ZimaOS App Store Hardware Requirements

Compare CPU, RAM, GPU/VRAM, storage and network requirements for apps available in the ZimaOS App Store before you install, migrate or scale them on a home server.

The ZimaOS App Store brings media, productivity, home automation, networking, AI, finance, social and developer apps into one installable catalog. An app listing tells you what you can run on ZimaOS; this companion directory focuses on the next question: how much hardware does each app actually need?

Browse 129 published ZimaOS App Store hardware guides below. Each guide separates upstream requirements from practical ZimaOS sizing and the workload signals that change CPU, RAM, GPU VRAM, storage or network needs. Compare Ollama hardware requirements for local AI, Plex hardware requirements for media transcoding, and MariaDB hardware requirements for database memory and storage I/O.

Media

36 apps

Media hardware can range from a lightweight music library to sustained video processing. Compare Plex or Jellyfin for streaming and transcoding, Navidrome for music-library sizing, and FileFlows when FFmpeg, hardware acceleration and fast temporary storage become the bottleneck.

Audiobookshelf Autobrr Bazarr Deluge Emby Embystat EmulatorJS FileFlows handbrake Immich Jackett JDownloader2 Jellyfin Jellyseerr Kavita Komga Lidarr Navidrome Nzbget Ombi Overseerr PhotoPrism Pinchflat Plex Prowlarr qBittorrent Radarr Readarr RetroArch RomM Sabnzbd Sonarr Stremio Tautulli Threadfin Transmission

Productivity

29 apps

Productivity apps range from lightweight feeds and authentication to browser-based archiving and large file-sync trees. Compare FreshRSS for feed/database refresh workloads, Linkwarden for browser preservation and search indexing, Resilio Sync when file count directly affects RAM, and ArchiveBox for Chrome-heavy web archiving and long-term storage.

2FAuth Alist ArchiveBox Blinko ConvertX CopyParty Docmost Duplicati Etherpad Excalidraw FileDrop FreshRSS Glances Karakeep Linkwarden Logseq Memos n8n Netdata Nextcloud Obsidian Pingvin-Share Resilio Sync SiYuan Note Syncthing Teable Trilium Vaultwarden Wallabag

Home

5 apps

Home-automation workloads can be very light until firmware compilation, camera decoding, or a larger automation stack is added. Compare Home Assistant for a general smart-home platform, ESPHome for firmware build workload, and motionEye when camera streams and motion detection drive CPU usage.

ESPHome Home Assistant Homebridge Motioneye OpenHAB

Networking

18 apps

Networking apps are often light at idle, but throughput, encryption, browser workers and monitoring scale can change the hardware requirement quickly. Compare AdGuard Home for DNS filters and cache, OpenSpeedTest for 2.5/10GbE test endpoints, Playit Agent for tunnel bandwidth and latency, and FlareSolverr when Chromium concurrency drives RAM.

AdGuard Home Cloudflared ddns-go DuckDNS Firefly FlareSolverr NetBird Nginx Proxy Manager OpenSpeedTest Pi-hole Playit Agent Smokeping Tailscale Twingate Unifi Network Application Uptime Kuma V2rayA WireGuard Easy

AI

22 apps

AI apps have the widest hardware spread in the catalog. AnythingLLM can remain modest when inference is remote, while Ollama scales with model memory, context and concurrency. GPU-specific workloads such as Index-TTS (Nvidia GPU) and TurboDiffusion (Nvidia GPU) require model- and VRAM-aware sizing rather than a generic AI-server minimum.

Anaconda3 AnythingLLM Chatbot UI ChatGPT Next Web DeepSeek OCR(Nvidia GPU) Dify Flowise Hermes Index-TTS Index-TTS(Nvidia GPU) LabelStudio Langflow LibreChat LLaMA Factory(Nvidia GPU) Ollama Open WebUI OpenClaw OpenHands RagFlow Stable Diffusion TurboDiffusion(Nvidia GPU) WeKnora

Finance

4 apps

Finance apps are generally modest in compute, but data durability and recovery matter as much as CPU or RAM. See Actual Budget for local-first sync, HTTPS, and backup requirements, or Alby Hub for an always-on Lightning deployment with persistent wallet/node state.

Actual Budget Alby Hub ✨ Maybe Sure

Social

3 apps

Self-hosted social and communication apps are usually sized by active users, message/media storage, database growth, and always-on availability. Compare Monica for a personal relationship manager or VoceChat for a real-time communication workload.

Databag Monica VoceChat

Developer

12 apps

Developer workloads range from lightweight database interfaces to JVM services, databases, CI pipelines and virtual machines. CloudBeaver adds Java heap and multi-user database sessions, MariaDB scales with memory and storage I/O, Jenkins CI/CD separates controller resources from build agents, and Virtual Machine Manager is ultimately sized by its guest VMs.

Adminer CloudBeaver Gitea Grafana Jenkins CI/CD MariaDB MongoDB Node-RED PocketBase Portainer PostgreSQL Virtual Machine Manager
ZimaOS App Store sizing guide

How to Choose Hardware for ZimaOS App Store Apps

App categories help you discover software, but hardware bottlenecks cut across categories. Compare the workload by CPU, RAM, GPU/VRAM and storage/network I/O before choosing a ZimaOS server.

RAM

RAM becomes the main limit when active database caches, RAG services, local model weights, or guest VMs need to remain resident. See MariaDB, RAGFlow, and Ollama.

GPU / VRAM

A dedicated GPU is unnecessary for most ZimaOS apps, but it can be decisive for local AI. Compare Ollama for model memory, Index-TTS (Nvidia GPU) for TTS inference, and TurboDiffusion for high-end video diffusion before choosing a GPU tier.

Storage & Network I/O

Capacity is only one part of I/O sizing. Database latency, archive growth, file-count metadata and network throughput can all become the limit. Compare Immich for library growth, Resilio Sync for file-count and transfer pressure, and OpenSpeedTest for network-path limits.

For lightweight and moderate multi-app setups, start by comparing the workload with ZimaBoard 2. If the main requirement is multi-drive storage, heavier concurrency, or a larger all-in-one server, compare ZimaCube 2. To discover software first, browse the official ZimaOS App Store; then return to this hardware directory when you need CPU, RAM, GPU/VRAM, storage or network sizing.