Blog - Turing Pi

May 21, 2026

Pi-hole + Tailscale on Turing Pi 2.5: Network-Wide Ad Blocking and Private Remote Access on ARM

Ad blocking on your home network works well until you leave the house. Pi-hole filters DNS queries for devices on your local network, but that filtering disappears the moment a phone or laptop switches to a different network at a coffee shop, airport, or hotel. Tailscale solves this by creating a private mesh network between […]

May 10, 2026

Everything You Can Self-Host on Turing Pi 2.5: The Complete ARM Homelab Stack Guide (2026)

After the cluster is running, the next question is usually straightforward: what should actually run on it? Turing Pi 2.5 self-hosted apps now cover a far broader range of workloads than earlier ARM homelab systems realistically supported. The RK1 compute modules provide a low-power, always-on ARM64 platform capable of handling storage services, media servers, development […]

May 9, 2026

Incus on Turing Pi 2.5: ARM VM & Container Setup for Homelabs

Most homelab virtualization platforms were built primarily for x86. Proxmox VE is officially x86-only, while ARM support in platforms like VMware ESXi and Hyper-V remains limited, experimental, or outside typical homelab deployment patterns. If you have a Turing Pi 2.5 with RK1 compute modules and want proper service isolation, the practical option is Incus on […]

May 3, 2026

Building a 4-Node Turing Pi 2.5 Cluster: Complete Parts List, Real Costs & What You Actually Need

This Turing pi 2.5 build guide breaks down what you actually need to buy, what each component costs in 2026, and where most builds quietly go over budget. No idealized setups or rounded numbers. Just a practical parts list, clear tradeoffs, and a buying order that lets you start small without wasting money. Quick Overview: […]

April 30, 2026

RK1 Compute Module Benchmarks: CPU, AI Inference, Memory Bandwidth & Thermal Performance

RK1 compute module benchmarks measure how the RK3588 behaves under sustained real-world load, not short burst tests. CPU throughput, memory bandwidth, thermal behavior, power draw, and AI inference were tested on RK1 modules in a Turing Pi 2.5 cluster under continuous workloads until the system reached steady-state performance. Quick Overview: RK1 Compute Module Benchmarks Part […]

April 26, 2026

k3s on Turing Pi 2.5: Persistent Storage and Load Balancing on ARM

Running a demo workload on a bare-metal Kubernetes cluster is easy. Running something you actually depend on is a different problem entirely. The moment you need your data to survive a pod restart, or you want a service to be reachable at a stable IP on your local network, you hit two walls fast: ephemeral […]

April 22, 2026

How to Run LLMs Locally on ARM: Ollama & llama.cpp on Turing Pi 2.5 (RK1 / RK3588)

If you want to run AI locally on ARM hardware, the RK1 compute module on the Turing Pi 2.5 is a genuinely capable starting point. You get a real inference server running 24/7 on your desk, roughly 8-15W per node depending on load, with no API bills, no rate limits, and no data leaving your […]

April 16, 2026

Turing Pi 2.5 Use Cases: 13 Real Projects from Weekend Builds to Production Stacks

The Turing Pi 2.5 is a mini-ITX cluster board that runs up to four compute modules in a single, silent, low-power chassis. Most people buying it already know the hardware specs. What they actually want to know is: what can I realistically build with it? The Turing Pi 2.5 use cases range from simple self-hosted […]

April 15, 2026

Turing Pi 2.5 + RK1 Setup Guide: From Unboxing to a Running k3s Cluster

This is the complete Turing Pi 2.5 setup guide – from physical assembly to a real, working k3s cluster with a deployed application. You’ll flash Ubuntu to your RK1 modules using the onboard BMC, configure static networking, install k3s on a two-node ARM cluster, and deploy Uptime Kuma as your first production-style workload. No hand-waving. […]

November 13, 2025

Mini PC vs Turing Pi for Edge Computing: Why Fortune 500 Choose Clusters

Shopping for a mini PC for edge computing? Here’s what the Fortune 500 actually deploy: Notice a pattern? Zero companies deploy single mini PCs for production edge workloads. Why? Edge computing requires what mini PCs cannot provide: The market agrees: Edge computing market reaching $168 billion by 2025 , driven by billions of IoT devices demanding redundancy. What is Edge […]