Playing Factorio On A Floppy Disk Cluster

January 13, 2026 by 9 Comments

While a revolutionary storage system for their time, floppy disks are not terribly useful these days. Though high failure rates and slow speeds are an issue, for this project, the key issue is capacity. That’s because [DocJade’s] goal is playing the video game Factorio off floppy disks. 

Storing several gigabytes of data on floppy disks is a rather daunting challenge. But instead of using a RAID array, only a single reader and a custom file system is deployed in this setup. A single disk is dedicated to storing pool information allowing for caching of file locations, reducing disk swaps. The file system can also store single files across multiple disks for storage of larger files. Everything mounts in fuse and is loosely POSIX compliment, but lacks some features like permissions and links.

With the data stored across thousands of disks, the user is prompted to insert a new disk when needed. This ends up being the limiting factor in read and write speeds, rather than the famously slow speeds of floppies. In fact, it takes about a week to load all of Factorio in this manner, even after optimizations to reduce disk swaps. Factorio is also one of the few games that could be installed in this manner, as it loads most of the game into memory at launch. Many other games that dynamically load textures and world maps would simply crash when a chunk is not immediately available.

Not a Factorio fan? No worries, you could always install modern Linux on a floppy!

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Kubernetes Cluster Goes Mobile In Pet Carrier

November 18, 2025 by 7 Comments

There’s been a bit of a virtualization revolution going on for the last decade or so, where tools like Docker and LXC have made it possible to quickly deploy server applications without worrying much about dependency issues. Of course as these tools got adopted we needed more tools to scale them easily. Enter Kubernetes, a container orchestration platform that normally herds fleets of microservices in sprawling cloud architectures, but it turns out it’s perfectly happy running on a tiny computer stuffed in a cat carrier.

This was a build for the recent Kubecon in Atlanta, and the project’s creator [Justin] wanted it to have an AI angle to it since the core compute in the backpack is an NVIDIA DGX Spark. When someone scans the QR code, the backpack takes a picture and then runs it through a two-node cluster on the Spark running a local AI model that stylizes the picture and sends it back to the user. Only the AI workload runs on the Spark; [Justin] also is using a LattePanda to handle most of everything else rather than host everything on the Spark.

To get power for the mobile cluster [Justin] is using a small power bank, and with that it gets around three hours of use before it needs to be recharged. Originally it was planned to work on the WiFi at the conference as well but this was unreliable and he switched to using a USB tether to his phone. It was a big hit with the conference goers though, with people using it around every ten minutes while he had it on his back. Of course you don’t need a fancy NVIDIA product to run a portable kubernetes cluster. You can always use a few old phones to run one as well.

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Pi Compute Modules Make For Compact Cluster

November 12, 2025 by 23 Comments

Raspberry Pi clusters have been a favorite project of homelabbers and distributed computing enthusiasts since the platform first launched over a decade ago, and for good reason. For an extremely low price this hardware makes it possible to experiment with parallel computing — something that otherwise isn’t easily accessible without lots of time, money, and hardware. This is even more true with the compute modules, as their size and cost makes some staggering builds possible like this cluster sporting 112 GB of RAM.

The project is based on the NanoCluster, a board that can hold seven compute modules in a form factor which, as [Christian] describes it, is about the size of a coffee mug. That means not only does it have a fairly staggering amount of RAM but also 28 processor cores to work with. Putting the hardware together is the easy part, though; [Christian] wanted to find the absolute easiest way of managing a system like this and decided on gitops, which is a method of maintaining a server where the desired system state is stored in Git, and automation continuously ensures the running environment on the hardware matches what’s in the repository.

For this cluster, it means that the nodes themselves can be swapped in and out, with new nodes automatically receiving instructions and then configuring themselves automatically. Updates and changes made on Git are pushed to the nodes automatically as well and there’s not much that needs to be done manually at all. In much the same way that immutable Linux distributions move all of the hassle of administering a system to something like a config file, tools like gitops do the same for servers and clusters like this, and it’s worth checking out [Christian]’s project to get an idea of just how straightforward it can be now.

The five picos on two breadboards and the results of image convolution.

PentaPico: A Pi Pico Cluster For Image Convolution

May 20, 2025 by 22 Comments

Here’s something fun. Our hacker [Willow Cunningham] has sent us a copy of their homework. This is their final project for the “ECE 574: Cluster Computing” course at the University of Maine, Orono.

It was enjoyable going through the process of having a good look at everything in this project. The project is a “cluster” of 5x Raspberry Pi Pico microcontrollers — with one head node as the leader and four compute nodes that work on tasks. The software for both types of node is written in C. The head node is connected to a workstation via USB 1.1 allowing the system to be controlled with a Python script.

The cluster is configured to process an embarrassingly parallel image convolution. The input image is copied into the head node via USB which then divvies it up and distributes it to n compute nodes via I2C, one node at a time. Results are given for n = {1,2,4} compute nodes.

It turns out that the work of distributing the data dwarfs the compute by three orders of magnitude. The result is that the whole system gets slower the more nodes we add. But we’re not going to hold that against anyone. This was a fascinating investigation and we were impressed by [Willow]’s technical chops. This was a complicated project with diverse hardware and software challenges and they’ve done a great job making it all work and in the best scientific tradition.

It was fun reading their journal in which they chronicled their progress and frustrations during the project. Their final report in IEEE format was created using LaTeX and Overleaf, at only six pages it is an easy and interesting read.

For anyone interested in cluster tech be sure to check out the 256-core RISC-V megacluster and a RISC-V supercluster for very low cost.

Self-Hosting A Cluster On Old Phones

April 9, 2025 by 34 Comments

The phones most of us carry around in our pockets every day hold a surprising amount of computing power. It’s somewhat taken for granted now that we can get broadband in our hands in most places; so much so that when one of these devices has reached the end of its life it’s often just tossed in a junk drawer even though its capabilities would have been miraculous only 20 years ago. But those old phones can still be put to good use though, and [Denys] puts a few of them back to work running a computing cluster.

Perhaps the most significant flaw of smartphones, though, is that most of them are locked down so much by their manufacturers that it’s impossible to load new operating systems on them. For this project you’ll need to be lucky enough (or informed enough) to have a phone with an unlockable bootloader so that a smartphone-oriented Linux distribution called postmarketOS can be installed. With this nearly full-fledged Linux distribution to work from, the phones can be accessed by ssh and then used to run Kubernetes for the computing cluster. [Denys] has three phones in his cluster that run a few self-hosted services for him.

[Denys] also points out in his guide that having a phone that can run postmarketOS might save some money when compared to buying a Raspberry Pi to run the same service, and the phones themselves can often be more powerful as well. This is actually something that a few others have noted in the past as well. He’s gone into a considerable amount of detail on how to set this up, so if you have a few old smartphones gathering dust, or even those with broken screens or other physical problems where the underlying computing resources are still usable, it’s a great way to put these machines back to work.

Thanks to [mastro Gippo] for the tip!

Hackaday Podcast Episode 270: A Cluster Of Microcontrollers, A Rocket Engine From Scratch, And A Look Inside Voyager

May 10, 2024 by No comments

Join Hackaday Editors Elliot Williams and Tom Nardi as they get excited over the pocket-sized possibilities of the recently announced 2024 Business Card Challenge, and once again discuss their picks for the most interesting stories and hacks from the last week. There’s cheap microcontrollers in highly parallel applications, a library that can easily unlock the world of Bluetooth input devices in your next project, some gorgeous custom flight simulator buttons that would class up any front panel, and an incredible behind the scenes look at how a New Space company designs a rocket engine from the ground up.

Stick around to hear about the latest 3D printed gadget that all the cool kids are fidgeting around with, a brain-computer interface development board for the Arduino, and a WWII-era lesson on how NOT to use hand tools. Finally, learn how veteran Hackaday writer Dan Maloney might have inadvertently kicked off a community effort to digitize rare documentation for NASA’s Voyager spacecraft.

Check out the links below if you want to follow along, and as always, tell us what you think about this episode in the comments!

Download your very own copy of the podcast right about here.

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256-Core RISC-V Megacluster

May 7, 2024 by 16 Comments

Supercomputers are always an impressive sight to behold, but also completely unobtainable for the ordinary person. But what if that wasn’t the case? [bitluni] shows us how it’s done with his 256-core RISC-V megacluster.

While the CH32V family of microcontrollers it’s based on aren’t nearly as powerful as what you’d traditionally find in a supercomputer, [bitluni] does use them to demonstrate a property of supercomputers: many, many cores doing the same task in parallel.

To recap our previous coverage, a single “supercluster” is made from 16 CH32V003 microcontrollers connected to each other with an 8-bit bus, with an LED on each and the remaining pins to an I/O expander. The megacluster is in turn made from 16 of these superclusters, which are put in pairs on 8 “blades” with a CH32V203 per square as a bridge between the supercluster and the main 8-bit bus of the megacluster, controlled by one last CH32V203.

[bitluni] goes into detail about designing PCBs that break KiCad, managing an overcrowded bus with 16 participants, culminating in a mesmerizing showcase of blinking LEDs showing that RC oscillators aren’t all that accurate.

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