Tunarrのハードウェア要件: RAM、CPU、ストレージ、スケジュール済みチャンネル、メディアパス

ワークロードに基づくZimaOSのサイジング、バックアップ、実用的なハードウェア選びで、TunarrのRAM、CPU、永続ストレージ、サービス依存関係を計画しましょう。

Tunarrのハードウェア要件: RAM、CPU、ストレージ、スケジュール済みチャンネル、メディアパス

Tunarr hardware requirements at a glance

Tunarr generates scheduled channels from existing libraries. Its media path and encoder choices determine resource demand.

RAM
No universal numerical whole-host baseline is specified in the reviewed deployment source. Size the full stack during the busy operation described below.
CPU
No universal numerical whole-host baseline is specified in the reviewed deployment source. Measure CPU use during realistic activity.
Storage
Application database/configuration, schedules and persistent cache or generated output data.
Required services
The maintained Tunarr runtime with configured media-server connections and FFmpeg where required.
Main sizing variable
Channel setup, source-library updates and concurrent encoding/delivery.
Practical Zima starting point
ZimaBoard 2 832 with SSD-backed active state is an editorial starting point for modest use. Include the OS and all companion services; it is not a measured capacity guarantee.

From official requirements to the right setup

Plan the complete Tunarr workload before selecting a server.

  1. Official requirements

    Choose the exact edition, stable release and supported container/runtime. The maintained Tunarr runtime with configured media-server connections and FFmpeg where required.

  2. Confirm your needs

    Test a representative busy operation: Channel setup, source-library updates and concurrent encoding/delivery. Record peak resident memory, CPU, disk latency and completion time, including other containers.

  3. Leave room to grow

    Place active state on reliable persistent storage. Application database/configuration, schedules and persistent cache or generated output data. Budget working space for an upgrade or import and test recovery before relying on the deployment.

  4. Run it on ZimaOS

    On ZimaOS, use a compatible amd64 container through Custom Install and reproduce all required services, volume mappings and device access. Check accessible source URLs and file paths before treating a failing channel as insufficient hardware.

Check every playback client

  • Exact edition and stable release
  • Compatible amd64 image/runtime
  • All required companion services
  • Realistic peak activity
  • Persistent data and file ownership
  • Free host ports and reachable URLs
  • Working space and backup retention
  • Successful database/file restore

Official minimum requirements

Reviewed October 30, 2026 against the linked upstream deployment documentation. Numerical values retain their stated minimum, recommendation or example scope; select release-compatible instructions before installation.

Review Tunarr official requirements

Use the requirements and scope above as a starting point, then validate Tunarr under its real workload. Application examples, build-time settings and per-container limits are not interchangeable with a whole-server minimum.

RequirementOfficial minimumWhat this supports
RAM guidanceNo universal numerical whole-host baseline is specified in the reviewed deployment source. Size the full stack during the busy operation described below.Official guidance keeps its original test, recommendation or example scope.
CPU guidanceNo universal numerical whole-host baseline is specified in the reviewed deployment source. Measure CPU use during realistic activity.Core counts do not predict a fixed user, device or document capacity.
Storage planningApplication database/configuration, schedules and persistent cache or generated output data.Installation space is separate from retained content, working files and backups.
Service topologyThe maintained Tunarr runtime with configured media-server connections and FFmpeg where required.Include every stateful companion service in the host budget.
Persistent stateApplication database/configuration, schedules and persistent cache or generated output data.An image rebuild or container replacement is not a backup.
Deployment boundaryCheck accessible source URLs and file paths before treating a failing channel as insufficient hardware.Check the linked project instructions for the selected edition and release.

When to upgrade your hardware

Use observed Tunarr workload pressure to decide when an upgrade is warranted.

Busy operations exceed the available window

The complete stack runs short of memory

Persistent data approaches available capacity

Channel setup, source-library updates and concurrent encoding/delivery. Time the job and identify CPU, storage or external-service waits before replacing hardware.

Imports, processing and simultaneous users.

Inspect the application and each required service for OOM events, sustained swap or growing queues. Reduce unnecessary concurrency before adding capacity.

Shared hosts and background work.

Application database/configuration, schedules and persistent cache or generated output data. Track primary state and backup retention separately.

Long-lived installations and growing collections.

Plan hardware growth with confidence

Address storage, memory, compute and deployment limits separately.

Use suitable active storage

Put latency-sensitive application/database state on durable local SSD storage and keep recoverable copies.

SATA or PCIe SSD according to measured data growth.

Add memory for the complete stack

Choose a higher-RAM host when peak application and companion-service usage leaves inadequate OS headroom.

ZimaBoard 2 832 or ZimaCube 2 Pro according to the measured constraint.

Separate capacity from compute

A multi-drive system helps when retained content and backup storage are the problem; it is not automatically a faster application.

ZimaCube 2 when a broader multi-drive workload justifies it.

Fix the observed bottleneck

Check accessible source URLs and file paths before treating a failing channel as insufficient hardware.

Check service configuration, I/O and network behavior before selecting a stronger CPU.

Can it run on ZimaOS?

A matching current entry was not found in the reviewed official ZimaOS store source. Treat this as a Custom Install candidate and verify the selected upstream image, required services and host access.

Custom install Tunarr in ZimaOS

The maintained Tunarr runtime with configured media-server connections and FFmpeg where required. Persist: Application database/configuration, schedules and persistent cache or generated output data.

Custom install Tunarr in the ZimaOS app ↗

Which Zima hardware fits Tunarr?

Start with the lowest reasonable host for the actual workload. Product specifications were checked against the current product pages.

Which workload best matches your Tunarr deployment?

Modest Tunarr deployment

Start with durable active data and a measured whole-stack memory budget.

  • Workload optionZimaBoard 2 832
Heavier jobs or more companion applications

Choose added memory or compute only when observed peaks justify the change.

  • Workload optionZimaCube 2 Pro

These are practical workload recommendations, not official app requirements, compatibility certification, measured capacity limits or performance guarantees. Include all co-hosted services and independent backups.

Zima hardware Best for Example workload Core configuration Recommended boundary Next step
ZimaBoard 2 832 Modest Tunarr workload Channel setup, source-library updates and concurrent encoding/delivery.
CPU
Intel N150, 4 cores, up to 3.6 GHz
Memory
8 GB LPDDR5
Storage
32 GB eMMC; add SATA/PCIe SSD storage for persistent application data
Network
Dual 2.5GbE
Acceleration
No dedicated GPU required for this workload.
This is an editorial host choice, not an official app minimum or a guaranteed user/device capacity. Get Now
ZimaCube 2 Pro More processing or shared-service headroom The maintained Tunarr runtime with configured media-server connections and FFmpeg where required.
CPU
Intel Core i5-1235U, 10 cores / 12 threads
Memory
16 GB
Storage
256 GB system storage; six HDD bays and SSD expansion
Network
10GbE plus 2.5GbE
Acceleration
No dedicated GPU required for this workload.
Size the combined stack and active working set; more RAM does not fix remote API limits or missing dependencies. Get Now

What the Press Says

Highlights from trusted reviewers worldwide.

La Razón
“ZimaCube 2: Not just another NAS, tested with 25TB storage, local AI agents, 4K transcoding, and real homelab workflows.”
Read full review
GameRevolution
“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
TechRadar Pro
“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
FOX 8
“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.

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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

Answers to Tunarr RAM, CPU, storage, Docker, database and ZimaOS sizing questions.

How much RAM should I plan for Tunarr?

No universal numerical whole-host baseline is specified in the reviewed deployment source. Size the full stack during the busy operation described below. Include ZimaOS, the application and its companion services rather than reserving the entire machine for one container.

What drives the CPU requirement?

No universal numerical whole-host baseline is specified in the reviewed deployment source. Measure CPU use during realistic activity. The workload to test is: Channel setup, source-library updates and concurrent encoding/delivery.

Which data must survive a container update?

Application database/configuration, schedules and persistent cache or generated output data. Preserve a consistent database/file set and verify that your recovery procedure restores a working application.

What other services belong in the budget?

The maintained Tunarr runtime with configured media-server connections and FFmpeg where required.

Does this workload need a dedicated GPU?

A dedicated GPU is not assumed for the core workflow described here. Optional AI, acceleration or media-processing integrations must be evaluated separately against the selected backend.

Can I deploy it on ZimaOS?

Use an amd64 container and the current upstream service topology through Custom Install when a suitable maintained image is available. Container availability alone is not a compatibility certification.

What should I check before upgrading hardware?

Check accessible source URLs and file paths before treating a failing channel as insufficient hardware. Compare CPU saturation, memory pressure, disk latency and external-service waits during the same reproducible operation.

Which Zima device is a practical starting point?

ZimaBoard 2 832 is the editorial starting point for this modest deployment. Choose ZimaCube 2 Pro for measured memory/processing pressure or broader shared services; retained data determines storage expansion.

What sources informed this Tunarr hardware guide?

This guide was reviewed against the linked project deployment documentation on October 30, 2026. Zima device choices are editorial workload guidance, separate from upstream requirements and measured performance.

  1. Tunarr official setup / requirements
  2. Tunarr configuration / deployment
  3. Tunarr official repository and releases
  4. ZimaBoard 2 specifications
  5. Tunarr image source: public project or official store material