This Tiny SBC Lets You Swap Interface Modules for Voice, Vision or Sensing

You get an SBC and start building projects on that. You start with a vision project. Then the next project idea needs audio. Perhaps the next one requires a bunch of sensors. Usually that means a stack of HATs on the GPIO header or getting a new SBC.

Vicharak is trying a different route with the Axon-Lite. It's a tiny ARM SBC whose interface modules are swappable, so you change the module to match the job instead of changing the board.

This "reconfigurable computing" pitch is what makes this ARM board slightly different from the rest.

Vicharak already offers a FPGA-based Vaaman and an RAM-based Axion line. The Axon-Lite is the smallest member of its Axon line. So they may be relatively new in this field, but they are not total novices.

Axion Lite Specifications

Let's see what you get on this SBC:

• SoC: Rockchip RK3576 (4× Cortex-A72 + 4× Cortex-A53)
• AI/graphics: 6 TOPS NPU, Mali-G52 MC3 GPU, 16MP ISP
• Memory & storage: LPDDR5 (2GB-8GB), eMMC 5.1 (32GB-128GB), UFS 3.1, SD card
• Modularity: swappable interface modules + board-to-board expansion
• Connectivity: Wi-Fi 6, Bluetooth 5.2, Gigabit Ethernet
• GPIO: Raspberry Pi-compatible 40-pin header

As you can already see, the highlight here is the modularity. The board uses what Vicharak calls its modular connector interface, and the idea is that you snap on a different interface module as needed.

The company shows four so far: Voice Processing, Smart Sensing, AI Data Hub and AI Vision. On top of that, there's board-to-board expansion, so you can stack a daughter board rather than swap.

board to board expansion

There's a but worth keeping in mind. A modular connector is only as useful as the module lineup that actually ships for it. And if this is a proprietary interface, not a standard one, so you will be dependent on whatever expansion board Vicharak is offering.

Under the modules sits a Rockchip RK3576. It's an octa-core chip that slots in above the entry-level RK3566 and below the flagship RK3588, which makes it a sensible middle ground for edge work.

Vicharak lists a 6 TOPS NPU alongside it, the same NPU figure you get on much pricier RK3588 boards, which is plenty for running vision and other on-device AI models locally. The company also claims the SoC is built on a TSMC 5nm process.

Memory is LPDDR5, and storage is flexible with eMMC 5.1, UFS 3.1 and a microSD slot all supported. The inclusion of faster UFS on a board this size is a nice touch.

Swappable Interface

For vision builds, the I/O is generous. You get a 4-lane CSI plus additional 2-lane CSI paths for cameras, a 4-lane DSI for displays, a 16MP ISP, micro HDMI 2.1 and USB-C with display output. Networking covers Wi-Fi 6, Bluetooth 5.2 and Gigabit Ethernet, and there's a Raspberry Pi-compatible 40-pin GPIO header so existing add-ons and pinouts carry over.

Vicharak also mentions on-board battery charging circuitry, which hints at portable, untethered builds.

Software and userbase

Vicharak is pitching the Axon-Lite as a Linux-first board, with a familiar Debian-style environment and the usual apt-driven workflow. Nothing exotic to learn here, in other words.

On the tooling side, the company lists the tools you'd expect for this kind of board: VS Code, Git, Python, Docker and Node.js for general development, and ROS 2, OpenCV, GStreamer, FFmpeg, Jupyter, TensorFlow Lite and ONNX Runtime for the AI, robotics and vision crowd.

Between that and the swappable modules, the target audience is quite spread as it is useful students, hobbyists and product teams prototyping edge AI and vision projects.

Pricing and Availability

Vicharak is pitching the Axon-Lite as a Linux-first board, with a familiar Debian-style environment and the usual apt-driven workflow. Nothing exotic to learn here, in other words.

From students tinkering with AI and embedded systems to hobbyists to product teams prototyping edge AI and vision projects, the target userbase for the board is quite spread.

Axon Lite is available for pre-order for the 4 GB and 8 GB RAM variants with a price tag of Indian rupees 15,930 (around US $165) and 18,299 (around US $200). The board should ship in January 2027. Please check for shipping and custom duty charges.

Pre-order Axion Lite

It is always interesting to see alternative single board computers, specially if they have something different to offer.

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How openEuler Is Reinventing the OS Foundation for the AI Era with SuperPoD and UnifiedBus

The AI doesn't necessarily run on supercomputers (yet), it runs on clusters of hardware pieced together. This is where SuperPoD comes into picture. A SuperPoD is a tightly coupled scale-up system that connects many compute nodes so software can use resources across them more like one system.

So far, the operating system that ties them in a single machine has largely been proprietary. openEuler wants this to be open source, and its latest release shows the push for that.

Need for cluster OS

Linux provides the base for an excellent operating system. But mostly, the OS is confined to one machine. It schedules the memory, the CPU, and the devices inside a single box, and if you want more, you add another box and wire them together over the network.

This has worked so far, but the AI ecosystem demands more than that. Models now run across racks of machines that have to behave like one giant computer (SuperPOD, again), and the network in between becomes the bottleneck for performance.

openEuler is an open-source Linux distribution ecosystem, and its newest release ships focuses on running the whole cluster of AI machines as a single, unified system. The code is open and the community is showing interest in adopting it.

📋

A SuperPoD (also called supernode) is a large cluster of machines wired together closely in such a manner that software can treat the whole thing as one giant computer, rather than as dozens of separate servers.

A Linux distro built for SuperPOD

openEuler 24.03 LTS SP3, released in December 2025, was the first openEuler version built for SuperPoD. openEuler calls it the world's first OS to support this architecture.

openEuler supports SuperPoD through UnifiedBus and its OS software stack. UnifiedBus provides the high-speed interconnect, while the UB OS Component and UB Service Core provide OS and cluster-level services on top of it.

A normal Linux system schedules memory and devices inside one node. UB lets applications reach memory and accelerators sitting in other nodes almost as if they were local. So this openEuler release breaks the single-machine boundary and schedules these distributed resources as one single set.

And as you can see, it matters most for the AI hardware. openEuler also did some of its own tests and claims that the peer-to-peer UB design boosts application performance in large-scale AI compute up to 30 to 50 percent.

Where SuperPoD OS comes from

Let me give you some context to why it's called "world's first SuperPoD OS".

openEuler grew out of Huawei's in-house EulerOS and is now an open-source distribution stewarded by the OpenAtom Foundation. It runs across Arm (including Huawei's Kunpeng), x86, and RISC-V, and the project has passed 16 million installations by the end of 2025.

SuperPoD and UnifiedBus are Huawei technologies used across multiple computing systems, including Atlas AI systems and the TaiShan 950 SuperPoD for general-purpose computing.

The UB OS Component is open sourced in the openEuler community and forms part of openEuler's software support for UnifiedBus.

Intelligence BooM, the full-stack AI layer

Another interesting thing that openEuler is pushing for is Intelligence BooM, its open-source, full-stack AI solution. Full-stack here means that instead of running as a tool, it covers the whole software layer an AI workload needs from the OS up.

Basically, it gives you an out-of-the-box setup for training and running large models, so users don't need to do all the "AI plumbing" from scratch.

Underneath, openEuler keeps working on the low-level plumbing that makes clusters efficient: combining different chip types into one usable pool (heterogeneous compute fusion), letting CPUs and NPUs work on the same job together (co-computing), and sharing memory across chips and machines (memory pooling).

It also splits a single accelerator so several jobs can share it and packs more than one workload onto the same hardware, both aimed at keeping expensive NPUs and XPUs busy.

For regular Joes like you and me, the most interesting part is the DevStation, openEuler's desktop build, which ships with an AI assistant that should handle things like installing software or setting up an environment from natural language commands.

We plan to test DevStation and its openEuler Intelligence assistant on an openEuler 24.03 test machine for day-to-day development and general-purpose use.

Moving towards a community ecosystem

It is interesting to see that most of the open source and open-weight AI models are coming from China.

From the enterprise focused UB Service core to user-focused Intelligence Boom, openEuler is keeping things open and that's a step in the right direction. It is certainly a project to keep an eye on.

If you want to get involved, check out the community page or their GitHub repo for more details.

openEuler Community

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Ubuntu is Tightening its Kernel SRU Cycle to Two Weeks, and Clankers Are to Blame

So far, Canonical has followed a split kernel SRU cycle for Ubuntu, where regular fixes and security patches lived on separate tracks, with a full update every four weeks and a security-focused release at the two-week midpoint for urgent CVE fixes.

If that concept is new to you, a Stable Release Update, or SRU, is how Canonical ships bug fixes and security patches to Ubuntu after a release is out. The kernel gets its own dedicated track for this.

Canonical is replacing both tracks with a single 2-week cycle, and since each new cycle kicks off a week into the current one, this results in a kernel release landing every week.

The new 2-week cycle

Source: Canonical

Each cycle starts with a week of patch integration and prep work. The kernel team selects which fixes land on each kernel, builds the packages, and runs basic smoke tests to catch anything obviously wrong before the build moves on.

Those builds get pushed into Ubuntu's -proposed pocket once the first week wraps up. That is where kernel release candidates live before they have been certified, accessible to those who know where to look but not yet out to general users.

Week two is where Canonical runs the builds through its Ubuntu Certified hardware testing program, putting them through different machine types to make sure nothing breaks in the real world before the kernel ships.

A fresh cycle starts every week regardless of where the current one stands, so there is always a kernel finishing its test run and rolling out. That is how a 2-week cycle ends up delivering a release every week.

And, when something is not safe to ship, Canonical says that they will be clear about that and direct users toward general system hardening advice.

For teams that cannot wait the full two weeks, Canonical is explicitly pointing to -proposed as a fast path. The idea is that you run your own acceptance tests on the build sitting there rather than waiting for certification to wrap up.

Clankers made this inevitable

This change did not come from nowhere; they had to take such a sweeping decision due to clankers. Only last month, we saw how they were bleeding compute resources from git.kernel.org just by scraping it for training data.

For Canonical, their decision was driven by LLMs and AI agents turning vulnerability hunting into something automated and relentless, finding kernel bugs at a scale and speed no individual human researcher could replicate.

The goal is to have a workaround published within 24 to 48 hours of a CVE going public. Not the patch, but something that gets affected systems into a safer state while one is being built.

What the Ubuntu maker is doing here is responding to a rapidly-evolving situation by shortening the window between a CVE going public and a patch landing.

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FOSS Weekly #26.39: Snapdragon X2, Ubuntu 26.10, Konsole, systemd Tricks and a New Project

First thing first. Yesterday, I mistakenly sent the Local AI Weekly newsletter to everyone. That was not supposed to happen. I'll be more careful in the future.

Let's go with our regular dose of Linux and open source.

Snapdragon X2 processor support should be coming to Linux soon. Qualcomm has put out an early developer preview with Debian 13 as the reference environment.

PeppermintOS is switching from Xorg to XLibre for its upcoming Debian and Devuan ISO refreshes, with no plans to move to Wayland for the foreseeable future.

Mozilla and Mistral announced a partnership that adds Mistral Small 4 to Firefox Smart Window, swapping out the OpenAI model that was there before. Both of them believe that an independent browser and a European AI lab act as counterweights in the Big Tech-dominated browser ecosystem.

Valve has quietly open-sourced Lepton, the Android compatibility layer it built for Steam Frame. The tool runs Android games inside a container using Waydroid and LineageOS.

Garuda Linux has graduated its NixOS side project into a proper standalone distro. Garuda Nix now ships bootable ISOs for the Dr460nized and Mokka flavors.

After a decade of the open source Community Edition, Portainer is now changing things. CE stays frozen on 2.x with security patches and some backports, while Portainer 3.0, a Kubernetes-first rebuild, goes closed source.

GrapheneOS is publicly calling out Google for holding Android 17 QPR1 security patches back from non-Pixel OEMs until December.

After years of requiring a phone number even after adding username support, Signal is finally testing numberless registrations.

Then there are the two Ubuntu-related news items this week:

• Ubuntu 26.10 is changing how the desktop handles low memory, giving session-critical services like GNOME Shell a lower OOM score so your browser gets killed before your desktop does.
• Separately, the Ubuntu Wiki got its first comprehensive overhaul since 2010, now running on MediaWiki with niceties like dark mode, mobile support, and a WYSIWYG editor.

This edition of FOSS Weekly is supported by ANY.RUN that is organizing a webinar.

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Tune in to the LIVE webinar on September 30 at 17:00 CEST

🧠 What We’re Thinking About

Andy Nguyen, lead of the PS5 Linux project, is stepping away after a hypervisor exploit he'd been sitting on got reported to Sony's bug bounty program by someone else before he was ready.

🧮 Linux Tips, Tutorials, and Learnings

Most KDE users open Konsole, type commands, and never bother tweaking it. We have some useful tips for you that will change how you use it.

Linux has had NTFS support for years, and it's never been great. NTFS-3G works but is slow and CPU-hungry. The ntfs3 driver is in the kernel but barely maintained. NTFSPlus is the attempt to finally do it properly.

Something broke on your Linux system, and you don't know where to start? Turns out systemd has been keeping detailed records the whole time. You just need to learn how to make good use of the tools that can help you read them.

👷 AI, Homelab and Hardware Corner

I got my hands on Elecrow's new HMI display, a 10.1-inch ESP32-P4 touchscreen built for homelab and maker projects, not for people who want something that works out of the box.

The recently released openKylin 3.0 comes with built-in skills that allow you to control and change system settings via AI agents.

✨ Apps and Projects Highlights

I did a fun project last weekend. I made a Wordle-like puzzle game with Linux terms. It's called Tuxdle.

Every day, you get a new word, and you have to guess the Linux term within 6 attempts. The term could be a distro, a command or popular terms like grub. Rules are explained here. Give it a try and let me know of your feedback, please.

Tasks.org is an open source Android to-do and reminders app that doesn't bombard you with ads nor does it trick you into a data collection scheme.

📽️ Videos for You

Make music listening more enjoyable with this GNOME extension? 👇

Subscribe to It's FOSS YouTube Channel

💡 Quick Handy Tip

Most of the time, you really don't need to install a fully-fledged theme to customize KDE Plasma. You can make do by installing a color scheme of your liking.

First, you need to download the .colors file for the theme of your liking. Then, inside the settings menu, go to Colors & Themes -> Colors. Here, click on "Install from file..." and select the theme file you want to install.

Ensure that the dropdown menu near the accent color palettes says "Accent color from color scheme," then click on the newly added theme, then on "Apply" to get it done.

Desktop Linux is mostly neglected by the industry but loved by the community. For the past 14 years, It's FOSS has been helping people use Linux on their personal computers. And we are now facing the existential threat from AI models stealing our content.

If you like what we do and would love to support our work, please become It's FOSS Plus member. It costs $49 a year (less than the cost of a McDonald's burger a month), and you get an ad-free reading experience with the satisfaction of helping the desktop Linux community. And there are also free Linux ebooks.

Join It's FOSS Plus

🎋 Fun in the FOSSverse

How well-versed are you with the jargon of today's AI age? We are getting back to posting puzzles regularly, so give this new one a try!

Linux Mint is one of the OG Linux projects that deserves more funding, you know. 🫠

🗓️ Tech Trivia: The first successful FORTRAN program ran at IBM on September 20, 1954, pioneering a way for programmers to express computations using algebra-like notation rather than machine code.

The programming language was formally released in 1957 and remains in use today, particularly in science and engineering.

🧑‍🤝‍🧑 From the Community: Daniel was facing an issue with YouTube playing back videos with a delay. He found an open source tool that did the job without much fuss.

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Qualcomm Announces Snapdragon X2 Linux Developer Preview

Qualcomm has put out an early developer preview of Linux for Snapdragon X2 Series laptops, asking kernel developers, distro maintainers, and hardware enablement engineers to get on this hardware and start testing.

They have been laying the groundwork for this since Snapdragon Summit 2025, and the push today is toward getting drivers into mainline rather than shipping out-of-tree patches that only a handful of people can maintain.

This is not aimed at end users.

The progress so far

I don't have a Fastfetch output for this one. 😅

The current preview pairs a Debian 13 "Trixie" userspace with a custom kernel, and the initial focus is on readying up the core pieces developers need before they can do any serious work on the hardware.

System boots are handled via systemd-boot acting as the UEFI manager, while Core I/O covers USB, PCIe, and the Qualcomm Universal Peripheral serial engine for UART, I2C, and SPI connections.

Whereas Mesa's open source Qualcomm drivers handle graphics duties, with Freedreno covering OpenGL, Turnip taking care of Vulkan 1.3, and Rusticl handling OpenCL compute.

Work on all three is ongoing, but display output, browser acceleration, and GPU compute workloads are already possible.

The FastRPC driver, Qualcomm's mechanism for routing compute tasks from the CPU to the DSP, is being pushed upstream to open up the Hexagon NPU for local AI inference workloads. Power management and thermal support are part of this series of developments too.

Two build paths

The official documentation for Snapdragon X2 Linux software outlines two paths that developers can follow.

The first is the unregistered path, where you build the Debian OS layer using prebuilt firmware binaries, getting started without a Qualcomm developer account. The second requires an account, giving you full firmware source access to build everything from scratch.

Prebuilt flashable images are also available if you want to skip the build entirely and go straight to flashing.

Host requirements also differ by what you are building. The Debian layer needs an ARM64 machine running Ubuntu 24.04 LTS or later, or Debian Trixie. The firmware build requires an x86_64 host on Ubuntu 22.04 LTS or later.

If you want to see a hands-on demo of Linux unning on Snapdragon X2 hardware, then this year's Snapdragon Summit (ends today) in Maui, Hawaii, is the place to be!

More of this, please

A staged roadmap, a documentation portal, dedicated build scripts in a public repo, and turning to developers for feedback is something other silicon vendors looking to upstream their work should take note of.

In the end, Linux wins. Every driver that lands in mainline is one fewer patch that distributions have to carry, and that is what eventually makes these machines usable beyond early adopters.

---

Suggested Read 📖: A Linux distro that doesn't plan to stay around long.

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openKylin 3.0 Release Makes it a "AI first" Linux Desktop

openKylin is China's homegrown, open source operating system which is developed by a consortium of companies, research institutes, and individual contributors.

We have covered openKylin in the past but that was more than two years ago. There is a new major release in the form of openKylin 3.0 that brings Linux kernel 7.0, UKUI (desktop environment) 4.24 and deeply integrated AI at the core.

Let's see the highlight of the new release.

AI is at the center of openKylin 3.0

Among the most highlighted changes in the new release is the built-in, all-new KylinBot AI agent framework, along with Xiao K, the AI assistant built on top of it.

Xiao K is basically the graphical interface similar to Hermes Desktop and most other AI tools of this sort. The underlying KylineBot AI agent framework integrates it with the system.

And then it comes with several pre-built system skills like:

• Input Devices: Full coverage for keyboard, mouse, and touchpad.
• Display Control: Screen brightness and OSD display adjustments.
• Network Management: Deep integration with the NetworkManager command-line tool to manage Wi-Fi, Ethernet, and VPNs with a single command.
• Peripheral Management: Bluetooth toggle, device discovery, and automatic audio device pairing.
• System Controls: Power management, taskbar operations, shortcut navigation, and system app controls

Custom skills to interact with your desktop

This way, you can ask the agent in Xiao K to switch off the bluetooth or switch to a different network, change the input keyboard layout and more. You don't need to go through the command line or click through the system settings. The agent does the job for you.

Seems like overkill, right? But it makes more sense if you use the voice input. People these days use Siri hands-off for calling to specific contacts. So, if you could just talk to your computer and ask it to connect to your bluetooth headphone, why not?

Remember that Ubuntu 26.10 is also working on AI integration. Omarch 4.0 got a sudden surge in popularity for AI (and its looks). So, even if you dislike AI, there is a demand for it. And sooner or later, most desktop operating systems will have built-in AI assistants like this. openKylin is just a few steps ahead of its peers.

There are more skills that can be found on openKylin's repo here. It is in Chinese language and I do hope they start offering these features in English as well to cater a larger global audience.

Like Hermes, OpenClaw and other AI tools, Xiao K doesn't stay to your desktop only. You can communicate with it from messaging tools like WeChat, Feishu, DingTalk etc. Telegram and Discord support is planned.

UKUI version 4.24

The UKUI (Ultimate Kylin User Interface) desktop environment is upgraded to version 4.24. The new version brings the following updates:

Standardized API encapsulation across UKUI modules and integration with KACP (Kylin Agent Control Protocol), enabling KylinBot to invoke underlying desktop capabilities via unified APIs.

The new version also brings accessibility support in the form of a screen reader. It also has air gesture controls, which means you can control some desktop functionality with the movement of the hands instead of touching the screen or using a mouse or keyboard.

This works on Android devices thanks to the proximity sensor in the smartphone. Here, Kylin uses the webcam to capture the hand gestures.

The feature to enable dynamic wallpaper is also added for enhanced eye candy. In other visual changes, "Three-Island" taskbar layout mode is added as an option.

Touchpad gets enhanced multi-finger gesture interactions, supporting multitask view, volume control, and other actions using 3-finger and 4-finger gestures.

Rustification

Since both AI and Rust are in trend these days, openKylin 3 has new Rust-based utilities that replace the older, classic utilities.

kylin-time replaces the legacy time utility, kylin-wget replaces the classic wget and kylin-ki18n replaces the ki18n.

Getting openKylin

If you want to give it a try, you can download openKylin from the official website. The ISO is a little over 7 GB. The size is primarily because the OS comes with pre-installed AI models.

Download openKylin 3.0

I plan to test openKylin 3.0 on my spare system. It is okay in VM, but since there is a lot of AI integration and I would like to use them to see how effectively they work on a baremetal system. I will share my findings in a review video. Stay tuned for that.

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Distro With an Expiry Date?Gravity Linux is a New Distro for Apple Silicon

Contrary to what you might expect of a newly launched Linux distribution, Gravity Linux has a long-term goal of not existing as a distro. The project is a Fedora Remix for Apple Silicon Macs that ships with KDE Plasma on Wayland as the default desktop.

Everything in it is built through clean-room reverse engineering, ensuring that no Apple source code, disassembly, or leaked technical information makes its way into the code for this project.

Two developers, Cody Ho and Niklas Sheth, are the main driving forces behind this, forking it from Asahi Linux with a shared goal of bringing Linux to Apple Silicon.

They went down this path due to a difference in contribution policy around LLM use.

Gravity Linux's position is clear from its commit history, where the project's kernel branch carries commits with Assisted-By tags openly crediting AI coding tools alongside the human author.

What its first release delivers

An overview of what's working and what's not.

The first alpha runs on the M4 Mac mini, and both the display controller (DCP) and GPU are working, with OpenGL ES 3.0 and OpenGL 3.3 compliance incorporated, meaning hardware-accelerated graphics is available from the first boot.

Keep in mind that this is a developer-focused alpha release with a few shortcomings that make it unfit for daily use. Suspend does not work, Thunderbolt and USB4 support is nonexistent, and USB-C display output is not supported, though output via HDMI works.

Shutdowns and reboots are described as inconsistent, with the power button recommended as the workaround for getting a predictable experience. Speaker volume is also capped for hardware safety.

Users should also understand that a full reinstall will be needed when the beta arrives sometime later, as the Gravity Linux team does not guarantee an upgrade path from the alpha release.

You can get it for your machine by running this:

curl -fsSL https://install.gravitylinux.org | sh

Distro with an expiry date?

Even though the M4 Mac mini is the first target, it's not the only one. Current plans cover the MacBook Neo and the remaining M4, M4 Pro, and M4 Max lineup, with some new contributors already making progress on several of those devices.

M5 is a different story. On M5 Pro and M5 Max hardware, macOS 27.0 Beta 5 leaves the devices misconfigured at boot, preventing secondary CPU cores from starting. Apple supposedly knows of this issue, but there's no news on when a fix will be delivered.

Gravity Linux also plans to keep the entire M5 lineup on the same firmware version before shipping support, so M5 stays on hold until Apple addresses that issue.

The final goal is to upstream all of its driver work to the Linux kernel and relevant userspace projects while documenting its reverse engineering methods publicly at every step.

The GitHub organization already reflects that direction. Beyond distro-layer scripts, the project maintains forks of the Linux kernel, Mesa, and U-Boot. These are the same upstream projects where this work ultimately needs to land.

Once that upstream work lands, any mainstream Linux distribution would run on supported Apple Silicon hardware without needing a separate remix like this. At that point, Gravity Linux the distro stops being necessary, and that is when the team plans to sunset it.

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