Ubuntu Category - Page 2 of 193 - CNX Software

February 9, 2025February 9, 2025 by Jean-Luc Aufranc (CNXSoft) - 20 Comments

DeepSeek shown to run on Rockchip RK3588 with AI acceleration at about 15 tokens/s

Rockchip RK3588 DeepSeek R1 NPU acceleration

DeepSeek R1 model was released a few weeks ago and Brian Roemmele claimed to run it locally on a Raspberry Pi at 200 tokens per second promising to release a Raspberry Pi image “as soon as all tests are complete”. He further explains the Raspberry Pi 5 had a few HATs including a Hailo AI accelerator, but that’s about all the information we have so far, and I assume he used the distilled model with 1.5 billion parameters. Jeff Geerling did his own tests with DeepSeek-R1 (Qwen 14B), but that was only on the CPU at 1.4 token/s, and he later installed an AMD W7700 graphics card on it for better performance. Other people made TinyZero models based on DeepSeekR1 optimized for Raspberry Pi, but that’s specific to countdown and multiplication tasks and still runs on the CPU only. So I was happy to finally see Radxa release instructions to […]

February 7, 2025February 7, 2025 by Jean-Luc Aufranc (CNXSoft) - No Comments

FOSSASIA 2025 – Operating systems, open hardware, and firmware sessions

The FOSSASIA Summit is the closest we have to FOSDEM in Asia. It’s a free and open-source event taking place each year in Asia, and FOSSASIA 2025 will take place in Bangkok, Thailand on March 13-15 this year. It won’t have quite as many speakers and sessions as in FOSDEM 2025 (968 speakers, 930 events), but the 3-day event will still have over 170 speakers and more than 200 sessions. Most of the sessions are for high-level software with topics like AI and data science, databases, cloud, and web3, but I also noticed a few sessions related to “Hardware and firmware” and “Operating System” which are closer to what we cover here at CNX Software. So I’ll make a virtual schedule based on those two tracks to check out any potentially interesting talks. None of those sessions take place on March 13, so we’ll only have a schedule for March […]

February 5, 2025February 5, 2025 by Jean-Luc Aufranc (CNXSoft) - 3 Comments

OpenWISP open-source solution facilitates the management of OpenWrt router fleets

OpenWisp OpenWrt router management platform

Last month, I wrote about the WL-AC1000 AP controller, a hardware-based solution to monitor fleets of routers, and wondered why the company (Wallys) did not provide a software solution instead. It was pointed out to me that software AP controller solutions for OpenWrt routers do exist, but they looked not mature. After a quick search, I found OpenWISP described as an “open-source solution for efficient IT network deployment, monitoring & management” designed for OpenWrt Linux routers. OpenWISP allows organizations with several routers to manage them in a centralized location, get alerts when issues occur, upgrade the firmware of multiple routers with a few clicks, create users with permissions to access specific routers, and so on. OpenWISP Features: Configuration Templates – Manage device settings by defining reusable configuration templates that apply updates system-wide with a single change. Automatic Provisioning – Connect and configure new devices with zero-touch auto registration for rapid […]

February 2, 2025 by Jean-Luc Aufranc (CNXSoft) - 5 Comments

Khadas Mind 2 AI Maker Kit Review – Part 3: Ubuntu 24.10 and the importance of power limits

Khadas Mind 2 AI Maker Kit Ubuntu 24.10 Review

I’ve already reviewed the Khadas Mind 2 AI Maker Kit with Windows 11 Home, and today, I’ll report my experience with Linux on the Intel Core Ultra 7 258V mini PC using Ubuntu 24.10 operating system. I would usually review systems with Ubuntu 24.04 LTS OS, but considering the Intel Core Ultra 7 258V SoC is so new, I installed Ubuntu 24.10 when I tested whether disabling VT-d (IOMMU) would improve Intel Arc GPU performance (it does to some extent), and it turns out it was a good decision because Ubuntu 24.04 requires lots of fixes and workarounds to work the Khadas Mind 2 AI Maker Kit, at least until Ubuntu 24.04.2 is released later this month with a more recent kernel. Khadas Mind 2 AI Maker Kit – Ubuntu 24.10 system information My Ubuntu 24.10 installed has both Linux 6.11 (default) and Linux 6.13 kernels, but I did most […]

January 28, 2025January 27, 2025 by Jean-Luc Aufranc (CNXSoft) - 1 Comment

anyon_e DIY laptop features Rockchip RK3588 SoC, 13.3-inch 4K AMOLED display, aluminum chassis

We’ve already seen several Rockchip RK3588 laptops with the Cool Pi laptop and GenBook RK3588, as well as the open-source hardware MNT Reform Next. anyon_e is another open-source DIY laptop based on Rockchip RK3588 octa-core Cortex-A76/A55 SoC but with higher-end specifications compared to competitors. The anyon_e features a 13.3-inch 4K AMOLED display, a wireless QWERTY mechanical keyboard, a custom aluminum chassis that keeps the thickness of the laptop to just 18mm, and a battery good for about 7 hours. It’s based on the FriendlyELEC CM3588 core board found in the CM3588 NAS Kit. anyon_e laptop (preliminary) specifications: SoM – FriendlyELEC CM3588 SoC – Rockchip RK3588 CPU – 4x CortexA76 cores @ up to 2.4 GHz, 4x CortexA55 core @ 1.8 GHz GPU – Arm Mali-G610 MP4 GPU Video decoder – 8Kp60 H.265, VP9, AVS2, 8Kp30 H.264 AVC/MVC, 4Kp60 AV1, 1080p60 MPEG-2/-1, VC-1, VP8 Video encoder – 8Kp30 H.265/H.264 video encoder […]

January 24, 2025January 24, 2025 by Debashis Das - No Comments

Intel N50 fanless open-frame panel PCs features 7” and 10” PCAP touch display, HDMI 2.0a, RS-485/232

BCM OFT10W ADLN Open Frame touch LCD computer

BCM Advanced Research has recently introduced two new fanless open-frame panel PCs powered by an Intel Processor N50 CPU – the OFT07W-ADLN (7-inch) and OFT10W-ADLN (10-inch) – which are low-cost all-in-one embedded computers designed for tablet-like usability. Both modules feature 8GB LPDDR5 memory, 64GB eMMC storage, and an M.2 E-key slot for Wi-Fi/Bluetooth connectivity. These panel PCs come with PCAP touchscreens (800×1280 for 7-inch and 1200×1920 for 10-inch) with various connectivity options including USB, HDMI 2.0a, RS-232/485, and Gigabit Ethernet. With 12-24V DC input supply, fanless operation, and a durable steel frame, these compact open-frame panel PCs are meant for space-constrained applications like HMIs, self-service kiosks, gaming consoles, medical terminals, smart vending machines, digital signage, and more. BCM OFT07W-ADLN and OFT10W-ADLN specifications: SoC – Intel Processor N50 dual-core processor up to 3.4 GHz with 6MB cache, 16EU Intel UHD Graphics; TDP: 6W System Memory – Up to 8GB LPDDR5 onboard Storage – […]

January 23, 2025January 23, 2025 by Jean-Luc Aufranc (CNXSoft) - No Comments

Cincoze DC-1300 is a stackable embedded computer powered by Intel Processor N97 or Core i3-N305 Alder Lake-N SoC

Cincoze DC-1300 stackable embedded computer

Cincoze DC-1300 is an Intel Processor N97 or Core i3-N305 Alder Lake-N embedded computer designed for smart manufacturing that supports stackable expansion boxes (SEBs) that leverage the built-in dual M.2 B Key slots of the system to support various I/O, CAN Bus, and Fieldbus modules. The fanless rugged PC supports up to 16GB DDR5 and M.2 and 2.5-inch SATA storage (no NVMe SSD). It features DisplayPort video output, two 2.5GbE ports, four USB Type-A ports, 3.5mm microphone and line-out audio jacks, and two RS232/RS485 DB9 connectors, and additional display, networking, USB, or DIO interfaces can be added through three CMI module on the main unit and four MEC M.2 card through the optional SEB. Designed for industrial applications, the system supports a wide 9 to 48V DC input and up to -40°C to 70°C temperature range without throttling under load. Cincoze DC-1300 specifications: Alder Lake N-series SoC (one or the […]

January 21, 2025January 21, 2025 by Jean-Luc Aufranc (CNXSoft) - 2 Comments

M5Stack LLM630 Compute Kit features Axera AX630C Edge AI SoC for on-device LLM and computer vision processing

M5Stack LLM630 Compute Kit is an Edge AI development platform powered by Axera Tech AX630C AI SoC with a 3.2 TOPS NPU designed to run computer vision (CV) and large language model (LLM) tasks at the edge, in other words, on the device itself without access to the cloud. The LLM630 Compute Kit is also equipped with 4GB LPDDR4 and 32GB eMMC flash and supports both wired and wireless connectivity thanks to a JL2101-N040C Gigabit Ethernet chip and an ESP32-C6 module for 2.4GHz WiFi 6 connectivity. You can also connect a display and a camera through MIPI DSI and CSI connectors. M5Stack LLM630 Compute Kit specifications: SoC – Axera Tech (Aixin in China) AX630C CPU – Dual-core Arm Cortex-A53 @ 1.2 GHz; 32KB I-Cache, 32KB D-Cache, 256KB L2 Cache NPU – 12.8 TOPS @ INT4 (max), 3.2 TOPS @ INT8 ISP – 4K @ 30fps Video – Encoding: 4K; Decoding:1080p […]