Separate 1080p/4K or genre-specific instances create separate databases, scheduled tasks and library scans. If refresh/search activity produces sustained CPU or memory pressure, a stronger host or more RAM can improve responsiveness.
For users running two or more Radarr instances or very large movie collections.Radarr 하드웨어 요구 사항: CPU, RAM, 저장 공간 및 영화 라이브러리
Radarr의 CPU, RAM, 저장 공간, SQLite, Docker, 영화 라이브러리, 다중 인스턴스 및 ZimaOS 하드웨어 요구 사항을 알아보세요.
Radarr hardware requirements at a glance
Radarr is a movie collection manager and automation layer, not the BitTorrent/Usenet downloader and not the media transcoder. The current upstream project does not publish one universal CPU, RAM or disk-capacity minimum.
- CPU
- Radarr publishes no universal minimum CPU model or core count. A modern low-power x86 CPU is ample for normal RSS monitoring, searches, imports, renaming and library maintenance; CPU use rises during large refreshes, scans and multiple-instance workloads.
- RAM
- There is no current official universal RAM minimum. OneUptime's 2026 Ubuntu guide uses at least 2 GB RAM and recommends 4 GB for a combined Sonarr/Radarr host. Industrial Monitor Direct uses 4 GB minimum and 8–16 GB recommended for an entire multi-service media stack, not Radarr alone.
- Storage
- Radarr's app/config data is small compared with a movie library. Keep its database/config on local storage, preferably SSD, while bulk HDD/NAS capacity should be sized from movie count, quality profiles, upgrades and retention.
- Database
- Radarr stores application data in SQLite by default and also supports PostgreSQL. Servarr documentation warns that the *Arr AppData folder and SQLite database must be on local storage rather than a network drive.
- GPU
- Radarr itself does not require a GPU because it does not transcode or play movies. GPU/iGPU requirements belong to Plex, Jellyfin, Emby or another media server.
- Best Zima starting point
- ZimaBoard 2 832 is already more than sufficient for Radarr itself and a modest *arr stack. Add SSD/HDD storage for config, downloads and movies. Choose 1664 or ZimaCube 2 when multi-instance automation, the downloader, media server or storage pool—not Radarr alone—needs more resources.
From official requirements to the right setup
Radarr sizing starts by separating movie automation from downloading and transcoding, then checks instance count, database placement, download paths and movie-library growth.
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Official requirements
Identify Radarr's role correctly: it monitors releases, communicates with indexers and download clients, then imports, sorts and renames completed movies. Do not size the host as if Radarr itself performs torrent/Usenet downloading or video transcoding.
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Confirm your needs
Decide whether one or multiple Radarr instances are required. Upstream Radarr notes that keeping both 4K and 1080p versions of the same movie requires multiple instances, which multiplies application databases, scans and container overhead.
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Leave room to grow
Keep /config and the SQLite database on local persistent storage. Bulk movie storage can live on large local HDD pools, but the Servarr FAQ warns against placing SQLite AppData on network drives.
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Run it on ZimaOS
Test movie refreshes, searches and completed-download imports while monitoring Radarr RAM, CPU and disk I/O. Monitor qBittorrent/SABnzbd and Plex/Jellyfin separately so their load is not incorrectly attributed to Radarr.
Check every playback client
- Single Radarr instance versus separate 1080p/4K instances
- Number of monitored movies and library size
- SQLite versus PostgreSQL database choice
- Local SSD path for Radarr config/database
- qBittorrent, SABnzbd or other download-client workload
- Plex, Jellyfin or Emby transcoding workload
- Movie quality targets, file sizes and retention strategy
- Other ZimaOS *arr, media and Docker services
Official minimum requirements
The current Radarr website, GitHub project and Servarr documentation do not publish a fixed minimum CPU, RAM or movie-storage capacity table. Hardware requirements are workload-dependent.
Do not present 2 GB or 4 GB RAM as an official Radarr minimum. Those numbers come from third-party combined-stack guides. For ZimaOS, use a modern x86 host, local SSD-backed application data and size total resources from instance count, download clients, media services and the movie library.
| Requirement | Official minimum | What this supports |
|---|---|---|
| CPU minimum | No universal official minimum published | The current Radarr project does not define a required processor model or core count. |
| RAM minimum | No universal official minimum published | Current upstream Radarr does not publish a fixed system-memory floor. Third-party 2-GB and 4-GB values are deployment examples. |
| Disk minimum | No universal official capacity published | Application data is small relative to movie payloads. Capacity planning is dominated by the movie library, downloads and backups. |
| Default web port | 7878 | Radarr's current API/default web endpoint uses port 7878; current ZimaOS and third-party Docker guides use the same port. |
| Multiple versions of one movie | Multiple Radarr instances required for simultaneous 4K and 1080p copies | The official repository states that only one type of a given movie is supported per instance; multiple quality variants require multiple instances. |
| Database storage | Keep SQLite AppData on local storage | Servarr warns that SQLite and network drives do not work reliably together and can eventually produce a malformed database. |
When to upgrade your hardware
Upgrade Radarr hardware when measured load shows that instance count, library operations or the complete media stack is reaching the current system's limits.
Multiple Radarr instances and large libraries increase background work
The full *arr/download/media stack approaches the RAM ceiling
Movie imports and downloads are limited by storage I/O
Radarr alone is light, but Prowlarr, Sonarr, qBittorrent/SABnzbd, Jellyfin/Plex and databases add up. Industrial Monitor Direct's 4-GB minimum and 8–16-GB recommendation apply to this kind of complete stack rather than Radarr by itself.
For all-in-one media servers with many always-on containers.Large movie files, concurrent downloads, unpacking, scans and playback can compete for disk bandwidth. Faster SSD workspace, better path layout or more drives often helps more than adding CPU to Radarr.
For high-speed downloaders, remux libraries and multi-drive media servers.Plan hardware growth with confidence
Radarr scales most cleanly when app/database storage, active downloads and the final movie library are treated as separate resource layers.
Keep Radarr config/database on local SSD
Servarr explicitly warns that the *Arr AppData directory using SQLite must stay on local storage. Local SSD also provides low-latency access for scheduled tasks and database writes.
Use SATA or NVMe SSD for ZimaOS app data and Radarr /config, even when the final movie library lives on larger HDDs.Use a shared filesystem layout for efficient imports
Radarr supports atomic moves and hardlink-friendly workflows when Docker paths and permissions are designed correctly. This avoids unnecessary copies and extra disk I/O for completed torrents.
Keep download and movie-library paths on compatible local filesystems when hardlinks/instant moves are part of the workflow.Separate active downloads from long-term movie storage
qBittorrent or Usenet unpacking can generate much heavier disk writes than Radarr. Fast SSD workspace plus large HDD storage keeps the automation pipeline responsive.
Use SSD/NVMe for active/incomplete downloads and SATA HDDs for the completed movie library when scale warrants tiered storage.Scale transcoding independently from Radarr
Plex/Jellyfin video playback and transcoding can require much more CPU or iGPU capability than Radarr. Radarr only manages movie acquisition and organization.
Choose media-server hardware from Plex/Jellyfin requirements rather than buying a GPU or larger CPU solely for Radarr.Can it run on ZimaOS?
Radarr is currently available in the ZimaOS App Store and ZimaSpace now also publishes a dedicated Radarr deployment guide. ZimaOS can host Radarr together with download clients and media storage on the same home server.
Install Radarr directly in ZimaOS
The current ZimaOS documentation instructs users to search for Radarr in the App Store, install it and open the web interface at the device IP on port 7878.
Deploy Radarr in ZimaOSMap config, downloads and movies as separate persistent paths
Current Docker guidance keeps Radarr /config, the movie library and the shared download folder as distinct mounts. This makes permissions, backups and hardlink-friendly layouts easier to manage.
Read ZimaOS Docker path guidanceKeep the Radarr database local
Use local Zima SSD/eMMC/attached storage for /config rather than a remote SMB/NFS database path when SQLite is used. Bulk movies can still live on the larger local storage pool.
Read the Radarr FAQChoose Zima hardware for your Radarr workload
Radarr itself is lightweight enough that ZimaBoard 2 832 is a strong fit. Hardware upgrades should follow movie-library capacity, multiple instances, download clients, Plex/Jellyfin and the number of other containers—not Radarr alone.
Is Radarr part of a compact movie-automation stack or a larger multi-drive media server?
Compact stack — one Radarr instance, downloader and light supporting apps
Start with ZimaBoard 2 832 and add SSD/HDD storage. Its Intel N150 and 8 GB RAM provide substantial headroom for Radarr and a modest automation stack. Choose 1664 for multiple instances or more co-hosted containers.
- Single-instance Radarr plus light download automationZimaBoard 2 832
- Multiple Radarr instances or larger Docker stackZimaBoard 2 1664
Large media server — multi-drive movies, downloads and Plex/Jellyfin
Choose ZimaCube 2 from the broader NAS workload. Standard suits storage-first movie libraries; Pro is more appropriate when heavier multitasking, high-speed networking or media-server workloads need additional headroom. Creator Pack adds no Radarr-specific benefit.
- Large multi-drive movie library and moderate servicesZimaCube 2 Standard
- Heavier all-in-one movie/media/NAS serverZimaCube 2 Pro
- Only when separate GPU/AI workloads also require itZimaCube 2 Creator Pack
This is a workload guide, not a guaranteed movie-count, scan-time or concurrent-download benchmark. Results depend on Radarr version, number of instances, library size, database placement, filesystem, download clients, media server and other ZimaOS services.
| Zima hardware | Best for | Example workload | Core configuration | Recommended boundary | Next step |
|---|---|---|---|---|---|
| ZimaBoard 2 832 | The best-value current Zima option for Radarr, a modest *arr stack and normal movie automation. | Radarr, Prowlarr, qBittorrent/SABnzbd, light automation and a small-to-medium movie library. |
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Do not use 32 GB eMMC as the only movie/download disk. Multiple Radarr instances, download clients and Plex/Jellyfin should be sized as combined workloads. | Get Now |
| ZimaBoard 2 1664 | A compact Radarr server with more memory for multiple instances and a larger media-automation stack. | Separate 1080p/4K Radarr instances, Sonarr/Prowlarr, download clients, reverse proxy and more always-on apps. |
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Do not claim Radarr requires 16 GB. Upgrade to 1664 when the complete automation stack needs the memory headroom. | Get Now |
| ZimaCube 2 Standard | A storage-first Radarr/media server with a large multi-drive movie library. | Radarr automation, downloads, large movie collections, backups and moderate media-server use. |
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Standard still has 8 GB RAM. ZimaBoard 2 1664 can provide more application-memory headroom if storage capacity is not the main requirement. | Get Now |
| ZimaCube 2 Pro | A larger all-in-one movie/media/NAS platform where Radarr shares the machine with many services and high-speed storage traffic. | Large movie library, multiple *arr instances, qBittorrent/Usenet, Plex/Jellyfin, backups and high-speed NAS access. |
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Do not attribute 10GbE or media-processing gains to Radarr itself. Pro is justified by the broader NAS/media workload. | Get Now |
| ZimaCube 2 Creator Pack | A Radarr-managed movie library on a server already purchased for independent GPU, AI or creator workloads. | Large media automation and storage plus separate local AI, creator or GPU applications. |
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Extreme overkill for Radarr alone. Never recommend Creator Pack because the user has many movies, multiple Radarr instances or 4K releases; those needs primarily affect storage and the media server. | Get Now |
What the Press Says
Highlights from trusted reviewers worldwide.
“ZimaCube 2: Not just another NAS, tested with 25TB storage, local AI agents, 4K transcoding, and real homelab workflows.”Read full review
“The ZimaBoard 2 is a compact x86 server board that can be turned into a mini NAS, home server, media box, or self-hosting hub.”Read full review
“ZimaCube 2: A modern, high-performance NAS with plenty of room to grow—built for users who want more than basic storage.”Read full review
“Coverage focused on ZimaCube 2's open hardware foundation, no monthly fee, and self-hosting flexibility.”Read full review
Loved by the Community
Stories and reviews from people who build with Zima every day.
★★★★★
Zima Blade Little yet Powerful
Maybe I am not digital natives but I live with PCs since 12 years old in 1984 when IBM PC clone come to my home. Many years have passed and many operating system I've tried. For me Zima blade and CasaOS was a quantum leap for home PC enthusiast and server lab machine to make me stay curious and relevant for this era.
★★★★★
Very good!!
I use ZimaCube Pro as 5th Proxmox cluster node. It runs several VMs and containers, including a VM with GPU passthrough to run a self-hosted LLM. A specific LXC container runs a Samba server for NAS capabilities using four of six RAID 6 SATA HDDs with ZFS.
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Great innovation for mini server!
It is very useful and makes a powerful mini server for many purposes, including university and college students in engineering and electronics. Thank you so much for making this server.
★★★★★
Avaliação ZimaBoard 2
Construí um servidor de uso pessoal. O desempenho está muito bom e funciona perfeitamente onde quer que eu esteja. A surpresa é não dependermos de grandes estruturas para termos nosso próprio servidor de dados. Como iniciante, estou gostando bastante do ZimaOS, pois ele é simples e eficiente.
Frequently asked questions
These answers separate Radarr's own lightweight application requirements from complete media-stack, multi-instance and storage requirements.
How much RAM does Radarr need?
Current Radarr does not publish one universal official RAM minimum. OneUptime's 2026 Ubuntu tutorial uses at least 2 GB RAM and recommends 4 GB for a combined Sonarr/Radarr machine, but that is third-party deployment guidance rather than an upstream Radarr requirement.
Is 4 GB RAM enough for Radarr?
For Radarr itself and a modest automation stack, 4 GB can be workable, but it is not an official minimum or recommendation. Industrial Monitor Direct uses 4 GB as the minimum for an entire five-service Docker stack—Prowlarr, Sonarr, Radarr, qBittorrent and Jellyfin—and recommends 8–16 GB for that broader NAS setup.
Can a low-power 4 GB laptop run Radarr?
The supplied 2019 rclone forum thread describes a 4-GB Pentium 4405U laptop intended to run Sonarr, Radarr, Jackett and a torrent client, with respondents suggesting Linux for that automation role while keeping Plex on a stronger machine. This is anecdotal evidence, not a current Radarr benchmark.
Does Radarr need a GPU for 4K movies?
No. Radarr manages release selection and movie files; it does not transcode them. If Plex, Jellyfin or Emby must transcode 4K video, size GPU/iGPU capability from that media-server workload.
Do I need two Radarr instances for 1080p and 4K copies of the same movie?
Yes if you want both versions managed simultaneously. The official Radarr repository states that only one type of a given movie is supported per instance and that keeping both a 4K and 1080p version requires multiple instances.
Can Radarr's SQLite database live on SMB, NFS or a cloud mount?
Avoid this. Servarr documentation says the *Arr AppData folder using SQLite must be on local storage because SQLite and network drives can eventually produce a malformed database. Keep /config local even when movie media is stored elsewhere.
What does the DIY Media Server guide contribute to Radarr sizing?
Its 2026 Docker guide does not publish numeric CPU/RAM minima. It is useful for architecture: port 7878, persistent /config, separate /movies and /downloads mounts, and a shared download path between Radarr and the download client. Those storage/path decisions often matter more than Radarr's own compute needs.
When should I choose ZimaCube 2 instead of ZimaBoard 2 for Radarr?
Choose ZimaBoard 2 for a compact Radarr/*arr/download stack. Choose ZimaCube 2 when the overall movie server needs six drive bays, a much larger local library, heavier Plex/Jellyfin use, more instances or high-speed NAS access. Radarr alone does not justify the larger system.
What sources and further reading informed this Radarr hardware guide?
Industrial Monitor Direct's July 2026 article specifies 4 GB minimum and 8–16 GB recommended for a complete dual-bay NAS stack containing Prowlarr, Sonarr, Radarr, qBittorrent and Jellyfin; its 2×4 TB minimum and movie-size examples are stack/storage examples, not Radarr requirements. OneUptime's January 2026 Ubuntu guide specifies at least 2 GB RAM and 4 GB recommended for a combined Sonarr/Radarr host, not Radarr alone. The 2019 rclone forum thread describes a 4-GB Pentium laptop planned for Sonarr/Radarr/Jackett/torrent duties and is anecdotal community evidence. DIY Media Server's updated 2026 Docker guide provides no numeric hardware minimum but documents port 7878 and separate persistent /config, /movies and /downloads mounts. None of these third-party figures overrides the current Radarr project, which publishes no universal CPU/RAM/disk minimum.
