# Techno Tim Techno Tim Home - Documentation and More This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## What Is an NPU Actually For? CPU vs GPU vs NPU in Frigate DevFeed: [What Is an NPU Actually For? CPU vs GPU vs NPU in Frigate]() Original publisher: [Read original article]() Author: Techno Tim Published: 2026-08-22T13:00:00Z Content type: article Language: en Sources: [Techno Tim]() Topics: [cpu](), [object-detection](), [GPU](), [real-time](), [benchmarking](), [Benchmark](), [Hardware](), [Inference](), [intel](), [Latency](), [cloud-infrastructure]() Tags: [ai](), [benchmark](), [comparison](), [cpu](), [edge](), [gpu](), [hardware](), [inference](), [intel](), [latency](), [object-detection](), [real-time](), [video]() ### AI overview The article compares CPU, integrated GPU, and NPU performance for continuous real-time object detection in Frigate using OpenVINO, four repeatable camera streams, and the same YOLOv9 model. It finds that the NPU did not replace the GPU but matched the integrated GPU while using less total system power and leaving more GPU capacity available for other work. ### Source excerpt NPUs are showing up in more computers, but their job is still harder to explain than the CPU or GPU. I know what I use a CPU for. I know what I use a GPU for. The NPU was kind of a mystery to me. To find out where it actually fits, I ran the same real-time object detection workload on the CPU, GPU, and NPU inside the MINISFORUM MS-03. The test used Frigate, OpenVINO, four repeatable camera st... ## The Mini Rack Accessories You Didn't Know You Needed DevFeed: [The Mini Rack Accessories You Didn't Know You Needed]() Original publisher: [Read original article]() Author: Techno Tim Published: 2026-07-28T13:00:00Z Content type: article Language: en Sources: [Techno Tim]() Topics: [Homelab](), [Hardware](), [Network]() Tags: [3d](), [accessories](), [building](), [hardware](), [homelab](), [kvm](), [lighting](), [network](), [products](), [remote](), [storage](), [testing](), [ups]() ### AI overview This article evaluates accessories for building a 10-inch mini rack, covering shelves, cooling, patch panels, lighting, displays, power accessories, a compact UPS, and a four-port network KVM. The author installs the equipment in a 12U DeskPi RackMate T2 and discusses its design, usability, and hardware limitations. ### Source excerpt The easy part of building a mini rack is deciding what goes inside it. You probably already know which switch, mini PC, or storage device you want. Everything after this is the hard part. How do you power everything without filling the rack with adapters? Where does the UPS go? How do you handle cooling, cables, patching, remote access, and a local display without using up every rack unit? T... ## Ubuntu Server on the NVIDIA DGX Spark (Without the Desktop) DevFeed: [Ubuntu Server on the NVIDIA DGX Spark (Without the Desktop)]() Original publisher: [Read original article]() Author: Techno Tim Published: 2026-06-22T13:00:00Z Content type: tutorial Language: en Sources: [Techno Tim]() Topics: [DGX Spark](), [Ubuntu](), [NVIDIA DGX](), [GPU](), [NVLink](), [CUDA](), [Docker](), [Ansible](), [vllm](), [Blackwell](), [networking](), [GitHub]() Tags: [ai](), [ansible](), [blackwell](), [cuda](), [dell](), [dgx-spark](), [docker](), [github](), [gpu](), [homelab](), [networking](), [nvidia-dgx](), [nvlink](), [ubuntu](), [vllm]() ### AI overview A guide to replacing DGX OS with a minimized Ubuntu 24.04 Server installation on GB10 systems such as the NVIDIA DGX Spark and ASUS Ascent GX10. It explains the memory and power benefits of removing GNOME while retaining the NVIDIA drivers, CUDA, Docker, and NVIDIA Container Toolkit, and covers ConnectX-7 networking, dual-node setup, and Ansible automation. ### Source excerpt When you buy an NVIDIA DGX Spark or an ASUS Ascent GX10, it ships with DGX OS. DGX OS is NVIDIA's managed Ubuntu image, and it is fine - if you want a full GNOME desktop on an AI box. I did not want that. The GB10 has 128 GB of unified memory shared between the CPU and GPU over NVLink-C2C. Every gigabyte the OS and desktop environment consume is a gigabyte not available to your model. On the ... ## I Went to COMPUTEX 2026. Here's What Actually Stood Out. DevFeed: [I Went to COMPUTEX 2026. Here's What Actually Stood Out.]() Original publisher: [Read original article]() Author: Techno Tim Published: 2026-06-07T13:00:00Z Content type: opinion Language: en Sources: [Techno Tim]() Topics: [AI Infrastructure](), [Hardware](), [Artificial Intelligence](), [NVIDIA Research](), [pc](), [networking](), [Robotics]() Tags: [2026](), [ai](), [ai-infrastructure](), [hardware](), [infrastructure](), [networking](), [nvidia](), [nvl72](), [pc](), [robotics](), [scale](), [storage]() ### AI overview A first-person report from COMPUTEX 2026 describing how thoroughly artificial intelligence dominated the hardware show. The article highlights AI infrastructure, workstations, PCs, NAS and storage, edge devices, servers, factories, agents, and the networking, power, and cooling systems supporting them, with NVIDIA's influence visible across many vendor demonstrations. ### Source excerpt COMPUTEX 2026 was my first hardware show at this scale, and I went in expecting AI to be a major theme. That part was obvious before I even landed in Taipei. What I didn't expect was how completely it had taken over. Every company at the show was telling an AI story. COMPUTEX 2026 officially ran under the theme "AI Together." It had 1,500 exhibitors from 33 countries, 6,000 booths, and major c... ## Running the Latest vLLM on the NVIDIA DGX Spark DevFeed: [Running the Latest vLLM on the NVIDIA DGX Spark]() Original publisher: [Read original article]() Author: Techno Tim Published: 2026-05-21T13:00:00Z Content type: tutorial Language: en Sources: [Techno Tim]() Topics: [vllm](), [DGX Spark](), [Docker](), [Dockerfile](), [GitHub Actions](), [NCCL](), [CUDA](), [PyTorch](), [GitHub](), [NGC](), [GPU](), [Ubuntu]() Tags: [ai](), [cuda](), [dgx-spark](), [docker](), [docker-image](), [github](), [github-actions](), [gpu](), [homelab](), [nccl](), [ngc](), [nvidia-dgx](), [pytorch](), [self-hosted](), [ubuntu](), [vllm]() ### AI overview This tutorial presents a reproducible Docker image pipeline for running current vLLM releases on the NVIDIA DGX Spark's GB10 ARM64 platform. It explains why NVIDIA's NGC images can lag upstream and describes a GitHub Actions build on a self-hosted Spark runner with pinned inputs and generated lockfiles. ### Source excerpt When I built my local AI cluster on a pair of ASUS Ascent GX10s, the hard part was not serving a model. The hard part was getting a working vLLM image with current components. NVIDIA's official image was already over a month behind by the time I needed it, and waiting on their release schedule was not an option. If you saw that post, you know the GX10 is an ARM64 machine built around NVIDIA's ... ## I Built a 256GB Local AI Cluster on My Desk DevFeed: [I Built a 256GB Local AI Cluster on My Desk]() Original publisher: [Read original article]() Author: Techno Tim Published: 2026-05-18T13:00:00Z Content type: article Language: en Sources: [Techno Tim]() Topics: [Local AI](), [Artificial Intelligence](), [agentic-coding](), [Hardware](), [Homelab](), [coding](), [model-serving](), [vllm](), [networking](), [Docker](), [NCCL](), [Monitoring]() Tags: [agentic-coding](), [ai](), [docker](), [github](), [hardware](), [homelab](), [local-ai](), [model-serving](), [monitoring](), [nccl](), [networking](), [self-hosted](), [self-hosted-ai](), [server](), [vllm]() ### AI overview The article tests a two-node local AI cluster built from ASUS Ascent GX10 systems, using one machine for practical agentic coding and two machines to run a larger local model. It evaluates a real coding workflow involving model serving, storage, networking, memory, Docker, NCCL, monitoring, power draw, and the application being built, concluding that local AI is capable and cloud-independent but still operationally complex. ### Source excerpt I have been covering local and self-hosted AI for a few years now - from running models privately at home to what is still running in my homelab today. But to run the larger, more capable models, you need something more specialized than a general-purpose home server. I wanted to know how good local AI has actually gotten, so I built a mini AI cluster on my desk and used it for a real coding wo... ## GPU-Accelerated Remote Desktop on Linux from macOS - the Hard Way DevFeed: [GPU-Accelerated Remote Desktop on Linux from macOS - the Hard Way]() Original publisher: [Read original article]() Author: Techno Tim Published: 2026-04-13T13:00:00Z Content type: tutorial Language: en Sources: [Techno Tim]() Topics: [GPU](), [Linux](), [Ubuntu](), [macOS](), [Nvidia](), [CUDA](), [Blackwell](), [Latency](), [Microsoft]() Tags: [blackwell](), [cuda](), [gpu](), [homelab](), [latency](), [linux](), [macos](), [microsoft](), [nvidia](), [ubuntu]() ### AI overview This article documents the troubleshooting process for achieving GPU-accelerated H264 encoding over RDP from Ubuntu 24.04 ARM64 systems with NVIDIA GB10 Grace-Blackwell hardware to macOS. It compares xrdp's software-rendering path with GNOME Remote Desktop's CUDA-backed encoding and describes connection problems encountered with Microsoft's Windows App on macOS. ### Source excerpt What started as "just set up RDP" turned into an all day rabbit hole about how Linux remote desktop actually works, why most of it doesn't work with NVIDIA on ARM64, and what it actually takes to get GPU-accelerated H264 encoding over RDP from an Ubuntu machine to a Mac. What I was trying to do I have two ASUS Ascent GX10 machines running Ubuntu 24.04. They are ARM64 systems built around th... ## I Built a Real 3-2-1 Backup System with TrueNAS, Offsite Replication, and UNAS DevFeed: [I Built a Real 3-2-1 Backup System with TrueNAS, Offsite Replication, and UNAS]() Original publisher: [Read original article]() Author: Techno Tim Published: 2026-04-12T13:00:00Z Content type: tutorial Language: en Sources: [Techno Tim]() Topics: [truenas](), [Homelab](), [Replication](), [Server]() Tags: [backup](), [homelab](), [nas](), [offsite](), [replication](), [truenas]() ### AI overview A homelab operator describes building a 3-2-1 backup system for roughly 30 TB of data. The setup uses an offsite TrueNAS box, a redesigned main NAS, and a third copy on another platform to support simpler individual-file restores while avoiding ongoing cloud-backup costs. ### Source excerpt What started as, "I just need a backup," turned into a full rebuild. I wanted a real 3-2-1 backup system for my homelab without signing up for a giant cloud bill to cover roughly 30TB of data. That ended up meaning an offsite TrueNAS box, a redesign of the main NAS, and eventually a third copy on a different platform so pulling back one file would not turn into a ZFS project. Watch the vide... ## What I'm Running in My Homelab in 2026 DevFeed: [What I'm Running in My Homelab in 2026]() Original publisher: [Read original article]() Author: Techno Tim Published: 2026-03-15T13:00:00Z Content type: article Language: en Sources: [Techno Tim]() Topics: [Homelab](), [Docker Compose](), [Kubernetes](), [systems](), [Network](), [Security](), [hosting](), [Server]() Tags: [docker](), [homelab](), [kubernetes](), [network](), [security](), [self-hosting](), [servers](), [systems]() ### AI overview An overview of the software, services, and network organization in a 2026 homelab. It describes running internal applications on TrueNAS with Docker Compose, public-facing workloads in Kubernetes at a co-location facility, and a simplified VLAN structure for trusted, IoT, camera, and management devices. ### Source excerpt In my last homelab tour, I focused on the hardware. This time, I wanted to answer the question a lot of people asked after that video: what am I actually running on all of this infrastructure? So this is the software side of the lab in 2026. The services, the applications, and the systems that make the hardware useful. Some of this is practical. Some of it is for learning. Some of it replace... ## My 2026 Homelab Tour (Rack + Servers + Network + Storage) DevFeed: [My 2026 Homelab Tour (Rack + Servers + Network + Storage)]() Original publisher: [Read original article]() Author: Techno Tim Published: 2026-02-26T13:00:00Z Content type: article Language: en Sources: [Techno Tim]() Topics: [Homelab](), [Network](), [Server](), [5G](), [Ansible](), [Pi-hole](), [USB](), [ssh]() Tags: [2026](), [5g](), [ansible](), [backup](), [dns](), [homelab](), [hosting](), [house](), [hub](), [internet](), [network](), [poe](), [raspberry-pi](), [self-hosting](), [server](), [servers](), [ssh](), [storage](), [testing](), [ups]() ### AI overview A 2026 tour of a homelab covering network connectivity, backup 5G internet, whole-home wiring, PoE equipment, Raspberry Pi systems, UPS coordination, NUT Server, Pi-hole, and Ansible-based SSH key rotation. ### Source excerpt My homelab has changed again... 2026. This year turned into a full evolution: network upgrades, compute refreshes, storage testing, and a bunch of power/UPS changes that change how I run (and recover) everything. Self-hosting guide next - subscribe for the follow up. Watch the video The wall of tech (everything that doesn't fit the rack) Before we even touch the rack, let's start with th... ## Beelink ME Pro: Tiny NAS, Stacked Hardware DevFeed: [Beelink ME Pro: Tiny NAS, Stacked Hardware]() Original publisher: [Read original article]() Author: Techno Tim Published: 2026-02-09T13:00:00Z Content type: article Language: en Sources: [Techno Tim]() Topics: [Hardware](), [Server](), [Containers](), [App](), [Databases](), [Latency]() Tags: [app](), [boot](), [containers](), [databases](), [ethernet](), [hardware](), [homelab](), [intel](), [latency](), [mirror](), [nas](), [performance](), [plex](), [servers](), [storage](), [truenas](), [usb]() ### AI overview A hands-on review of the Beelink ME Pro, a compact NAS-style mini PC with dual 2.5GbE and 5GbE networking, three NVMe slots, two SATA bays, and 12GB of LPDDR5 memory. The article describes a TrueNAS SCALE setup using mirrored SATA storage for bulk data and mirrored NVMe storage for apps and containers, with SMB transfer and Plex hardware-transcoding tests. ### Source excerpt The sub-$400 NAS market is crowded right now. The Beelink ME Pro stood out to me because it's small, quiet, easy to work on, and it has a really nice mix of hardware for the money: 5GbE + 2.5GbE, three NVMe slots, two SATA bays, 12GB LPDDR5. In this video, I set it up the way I'd actually use it: bulk storage on SATA, fast NVMe for apps/containers, real SMB transfers, and a Plex hardware tran... ## Self-Hosted Paperless-ngx + Optional Local AI: Private Documents and Improves OCR & Search (Full Setup) DevFeed: [Self-Hosted Paperless-ngx + Optional Local AI: Private Documents and Improves OCR & Search (Full Setup)]() Original publisher: [Read original article]() Author: Techno Tim Published: 2026-01-27T13:00:00Z Content type: tutorial Language: en Sources: [Techno Tim]() Topics: [Docker Compose](), [Local AI](), [Docker](), [Artificial Intelligence](), [configuration](), [Database](), [Redis](), [Linux](), [Server](), [GPU]() Tags: [ai](), [compose](), [docker](), [gpu](), [homelab](), [linux](), [local](), [local-ai](), [ocr](), [paperless-ngx](), [redis](), [search](), [self-hosted]() ### AI overview A tutorial for deploying a self-hosted Paperless-ngx document management stack with Docker Compose. It explains the core OCR, indexing, tagging, and search workflow, then adds optional local AI through Ollama, Open WebUI, Paperless-AI, and Paperless-GPT to improve OCR and metadata suggestions without using cloud services. ### Source excerpt Build a complete Paperless-ngx stack in Docker and take control of your documents. We'll get Paperless running first (works great on its own), then optionally add local AI with Ollama + Open WebUI and upgrade OCR using Paperless-GPT and Paperless-AI for more accurate, searchable text and tags - no cloud required. This post walks through a complete, repeatable Docker Compose for Paperless-ngx, ... ## Using the UniFi Travel Router as a Portable Extension of a Home UniFi Network DevFeed: [Using the UniFi Travel Router as a Portable Extension of a Home UniFi Network]() Original publisher: [Read original article]() Author: Techno Tim Published: 2025-12-29T13:00:00Z Content type: tutorial Language: en Sources: [Techno Tim]() Topics: [Network](), [Virtual Private Network](), [Homelab](), [App]() Tags: [devices](), [homelab](), [laptop](), [network](), [portable](), [router](), [travel](), [unifi](), [unifi-travel-router](), [vpn](), [wifi]() ### AI overview A video walkthrough of using the UniFi Travel Router as a portable extension of a home UniFi network. It covers WiFi, Ethernet, and phone-tethered uplinks, Teleport VPN connectivity, setup through the UniFi Network mobile app, and speed tests. ### Source excerpt When you travel with multiple devices (and especially if you're traveling with family), the WiFi setup is never just "connect once and move on." It's the phone, the laptop, the tablet, the other laptop, and then you're playing tech support before you've even unpacked. In this video, I walk through how I'm using the UniFi Travel Router (UTR) as a portable extension of my home UniFi network - wi... ## Building Enterprise-Style UniFi Observability with Unpoller, Prometheus, and Grafana DevFeed: [Building Enterprise-Style UniFi Observability with Unpoller, Prometheus, and Grafana]() Original publisher: [Read original article]() Author: Techno Tim Published: 2025-12-21T13:00:00Z Content type: tutorial Language: en Sources: [Techno Tim]() Topics: [observability](), [Grafana](), [Prometheus](), [Homelab](), [Network](), [dashboards](), [Docker Compose](), [API]() Tags: [api](), [compose](), [dashboards](), [docker](), [github](), [grafana](), [homelab](), [metrics](), [network](), [observability](), [prometheus](), [services](), [unifi]() ### AI overview This tutorial shows how to build a UniFi observability stack for a homelab using Unpoller, Prometheus, and Grafana. It explains how metrics flow from UniFi devices through Unpoller into Prometheus for long-term storage and Grafana for visualization, with deployment handled by Docker Compose. ### Source excerpt If you run a UniFi network in a homelab or small environment, there's a point where basic status pages stop being enough. You want to understand how your network behaves over time - what normal looks like, what's changing, and how those changes correlate with real issues. This post walks through building an enterprise-style observability stack for UniFi using Unpoller, Prometheus, and Grafana,... ## Optimizing ZFS for Media, Apps, Databases, and Special VDEVs on TrueNAS SCALE DevFeed: [Optimizing ZFS for Media, Apps, Databases, and Special VDEVs on TrueNAS SCALE]() Original publisher: [Read original article]() Author: Techno Tim Published: 2025-11-29T13:00:00Z Content type: tutorial Language: en Sources: [Techno Tim]() Topics: [truenas](), [Latency](), [Databases](), [Hardware](), [Docker]() Tags: [databases](), [docker](), [hardware](), [home-assistant](), [homelab](), [jellyfin](), [latency](), [postgres](), [storage](), [truenas]() ### AI overview A practical account of tuning a TrueNAS SCALE ZFS pool for mixed workloads, including media, Docker containers, databases, and configuration files. It discusses ARC, L2ARC, special VDEVs, recordsize, and workload-specific dataset settings. ### Source excerpt Over the last few weeks I completely re-tuned my TrueNAS SCALE ZFS layout for maximum performance around ARC, L2ARC, special VDEVs, recordsize, and how each dataset interacts with them. I've been chasing this idea of having one large hybrid pool with lots of spinning disks backed by fast low latency storage for specific datasets and data access patterns within the pool. My pool contains large ... ## OCI Containers Come to Proxmox 9.1 - A First Look DevFeed: [OCI Containers Come to Proxmox 9.1 - A First Look]() Original publisher: [Read original article]() Author: Techno Tim Published: 2025-11-20T13:00:00Z Content type: article Language: en Sources: [Techno Tim]() Topics: [Proxmox](), [container images](), [Containers](), [hosting]() Tags: [container-images](), [containers](), [homelab](), [hosting](), [preview](), [proxmox](), [virtual-machines]() ### AI overview Proxmox 9.1 adds tech-preview support for OCI container images. The article explains how Proxmox pulls images from registries, stores them as templates, and runs them inside LXC wrappers with LXC-based networking and resource allocation. A Grafana image is shown launching successfully in this setup. ### Source excerpt Proxmox 9.1 introduces support for OCI container images, bringing Docker-style workloads into the Proxmox ecosystem for the first time. It's still a tech preview, but it's a promising step toward more flexible application hosting inside Proxmox. Watch the video Why OCI Support Matters Until now, Proxmox has traditionally focused on virtual machines and LXC containers. Both are powerful, ... ## My Private Mini Kubernetes Cluster - Secured by Tailscale DevFeed: [My Private Mini Kubernetes Cluster - Secured by Tailscale]() Original publisher: [Read original article]() Author: Techno Tim Published: 2025-11-07T13:00:00Z Content type: tutorial Language: en Sources: [Techno Tim]() Topics: [Kubernetes](), [Virtual Private Network](), [5G](), [rancher](), [GitOps](), [Ubuntu](), [networking]() Tags: [5g](), [dark-mode](), [firewall](), [gitops](), [homelab](), [intel](), [kubernetes](), [latency](), [rancher](), [ssd](), [tailscale](), [ubuntu](), [unifi-cloud-gateway](), [vpn]() ### AI overview A tutorial documenting a private, three-node RKE2 Kubernetes cluster built on Beelink Mini PCs and connected securely through Tailscale over a 5G WAN. It covers UniFi networking, Ubuntu installation, PiKVM access, cluster bootstrapping, and Flux-based GitOps management. ### Source excerpt A compact Kubernetes cluster, completely private and connected over 5G - powered by Tailscale. 📺 Watch the video Why Build a Private Kubernetes Cluster? I wanted a way to run a full Kubernetes cluster that I could access securely from anywhere - no open ports, no complicated VPN setup, no public exposure. Tailscale made that possible by creating a secure network for exposing and connect... ## I Built a Local AI App with Docker Model Runner - Here's How DevFeed: [I Built a Local AI App with Docker Model Runner - Here's How]() Original publisher: [Read original article]() Author: Techno Tim Published: 2025-10-18T13:00:00Z Content type: tutorial Language: en Sources: [Techno Tim]() Topics: [Docker](), [Artificial Intelligence](), [Docker Compose](), [open webui](), [Next.js](), [API]() Tags: [ai](), [api](), [compose](), [containers](), [dev](), [docker](), [local](), [local-ai](), [next-js](), [open-webui](), [self-hosted]() ### AI overview A tutorial on using Docker Model Runner to run AI models locally and connect them to applications through Docker CLI, Docker Desktop, Docker Compose, and OpenAI-compatible endpoints. It demonstrates an Open WebUI setup and a Next.js chat app, with notes on GPU support and troubleshooting. ### Source excerpt Run powerful AI models locally with almost zero setup - and wire them into your apps using Docker tools you already know. 📺 Watch the video What Is Docker Model Runner? Docker Model Runner is a standardized way to run AI models with Docker. Instead of juggling Python versions, CUDA, and random system packages, you pull and run a model much like you'd pull and run an image. You can use it... ## How to Monitor a Plex Media Server with Prometheus, Grafana, and Exporters DevFeed: [How to Monitor a Plex Media Server with Prometheus, Grafana, and Exporters]() Original publisher: [Read original article]() Author: Techno Tim Published: 2025-09-22T13:00:00Z Content type: tutorial Language: en Sources: [Techno Tim]() Topics: [Prometheus](), [Grafana](), [Monitoring](), [Docker Compose](), [dashboards](), [Docker](), [gpu monitoring](), [GPU]() Tags: [container](), [dashboards](), [docker](), [gpu](), [gpu-monitoring](), [grafana](), [metrics](), [monitoring](), [plex](), [prometheus](), [self-hosted]() ### AI overview A tutorial for monitoring a Plex media server with Prometheus, Grafana, Docker Compose, and exporters. The stack covers system metrics, GPU usage, disk health, container statistics, and Plex activity, with preconfigured Grafana dashboards. ### Source excerpt Never have to wonder what's going on with your Plex server again. 📺 Watch Video Thanks to Plex for inviting me to Plex Pro Week 2025 and for sponsoring the video! Plex Monitoring Stack - Prometheus + Grafana This stack provides monitoring for a Plex media server using Prometheus, Grafana, and a set of exporters. It covers system metrics, GPU usage, disk health, container stats, and Plex a... ## Beelink ME Mini Tested as a Low-Power Proxmox LXC Server DevFeed: [Beelink ME Mini Tested as a Low-Power Proxmox LXC Server]() Original publisher: [Read original article]() Author: Techno Tim Published: 2025-08-09T13:00:00Z Content type: opinion Language: en Sources: [Techno Tim]() Topics: [Proxmox](), [virtualization](), [Server]() Tags: [intel](), [low-power](), [mini-pc](), [monitoring](), [nvme](), [proxmox](), [server](), [storage](), [virtualization]() ### AI overview The article evaluates the Beelink ME Mini as a low-power Proxmox LXC server rather than only a NAS. It covers the hardware, Proxmox installation, cooling, NVMe bandwidth, power use, and a ZFS performance test. ### Source excerpt Everyone thinks this is a NAS. I don't. It's a low power Proxmox LXC Server and it's awesome! 📺 Watch Video Intro The Beelink ME Mini has been generating attention as a small form factor NAS, and with its compact footprint and six NVMe slots, it's easy to see why. But after spending time with it, I think it has another role worth exploring: virtualization. While it's marketed for storage... ## Running Docker and Home Assistant on TrueNAS with Compose, macvlan, and Traefik DevFeed: [Running Docker and Home Assistant on TrueNAS with Compose, macvlan, and Traefik]() Original publisher: [Read original article]() Author: Techno Tim Published: 2025-07-14T13:00:00Z Content type: tutorial Language: en Sources: [Techno Tim]() Topics: [Docker](), [truenas](), [Docker Compose](), [YAML](), [Home Assistant](), [traefik](), [Self-hosted](), [Networks]() Tags: [compose](), [containers](), [docker](), [home-assistant](), [homelab](), [how-to](), [networks](), [self-hosted](), [self-hosting](), [traefik](), [truenas](), [yaml]() ### AI overview A tutorial for running Docker applications on TrueNAS using YAML and Docker Compose. It covers creating datasets, optionally managing services through Code Server, and configuring Home Assistant with macvlan networking and Traefik for device discovery and reverse-proxy access. ### Source excerpt Learn how to run Docker apps on TrueNAS like a pro -- with full control, clean YAML, and no extra dashboards. Have questions or a different setup that works for you? Leave a comment, I'd love to hear how others are running Docker on TrueNAS. 📺 Watch Video Starting with TrueNAS 25.10, you will need to add a services key to your custom yaml for new stacks and when updating your existing s... ## Self-Host Your Own Automation Platform with n8n + Docker DevFeed: [Self-Host Your Own Automation Platform with n8n + Docker]() Original publisher: [Read original article]() Author: Techno Tim Published: 2025-07-11T13:00:00Z Content type: tutorial Language: en Sources: [Techno Tim]() Topics: [n8n](), [Self-hosted](), [Docker](), [Docker Compose](), [.env](), [workflow automation](), [Linux]() Tags: [compose](), [discord](), [docker](), [environment-variables](), [google](), [linux](), [n8n](), [self-hosted](), [tutorial](), [workflow-automation]() ### AI overview A tutorial showing how to self-host n8n on Linux with Docker and Docker Compose. It covers environment configuration with a .env file, persistent volumes, optional Traefik integration, startup verification, and building workflows that connect to external services such as Google Sheets and Discord. ### Source excerpt n8n is a powerful self-hosted workflow automation tool. In this tutorial, I'll show you how to self-host n8n on Linux using Docker. You'll learn how to set up the environment, configure it with a .env file, and build workflows that connect to services like Google Sheets and Discord. We'll start with a simple manual trigger, then create a scheduled workflow, and move on to a more advanced auto... ## Take Control of Your Photos - Self-Host Immich on Your Server DevFeed: [Take Control of Your Photos - Self-Host Immich on Your Server]() Original publisher: [Read original article]() Author: Techno Tim Published: 2025-06-15T13:00:00Z Content type: tutorial Language: en Sources: [Techno Tim]() Topics: [Docker](), [Self-hosted](), [Homelab](), [GPU](), [Open Source](), [Hardware]() Tags: [docker](), [gpu](), [home-server](), [how-to](), [install](), [nas](), [self-hosted](), [storage](), [vendor-lock-in]() ### AI overview A video tutorial explains how to install Immich, an open-source photo and video platform, on a home server using Docker. It covers NVIDIA GPU acceleration, mounting external NAS or network storage, configuring credentials and permissions, and starting the Immich stack. ### Source excerpt Protect your personal photos and videos by hosting them yourself. In this video, you'll learn how to install Immich, an open-source photo and video platform, on your own home server using Docker. Take control of your data with a fast, modern interface, GPU-accelerated features, and the ability to use your own NAS or network storage. 📺 Watch Video Info To to learn more about immich, check o... ## Buy Once, Cry Once: How I Wasted $2,857 on Switches DevFeed: [Buy Once, Cry Once: How I Wasted $2,857 on Switches]() Original publisher: [Read original article]() Author: Techno Tim Published: 2025-06-06T13:00:00Z Content type: opinion Language: en Sources: [Techno Tim]() Topics: [networking](), [Hardware]() Tags: [hardware](), [homelab](), [networking]() ### AI overview The author describes replacing four networking switches while trying to save money, spending $2,857 in total before purchasing a $2,742 switch they believe they should have bought first. The article reflects on the cost of repeatedly solving the same problem and notes that it was not sponsored. ### Source excerpt I bought and replaced 4 switches trying to save money... Then I finally spent $2,742 on the one I should've bought in the first place. 📺 Watch Video Info This isn't sponsored -- I paid for the switch myself along with all of the others included in the total. And it's not really about networking. It's about the cost of solving the same problem over and over again. Buy once, cry once. 📦 Produ... [Next page]()