Configuration matérielle requise pour Kolibri : RAM, processeur, stockage et apprentissage hors ligne et chaînes

Planifiez la RAM, le processeur, le stockage persistant et les dépendances des services de Kolibri, avec un dimensionnement de ZimaOS selon la charge de travail, des sauvegardes et des choix de matériel pratiques.

Configuration matérielle requise pour Kolibri : RAM, processeur, stockage et apprentissage hors ligne et chaînes

Kolibri hardware requirements at a glance

Kolibri hosts learning content and learner progress. Channel size, simultaneous playback and the local network drive practical sizing.

RAM
1 GB recommended on Linux; 2 GB or more on Windows in upstream server guidance.
CPU
Upstream recommends an approximately 1 GHz Intel-class CPU; test actual concurrent playback.
Storage
Determined by imported content channels and learner data; no fixed channel-capacity figure applies.
Required services
The maintained Kolibri server runtime and channel-import process; client video decoding is a client-side requirement.
Main sizing variable
Channel imports, simultaneous video delivery and learner-progress writes.
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 Kolibri workload before selecting a server.

  1. Official requirements

    Choose the exact edition, stable release and supported container/runtime. The maintained Kolibri server runtime and channel-import process; client video decoding is a client-side requirement.

  2. Confirm your needs

    Test a representative busy operation: Channel imports, simultaneous video delivery and learner-progress writes. 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. Kolibri data directory, learner database, imported content channels and backups. 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. A server that stores lessons does not make old clients decode every video format; test playback on actual classroom devices.

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 Kolibri official requirements

Use the requirements and scope above as a starting point, then validate Kolibri 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 guidance1 GB recommended on Linux; 2 GB or more on Windows in upstream server guidance.Official guidance keeps its original test, recommendation or example scope.
CPU guidanceUpstream recommends an approximately 1 GHz Intel-class CPU; test actual concurrent playback.Core counts do not predict a fixed user, device or document capacity.
Storage planningDetermined by imported content channels and learner data; no fixed channel-capacity figure applies.Installation space is separate from retained content, working files and backups.
Service topologyThe maintained Kolibri server runtime and channel-import process; client video decoding is a client-side requirement.Include every stateful companion service in the host budget.
Persistent stateKolibri data directory, learner database, imported content channels and backups.An image rebuild or container replacement is not a backup.
Deployment boundaryA server that stores lessons does not make old clients decode every video format; test playback on actual classroom devices.Check the linked project instructions for the selected edition and release.

When to upgrade your hardware

Use observed Kolibri 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 imports, simultaneous video delivery and learner-progress writes. 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.

Kolibri data directory, learner database, imported content channels and backups. 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 ZimaBoard 2 1664 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

A server that stores lessons does not make old clients decode every video format; test playback on actual classroom devices.

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 Kolibri in ZimaOS

The maintained Kolibri server runtime and channel-import process; client video decoding is a client-side requirement. Persist: Kolibri data directory, learner database, imported content channels and backups.

Custom install Kolibri in the ZimaOS app ↗

Check workload-specific deployment details

A server that stores lessons does not make old clients decode every video format; test playback on actual classroom devices.

Review Kolibri deployment details ↗

Which Zima hardware fits Kolibri?

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

Which workload best matches your Kolibri deployment?

Modest Kolibri 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 optionZimaBoard 2 1664

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 Kolibri workload Channel imports, simultaneous video delivery and learner-progress writes.
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
ZimaBoard 2 1664 More processing or shared-service headroom The maintained Kolibri server runtime and channel-import process; client video decoding is a client-side requirement.
CPU
Intel N150, 4 cores, up to 3.6 GHz
Memory
16 GB LPDDR5
Storage
64 GB eMMC; add SATA/PCIe SSD storage for persistent application data
Network
Dual 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.”
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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.”
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TechRadar Pro
“ZimaCube 2: A modern, high-performance NAS with plenty of room to grow—built for users who want more than basic storage.”
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FOX 8
“Coverage focused on ZimaCube 2's open hardware foundation, no monthly fee, and self-hosting flexibility.”
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Stories and reviews from people who build with Zima every day.

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Frequently asked questions

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

How much RAM should I plan for Kolibri?

1 GB recommended on Linux; 2 GB or more on Windows in upstream server guidance. Include ZimaOS, the application and its companion services rather than reserving the entire machine for one container.

What drives the CPU requirement?

Upstream recommends an approximately 1 GHz Intel-class CPU; test actual concurrent playback. The workload to test is: Channel imports, simultaneous video delivery and learner-progress writes.

Which data must survive a container update?

Kolibri data directory, learner database, imported content channels and backups. 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 Kolibri server runtime and channel-import process; client video decoding is a client-side requirement.

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?

A server that stores lessons does not make old clients decode every video format; test playback on actual classroom devices. 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 ZimaBoard 2 1664 for measured memory/processing pressure or broader shared services; retained data determines storage expansion.

What sources informed this Kolibri 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. Kolibri official setup / requirements
  2. Kolibri configuration / deployment
  3. Kolibri official repository and releases
  4. ZimaBoard 2 specifications
  5. Kolibri image source: public project or official store material