Launching today
Reefy
Turn any PC into a private AI machine
59 followers
Turn any PC into a private AI machine
59 followers
Reefy turns any PC, mini PC, laptop, or GPU box into a private AI server. Unlike a traditional Linux install, there’s no setup: flash a USB drive, boot, and adopt it in your dashboard. Built with Buildroot for fast boot, NVIDIA GPU support, safe A/B upgrades, encrypted backups, remote access, and AI apps like OpenClaw, Hermes, Ollama, vLLM, SGLang, and more.
Hey Product Hunt 👋
I’m Abylay, founder of Reefy.
I built Reefy because I had 8 machines sitting at home collecting dust: Intel NUCs, mini PCs, a Surface laptop, and two NVIDIA GPU boxes I built with my kids.
The hardware was fine. The setup was the problem.
Installing Linux, Docker, NVIDIA drivers, networking, remote access, backups, and updates turns a simple weekend project into a pile of half-working machines.
So I built Reefy.
Reefy turns spare PCs, mini PCs, laptops, and GPU boxes into private AI machines.
Flash the Reefy image to a USB drive, boot the machine, and it appears in your dashboard at reefy.ai. Click “Adopt,” and now you can start OpenClaw, Hermes, Ollama, Frigate, vLLM, SGLang, and other local AI workloads in one click.
You can run multiple isolated agents too: one for personal use, one for business, one for family, or one per experiment.
Reefy also includes:
• NVIDIA GPU autodetection and drivers out of the box
• Encrypted app backups
• A/B OS upgrades with rollback if the new image fails
• Remote access from anywhere
• Estimated cloud cost saved based on your hardware and uptime
The goal is simple:
Make private local AI infrastructure as easy as flashing a USB drive.
Try Reefy here: https://reefy.ai
I can’t wait to see what machines you bring back to life and what AI workloads you run on your own hardware. Tell me in the comments.
if reefy actually handles nvidia driver installation out of the box, you’ve already won. 🫡
@vikramp7470 Thanks! Yep - latest NVIDIA drivers are baked into the Reefy image, so the GPU just works, no manual install and any app that needs the GPU gets it automatically via CDI - the modern Container Device Interface. Drop in Ollama and it just sees the GPU card. 🚀
The 'estimated cloud cost saved' feature is so smart. it’s the best way to justify the power bill to my wife! haha. but seriously, seeing the ROI of your own hardware in real-time makes running local ai feel like a much better investment.
Really great
@priya_kushwaha1 True! :) That is exactly the idea.
We calculate the estimated savings by comparing your device specs, CPU cores, RAM, and disk, against the industry median monthly cost of a roughly equivalent cloud VPS instance, based on publicly available pricing from 5 major providers as of 2026.
For example, you can buy a new mini PC with 8 CPU cores and 16 GB RAM on Amazon for around $269 (https://a.co/d/0cmlYgmk). A similar cloud VPS would cost about $96/month, which means the hardware pays for itself in about 3 months.
After that, every month feels like free compute at home :)
Fun technical detail: Reefy uses A/B OS upgrades.
The new OS image is written to the inactive partition. The machine tries to boot into it, and if something goes wrong, it rolls back to the previous working system.
This approach was inspired by fault-tolerant update systems used in projects like SpaceX Starlink satellites, where failed remote updates are not an option. For anyone interested, Starlink published a great paper on reliable over-the-vacuum updates for thousands of satellites:
https://digitalcommons.usu.edu/cgi/viewcontent.cgi?article=5598&context=smallsat
A bit of backstory: Reefy came from my own pile of machines at home.
One of them was a quiet AMD EPYC home server I built with my kids, which I shared here:
https://www.reddit.com/r/homelab/comments/1hmnnwg/built_a_powerful_and_silent_amd_epyc_home_server/
That project made the problem very clear: the hardware is powerful, but turning it into something reliable and easy to use takes too much work.
Reefy is my attempt to make that kind of hardware useful in minutes.