Home Assistant on Turing Pi 2.5: Self-Hosted Smart Home on ARM64

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Home Assistant on Turing Pi 2.5: Self-Hosted Smart Home on ARM64

An 8GB RK1 node can comfortably handle Home Assistant alongside Pi-hole, Tailscale, Mosquitto, Portainer, and Uptime Kuma while still maintaining the low power profile expected from ARM infrastructure. That is the real appeal of running Home Assistant on Turing Pi 2.5 hardware: the RK3588 has enough headroom to consolidate several self-hosted stacks onto a single […]

Ansible on Turing Pi 2.5: Automate Your RK1 Cluster with Infrastructure-as-Code

Every time you install a package on one node, you SSH into the next and repeat the same steps manually. Rebuilding a failed node means retracing commands from memory, while configurations slowly drift between machines until no two nodes are exactly alike. That is the operational reality of managing a multi-node homelab cluster without automation. […]

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 […]

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 […]

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 […]

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 […]

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