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Explore 10 practical self-hosted apps, including Immich, Jellyfin, Vaultwarden, Nextcloud, Home Assistant, Stirling-PDF, and AdGuard Home.

A practical Jellyfin buffering guide covering Direct Play, transcoding, GPU acceleration, subtitles, Docker, network limits, storage, and FFmpeg logs.

Most NAS apps do not make a NAS faster by themselves. They improve the system only when they remove a real bottleneck: slow local transfers, unreliable backups, messy media libraries, weak remote access, poor app isolation,...

This guide explains how to verify whether a local LLM is using the correct model files and storage path. It covers runtime model lists, Docker host-to-container mounts, model metadata, GGUF and quantization checks, logs, active model...

This guide explains how to confirm whether hardware transcoding is actually working in Plex, Jellyfin, Emby, or Docker-based media servers. It covers forced transcode testing, dashboard signals, host GPU / iGPU activity, FFmpeg log paths, partial...

This guide explains how to safely deploy a local LLM on a shared home NAS or home server. It covers model storage paths, Docker volume mapping, memory and CPU limits, parallel requests, model choice, app isolation,...

This guide explains the local AI limits of a home NAS by workload type, hardware resources, and real-world impact. It covers OCR, media analysis, RAG, small LLMs, GPU / NPU acceleration, RAM / VRAM limits, warning...

This guide explains whether a home NAS can run local AI without a dedicated GPU. It covers CPU inference, RAM headroom, quantized models, Docker setups, AI search, offloading patterns, and how to test performance without disrupting...