favorite writeups are coming soon. In the meantime, here's our next challenge! This time, you're designing the chip, and we'll pay to fabricate our favorite designs! We're particularly interested in projects with unique functionality, as well as those that demonstrate novel approaches to design and verification methodologies! ## OpenNMC is an open replacement for expensive APC management cards DevFeed: [OpenNMC is an open replacement for expensive APC management cards]() Original publisher: [Read original article]() Author: jeff@jeffgeerling.com (Jeff Geerling) Published: 2026-09-08T16:00:00Z Content type: article Language: en Sources: [Jeff Geerling]() Topics: [Opennmc](), [Homelab](), [Hardware](), [Open Source](), [GitLab](), [Ethernet](), [USB](), [Crowd Supply](), [Reddit]() Tags: [apc](), [ethernet](), [firmware](), [gitlab](), [hardware](), [homelab](), [open-source](), [opennmc](), [sponsored](), [ups](), [usb]() ### AI overview The article tests OpenNMC, an open-source replacement for proprietary APC UPS management cards. It describes hot-pluggable installation, built-in NUT server support, Ethernet and wireless connectivity, and an initial USB-C serial setup. ### Source excerpt UPSes are typically the most boring part of your homelab, but they're important. One of their main jobs is to give servers time to shut down safely if the power goes out. Another job is to condition your power so your servers can run smoothly. To do both of those things well, you need a smart interface. And at least with APC, there are tons of older UPSes that use Network Management Cards. The one pictured below is the NMC 2, and I pulled out of my old APC Smart-UPS 2200 XL (pictured above). ## ACEMAGIC Kron Mini K5 Review - Part 2: A $400 Intel Core 3 304 Wildcat Lake mini PC tested with Windows 11 Pro DevFeed: [ACEMAGIC Kron Mini K5 Review - Part 2: A $400 Intel Core 3 304 Wildcat Lake mini PC tested with Windows 11 Pro]() Original publisher: [Read original article]() Author: Jean-Luc Aufranc (CNXSoft) Published: 2026-09-06T07:34:36Z Content type: comparison Language: en Sources: [CNX Software - Embedded Systems News]() Topics: [Intel Core](), [pc](), [Windows 11](), [intel](), [cpu]() Tags: [2-5gbe](), [3dmark](), [4k](), [8k](), [artificial-intelligence-ai](), [benchmarks](), [ethernet](), [geekbench](), [hardware](), [intel-core](), [mini-pc](), [mini-pcs](), [passmark](), [pcmark](), [review](), [reviews](), [test](), [testing](), [wifi-6](), [wildcat-lake](), [windows-11](), [youtube]() ### AI overview This review tests the ACEMAGIC Kron Mini K5, an Intel Core 3 304 Wildcat Lake mini PC running Windows 11 Pro. It covers system and AI benchmarks, 4K and 8K Firefox video playback, 2.5GbE and Wi-Fi 6 throughput, thermal performance, fan noise, and power consumption. ### Source excerpt After checking out the hardware of the ACEMAGIC Kron Mini K5 with an unboxing and a teardown in the first part of the review, we've now had time to test the Intel Core 3 304 Wildcat Lake mini PC in more depth with Windows 11 Pro. So in this article, we'll report our experience with the penta-core mini PC, testing features, running system and AI benchmarks, playing 4K and 8K YouTube videos on Firefox, measuring network throughput (2.5GbE and WiFi 6), evaluating thermal performance, and measuring fan noise and power consumption. Software overview and feature testing The System > About window confirms we have a 1.5 GHz (base frequency) Intel Core 3 304 computer paired with 12GB of RAM and 477GB of storage, running Windows 11 Pro 25H2 build 26200.9168. HWiNFO 64 provides additional details about the 15W Intel Core 3 304 penta-core (1P+4E) Wildcat Lake-U processor, the motherboard with [...] The post ACEMAGIC Kron Mini K5 Review - Part 2: A $400 Intel Core 3 304 Wildcat Lake mini PC tested with Windows 11 Pro appeared first on CNX Software - Embedded Systems News. ## GPIBee (UsbGpib V3) USB-to-GPIB adapter gains Ethernet (PoE), but launches as closed-source hardware DevFeed: [GPIBee (UsbGpib V3) USB-to-GPIB adapter gains Ethernet (PoE), but launches as closed-source hardware]() Original publisher: [Read original article]() Author: Jean-Luc Aufranc (CNXSoft) Published: 2026-09-02T10:13:55Z Content type: news Language: en Sources: [CNX Software - Embedded Systems News]() Topics: [Ethernet](), [Hardware](), [USB](), [Embedded Systems](), [Open Source]() Tags: [electronics](), [embedded-systems](), [ethernet](), [firmware](), [hardware](), [linux](), [oscilloscope](), [poe](), [tools](), [usb](), [video]() ### AI overview XyphroLabs' GPIBee, formerly UsbGpib V3, is a USB-to-GPIB adapter that adds Ethernet with PoE, faster USB 2.0 connectivity, and web-based instrument front ends. Unlike the earlier UsbGpib V1 and V2 products, GPIBee launches as closed-source hardware. ### Source excerpt Last December, we wrote about XyphroLabs's UsbGpib open-source hardware, affordable, and portable USB-to-GPIB adapter designed for legacy GPIB/IEEE-488 instruments and offering modern hardware and software. At the time, the UsbGpib V3 was also in the works with Ethernet (PoE) support, and the good news is that it's now available, but named GPIBee. The less good news is that while V1 and V2 were both open-source hardware products (and still are), the GPIBee has been released as closed-source hardware for reasons we'll explain below. GPIBee specifications: Microcontroller - Not disclosed. But not the Microchip ATMega32U4 8-bit AVR MCU found in V2 since its USB interface is limited to 12 Mbps Host interfaces USB 2.0 (480 Mbps) Type-C port with support for four modes Full USBTMC (USB Test and Measurement Class) VXI-11 over USB-Ethernet (CDC NCM) linux-gpib native interface Prologix-compatible (++ commands) via CDC UART (virtual COM port) 10/100Mbps Ethernet RJ45 port [...] The post GPIBee (UsbGpib V3) USB-to-GPIB adapter gains Ethernet (PoE), but launches as closed-source hardware appeared first on CNX Software - Embedded Systems News. ## Circuit Valley CHC5 - A modular USB, HDMI, and Ethernet camera system (Crowdfunding) DevFeed: [Circuit Valley CHC5 - A modular USB, HDMI, and Ethernet camera system (Crowdfunding)]() Original publisher: [Read original article]() Author: Jean-Luc Aufranc (CNXSoft) Published: 2026-09-02T07:25:10Z Content type: news Language: en Sources: [CNX Software - Embedded Systems News]() Topics: [webcam](), [Hardware](), [USB](), [hdmi](), [Ethernet](), [SOC](), [Embedded Systems](), [Linux](), [SDK](), [Open Source]() Tags: [arm](), [buildroot](), [c-c-plus-plus](), [camera](), [computer-vision](), [edge-ai](), [embedded-systems](), [ethernet](), [fpga](), [hardware](), [hdmi](), [kickstarter](), [linux](), [open-source](), [poe](), [sdk](), [soc](), [usb](), [video](), [xilinx-zynq]() ### AI overview CNX Software reports on Circuit Valley's CHC5, a modular camera system built around an AMD/Xilinx Zynq-7020 SoC FPGA. It supports interchangeable sensor and lens configurations, USB, HDMI, and Gigabit Ethernet interfaces, and image-processing and machine-vision workloads. ### Source excerpt Circuit Valley's CHC5 is a modular camera system based on a Core board powered by an AMD/Xilinx Zynq-7020 SoC FPGA, a range of interface boards with USB, HDMI, or Ethernet (PoE), various sensor boards, and a metal enclosure. The solution can be customized with different lens objectives and different sensors with MIPI D-PHY, LVDS, Sub-LVDS, Low Voltage LVDS, or SLVS interfaces. The Zynq-7020's Cortex-A9 cores can handle complex tasks, while the FPGA fabric takes care of high-speed calculation and correction on the image, and can also be leveraged for AI/machine-vision-specific algorithms or complex low-latency hardware acceleration. CHC5 specifications: Core board SoC - Xilinx AMD Zynq-7020 SoC FPGA CPU - Dual-core Arm Cortex-A9 processor FPGA - 85K logic cells, 4.9Mb Block RAM, 220 DSP slices System Memory - 1GB DDR3 Storage 1 Gbit flash memory MicroSD card slot ISP - Full-fledged ISP implemented on FPGA fabric Multiple interface boards with 10Gbps [...] The post Circuit Valley CHC5 - A modular USB, HDMI, and Ethernet camera system (Crowdfunding) appeared first on CNX Software - Embedded Systems News. ## Networking Aspects of Running VMs in Containers DevFeed: [Networking Aspects of Running VMs in Containers]() Original publisher: [Read original article]() Published: 2026-09-02T05:44:00Z Content type: article Language: en Sources: [ipSpace.net blog]() Topics: [Containers](), [virtualization](), [networking](), [Linux](), [Orchestration]() Tags: [bridge](), [containers](), [docker](), [ethernet](), [linux](), [netlab](), [networking](), [podman](), [qemu](), [virtual-machines](), [virtualization]() ### AI overview The article explains how vrnetlab and a containerlab fork package virtual machines, especially network devices, as containers so container orchestration can provision network topologies. It focuses on connecting QEMU virtual network interfaces, Linux tap interfaces, bridges, and container veth pairs, including why data-plane and management interfaces require different handling. ### Source excerpt The vrnetlab project and its containerlab fork implement a wonderful idea: let's package virtual machines (primarily network devices that cannot be containerized) as containers to use reliable orchestration tools like containerlab to provision network topologies. That approach might have a few drawbacks (depending on how the container images are built), but the obvious elephant in the room is: how do you make the virtual network plumbing work? Read more ... ## 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. ## Building a mini Homelab that fits in my carry-on DevFeed: [Building a mini Homelab that fits in my carry-on]() Original publisher: [Read original article]() Author: jeff@jeffgeerling.com (Jeff Geerling) Published: 2026-08-28T15:00:00Z Content type: opinion Language: en Sources: [Jeff Geerling]() Topics: [Homelab](), [networking](), [Ubiquiti](), [Local-First](), [Hardware](), [SOC]() Tags: [5g](), [arm](), [battery](), [building](), [cloud](), [ethernet](), [fees](), [hardware](), [homelab](), [linux](), [local-first](), [networking](), [opnsense](), [portable](), [ubiquiti](), [unifi](), [video](), [vpn](), [youtube]() ### AI overview The author describes building a portable homelab that fits in carry-on luggage for a trip to Chicago. It supports 1-10 Gbps networking, battery operation, multiple WAN connections, and 12 wired Ethernet connections. The article also shares first impressions of Ubiquiti UniFi, highlighting its local-first operation, optional cloud integration, lack of core licensing fees, and easy web-based management, while criticizing its proprietary ecosystem and limited hardware control. ### Source excerpt I'm traveling to Chicago for VCF Midwest next month. I'll be demoing NTP time history on vintage Macs, with my own GPS-derived NTP service hosted on an Xserve G5, synced via NTP or a strange AppleTalk timing extension from the 1990s. So I built a little 'portable homelab' (pictured above) that supports 1-10 Gbps networking, can run off a small battery for at least an hour, switches between multiple WANs (so I can get my own 5G Internet connection, in case I need it), and gives me 12 wired Ethernet connections. ## How Adobe Reduced GPU Idle Time in Generative AI Training Through Faster Data Access and Checkpointing DevFeed: [How Adobe Reduced GPU Idle Time in Generative AI Training Through Faster Data Access and Checkpointing]() Original publisher: [Read original article]() Author: Maddie Presland Published: 2026-08-25T15:22:30Z Content type: article Language: en Sources: [Backblaze Blog | Cloud Storage & Cloud Backup]() Topics: [GPU](), [Training AI Models](), [cloud-infrastructure](), [networking](), [data]() Tags: [ai-ml](), [ai-training](), [b2cloud](), [cloud](), [cloud-storage](), [compute](), [ethernet](), [featured](), [featured-cloud-storage](), [gpu](), [model-training](), [networking]() ### AI overview Adobe's generative AI training pipeline left roughly two-thirds of GPU time waiting for data. The article attributes the waste to storage and retrieval bottlenecks, networking limits, and checkpointing overhead, and describes Adobe's use of a high-performance networking fabric and fragmented checkpoint storage to reduce delays. ### Source excerpt Adobe's experience reveals why GPUs sit idle during AI model training: slow storage, insufficient throughput, and uneven workloads. Learn how storage bottlenecks and uneven data loading leave expensive GPUs idle--and how always-hot, high-throughput object storage keeps AI training pipelines running efficiently at scale while reducing wasted compute costs. The post Why Your GPU Is Sitting Idle: The Data Pipeline Problem No One Talks About appeared first on Backblaze Blog | Cloud Storage & Cloud Backup ## MetaRoCE: A New RDMA Transport Built for AI-Scale Ethernet DevFeed: [MetaRoCE: A New RDMA Transport Built for AI-Scale Ethernet]() Original publisher: [Read original article]() Author: Arvind Srinivasan; Neil Spring; Omar Baldonado; Rajiv Krishnamurthy Published: 2026-08-24T18:02:29Z Content type: article Language: en Sources: [Engineering at Meta]() Topics: [Ethernet](), [Networks](), [AI Infrastructure](), [GPU](), [data centers](), [Low Latency](), [telemetry](), [Inference]() Tags: [ai-infrastructure](), [data-center-engineering](), [data-centers](), [data-infrastructure](), [ethernet](), [gpu](), [low-latency](), [networking-traffic](), [open-source](), [performance](), [real-time](), [telemetry]() ### AI overview Meta introduces MetaRoCE, an RDMA transport protocol designed for AI workloads on commodity Ethernet at million-GPU scale. The article describes its release through the Open Compute Project and explains how endpoint intelligence, packet spraying, fine-grained logical paths, and real-time telemetry aim to provide high throughput, low tail latency, and operational simplicity for distributed training and inference. ### Source excerpt Training and serving frontier AI models depends on fast, reliable networks that move data between GPUs without wasting compute cycles. To meet this challenge at scale, Meta designed MetaRoCE - a clean-sheet RDMA transport protocol purpose-built for AI workloads on commodity Ethernet. We're releasing the MetaRoCE specification, a reference software implementation and a compliance test [...] Read More... The post MetaRoCE: A New RDMA Transport Built for AI-Scale Ethernet appeared first on Engineering at Meta. ## Giga-Scale AI and the Ethernet Evolution: How Spectrum-X Ethernet Rewrites the Rules DevFeed: [Giga-Scale AI and the Ethernet Evolution: How Spectrum-X Ethernet Rewrites the Rules]() Original publisher: [Read original article]() Author: Elizabeth Goodman Published: 2026-08-24T15:08:39Z Content type: article Language: en Sources: [NVIDIA Developer](), [NVIDIA Technical Blog]() Topics: [Spectrum-X](), [Ethernet](), [Generative AI](), [networking](), [datacenter](), [Nvidia]() Tags: [ai](), [ai-agent](), [ai-factory](), [ai-networking](), [data-center](), [data-center-cloud](), [ethernet](), [generative-ai](), [infrastructure](), [internet-communications](), [latency](), [low-latency](), [networking-communications](), [nvidia](), [resilience](), [spectrum-x]() ### AI overview This article explains how the growth of distributed generative AI training has made scale-out networking a major data center performance bottleneck. It contrasts traditional Ethernet with NVIDIA Spectrum-X Ethernet, a hardware-accelerated architecture that co-designs switches and host-side NICs to provide predictable low latency, high fabric utilization, and resilience for large AI workloads. It also introduces Spectrum-X Multiplane technology and describes how AI collective communication exposes limitations in conventional ECMP routing and congestion handling. ### Source excerpt The massive growth of generative AI has fundamentally altered data center design. As distributed model training scales to span hundreds of thousands of GPUs,... ## How XPUs Meet a World-Class AI Factory DevFeed: [How XPUs Meet a World-Class AI Factory]() Original publisher: [Read original article]() Author: Jesse Clayton Published: 2026-08-24T15:00:54Z Content type: article Language: en Sources: [NVIDIA Blog]() Topics: [AI Factory](), [NVLink](), [AI Infrastructure](), [Network](), [networking](), [Low Latency](), [moe](), [Artificial Intelligence](), [Nvidia](), [AI Platform](), [Latency]() Tags: [agentic-ai](), [ai-factory](), [ai-infrastructure](), [ecosystem](), [ethernet](), [gb300-nvl72](), [hardware](), [mixture-of-experts](), [networking](), [nvidia-dsx](), [nvl72](), [nvlink](), [software](), [time](), [xpu]() ### AI overview The article explains how NVLink Fusion combines custom XPUs with NVIDIA's established AI infrastructure to help build semi-custom AI factories. It focuses on scale-up networking, performance, resiliency, telemetry, platform maturity, and the economics of large-scale AI workloads. ### Source excerpt To generate intelligence at scale, AI factories run continuously, and their economics are defined by delivered output: tokens per second, tokens per watt, cost per token, utilization and uptime. That requires AI infrastructure designed and built as a full factory, not a collection of individual accelerators. Hyperscalers and AI-native companies building custom XPUs must consider [...] ## ESPHome 2026.8.0: Bluetooth on more chips than ever DevFeed: [ESPHome 2026.8.0: Bluetooth on more chips than ever]() Original publisher: [Read original article]() Author: Jesse Hills Published: 2026-08-19T00:00:00Z Content type: release Language: en Sources: [ESPHome - Smart Home Made Simple - Blog]() Topics: [esphome](), [Bluetooth](), [networking](), [Raspberry Pi](), [ESP32](), [Ethernet](), [Modbus](), [ESP8266](), [Lvgl]() Tags: [bluetooth](), [esp32](), [esp8266](), [esphome](), [ethernet](), [lvgl](), [modbus](), [networking](), [raspberry-pi](), [release](), [releases]() ### AI overview ESPHome 2026.8.0 expands Bluetooth support beyond ESP32 through a platform-neutral BLE layer, adds Bluetooth Proxy support for more chips and Raspberry Pi Pico W, and introduces faster builds, combined Ethernet and WiFi configuration, Modbus changes, OTA signature verification, and other device and builder improvements. ### Source excerpt ESPHome 2026.8.0 brings Bluetooth to more chips, dramatically faster builds, Ethernet and WiFi together, a major Modbus overhaul, and more. ## I'm excited for Intel after testing the XPS 13 DevFeed: [I'm excited for Intel after testing the XPS 13]() Original publisher: [Read original article]() Author: jeff@jeffgeerling.com (Jeff Geerling) Published: 2026-08-07T14:00:00Z Content type: article Language: en Sources: [Jeff Geerling]() Topics: [intel](), [Benchmark](), [cpu](), [Hardware](), [Linux]() Tags: [apple](), [arm](), [benchmarks](), [cpu](), [dell](), [efficiency](), [ethernet](), [gpu](), [hardware](), [intel](), [laptop](), [linux](), [low-power](), [macbook-neo](), [npu](), [review](), [wifi-7](), [wildcat-lake](), [windows](), [windows-11](), [x86](), [xps](), [youtube]() ### AI overview The article reviews Dell's low-end XPS 13 against Apple's MacBook Neo and highlights the Intel Core 5 320 processor. It reports that the Wildcat Lake chip ranked second in the author's HPL FP64 efficiency benchmark, behind the M4 Mac mini, making it the strongest x86 result described in the supplied text. ### Source excerpt Shortly after Apple launched the budget MacBook Neo, Dell announced their response, a new low-end XPS 13. Matching the Neo's current pricing, it starts at $699, or $599 with an educational discount. That discount is currently set to expire on November 2, and with the current component pricing insanity, I'd be surprised if we don't see a price increase on both laptops by next year. I ran the XPS 13 through my gauntlet of benchmarks, and published a review on my YouTube channel: ## Wireshark: analiza tráfico de red visualmente DevFeed: [Wireshark: analiza tráfico de red visualmente]() Original publisher: [Read original article]() Author: Antonio Pérez Published: 2026-08-02T00:00:00Z Content type: tutorial Language: es Sources: [tengoping.com]() Topics: [TCP/IP](), [Linux](), [Ethernet](), [Debian](), [Ubuntu](), [Command-line interface](), [interfaces](), [macOS](), [Windows]() Tags: [debian](), [ethernet](), [interfaces](), [linux](), [macos](), [tcp-ip](), [terminal](), [ubuntu](), [ubuntu-24-04](), [windows]() ### AI overview A practical guide to Wireshark covering installation, packet capture without running the graphical application as root, display filters, protocol-layer inspection, and TCP flow tracking. It includes real capture examples and discusses the security implications of granting capture permissions. ### Source excerpt Guía práctica de Wireshark: instalación, captura sin root, filtros de visualización, inspección de capas y seguimiento de flujos TCP con ejemplos reales. ## Getting 25 Gbps Thunderbolt Ethernet on my Mac Studio DevFeed: [Getting 25 Gbps Thunderbolt Ethernet on my Mac Studio]() Original publisher: [Read original article]() Author: jeff@jeffgeerling.com (Jeff Geerling) Published: 2026-07-31T14:00:00Z Content type: article Language: en Sources: [Jeff Geerling]() Topics: [Network](), [networking]() Tags: [25g](), [blog](), [ethernet](), [mac](), [macos](), [nas](), [network](), [noctua](), [post](), [thunderbolt]() ### AI overview The article documents an attempt to add 25 Gbps Ethernet to a Mac Studio over Thunderbolt. It covers adapter cost, testing transfers to a NAS, throughput limits, and overheating in a passively cooled 25GbE enclosure. ### Source excerpt I've been using the built-in 10 Gigabit Ethernet on my Mac Studio for a few years. It works fine: I can edit 4K video straight off my NAS over the network, and run backups at around 1 GB/sec. But... I want more. I upgraded my rack and my NAS to 25 GbE a couple years ago, and wanted to upgrade my main workstation, too. ## Introducing the J2sw MTU and Encapsulation Calculator DevFeed: [Introducing the J2sw MTU and Encapsulation Calculator]() Original publisher: [Read original article]() Author: j2sw Published: 2026-07-28T16:37:53Z Content type: tutorial Language: en Sources: [Justin Wilson (j2sw)]() Topics: [Network](), [Tool](), [Ethernet](), [VXLAN]() Tags: [calculator](), [cisco](), [ethernet](), [fragmentation](), [gre](), [headers](), [ipsec](), [ipv4](), [ipv6](), [juniper](), [mikrotik](), [mpls](), [mtu](), [network-engineering-resources](), [network-tools](), [network-troubleshooting](), [overhead](), [payload](), [pppoe](), [vlan](), [vxlan]() ### AI overview The article introduces the J2SW MTU and Encapsulation Calculator, which estimates inner IP MTU and required underlay MTU for combinations of PPPoE, GRE, VLAN, MPLS, VXLAN, and other encapsulations. It explains how Layer 2 tags affect Ethernet frame size separately from IP MTU and describes overhead calculations, including cases where fragmentation can be avoided. ### Source excerpt Ever wondered what the effects of different combinations of PPPoE, GRE, and others have on the MTU of a packet? I am excited to announce the first of many J2 Network tools: the J2SW MTU and Encapsulation Calculator. You select the service MTU and the encapsulation used on the path. The calculator then works out ... Read more The post Introducing the J2sw MTU and Encapsulation Calculator appeared first on Justin Wilson (j2sw). [Next page]()