Turing Pi

From homelab and edge AI to local LLMs, Turing Pi handles it all. Datacenter-level compute in a desktop design. Join the community

[Turing Pi @turingpi]

https://t.co/uskPjY7PsT

[Turing Pi @turingpi]

Things your homelab will never do:

>raise the price
>deprecate your plan
>sunset the feature you rely on
>update the terms of service
>show you ads

Buy it once. It's yours.

[Turing Pi @turingpi]

If you self-host Nextcloud, WordPress or anything else on PHP, update tonight.

Two flaws let attackers run code on your server without logging in. Attacks have already started.

Fixed in PHP 8.5.12, 8.4.27, 8.3.36 and 8.2.35. There's no workaround.

[Turing Pi @turingpi]

For anyone asking what's in the photo: https://t.co/25Oi76hBcy

[Turing Pi @turingpi]

Things that shouldn't live in someone else's cloud:

>your camera footage
>your voice commands
>your family photos
>your passwords

4 nodes. One board. Your house.

[Turing Pi @turingpi]

https://t.co/yfLp0uxdJ0

[Turing Pi @turingpi]

Your security camera shouldn't come with a subscription to your own footage.

Run AI-powered object detection locally on a Jetson module inside Turing Pi 2.5.

No cloud required for detection. No monthly AI inference fees. Just your cameras, your hardware, and your data.

And that's only one of four compute slots.

[Turing Pi @turingpi]

https://t.co/c64GzfZxPT

[Turing Pi @turingpi]

Anthropic ran a 26B model on 15 cheap TV boxes

>paper: "AI models may be capable of self-replicating without access to a datacenter"
>15 off-brand Android TV boxes, about $55 each
>4GB of RAM per box
>Gemma4-26B split by layers across all 15
>it worked
>0.39 tokens per second
>why so slow? only one box works at a time
>the other 14 wait

Homelab lesson: splitting a model across weak nodes doesn't add up their speed. Fit it in one node's memory and use the rest of the cluster for everything else.
https://t.co/S1sfqaQb5K

[Turing Pi @turingpi]

Paying $15/month to host an app? Another $15 for your database? Another $15 for a side project?

Those subscriptions add up.

With Turing Pi 2.5, you can run up to 4 compute nodes on one board. Host your apps, databases, containers, and local AI workloads on hardware you control.

No per-app cloud hosting bills for what you self-host. Just your hardware, power, and internet.

Stop renting compute. Start owning it.

Build your own cluster → https://t.co/GHuQ66S0qP

[Turing Pi @turingpi]

The quietest data center you'll ever own fits next to your coffee.

[Turing Pi @turingpi]

https://t.co/Q88oy3vjNc

[Turing Pi @turingpi]

@r_teammaui No official Plan 9 support at the moment. Turing Pi 2.5 is OS-agnostic, so it would depend on Plan 9 support for the individual compute modules.

[Turing Pi @turingpi]

Why pay for four virtual servers when you can own four real ones?

[Turing Pi @turingpi]

@GeorgeChri29050 Turing Pi 2.5 supports up to 4 CM4 modules using adapters. You can even mix CM4s with RK1 and NVIDIA Jetson modules.

Board: https://t.co/25Oi76hBcy

Supported modules: https://t.co/YvxnldAJoj

[Turing Pi @turingpi]

@NeilMcCauley27 we ship to India

[Turing Pi @turingpi]

https://t.co/wTRcZbOjQl

[Turing Pi @turingpi]

You should be able to run AI without renting someone else’s computer.
You should be able to choose exactly what hardware your workloads run on.
You should be able to mix ARM, NVIDIA, and other compute in the same system.
You should be able to put powerful hardware where it matters and efficient nodes everywhere else.
You should be able to add more compute without replacing the machine you already built.
You should be able to run local models on your own hardware.
You should be able to run containers, databases, agents, home automation, and services beside them.
You should be able to keep your data inside your own network.
You should be able to build a real cluster that fits on a desk.
You should be able to run it 24/7 without keeping your laptop or desktop alive.
You should be able to reach it from anywhere.
You should be able to decide what touches the internet and what never leaves your network.
You should be able to upgrade one node without rebuilding everything.
You should be able to replace one node without taking the whole system down.
You should be able to experiment without watching a cloud bill climb by the hour.
You should be able to see exactly what is running, where it is running, and what it is doing.
You should be able to change it.
You should be able to break it.
You should be able to rebuild it better.
You should own the hardware.
You should own the stack.
You should own the compute.
Your infrastructure should be yours.

[Turing Pi @turingpi]

$379 for Turing RK1 32GB vs $350 for Raspberry Pi 5 16GB

and RK1 still has 2x the RAM + 2x the cores + GPU + NPU + 32GB onboard storage

yeah... that $29 gap is kinda ridiculous

[Turing Pi @turingpi]

There’s never been a better time to start self-hosting than right now.