map interactions, route requests, imports, user activity and provider response times. Time the job and identify CPU, storage or external-service waits before replacing hardware.
Imports, processing and simultaneous users.Hårdvarukrav för TileServer GL: RAM, CPU, lagring och resdata och externa tjänster
Planera RAM, CPU, beständig lagring och tjänsteberoenden för TileServer GL, med storleksanpassning av ZimaOS utifrån arbetsbelastning, säkerhetskopior och praktiska hårdvaruval.
TileServer GL hardware requirements at a glance
TileServer GL supports map tile delivery, style resources and optional server-side rendering. Size the complete deployment around map interactions, route requests, imports, user activity and provider response times. Serving vector tiles and rendering raster tiles are different workloads. Verify the documented GL/headless rendering prerequisites and selected style/data resources; an amd64 container alone does not prove graphics/runtime compatibility.
- RAM
- No fixed numerical whole-host figure is inferred here; follow the selected release and deployment requirements. Size the full stack during the busy operation described below.
- CPU
- No fixed numerical whole-host figure is inferred here; follow the selected release and deployment requirements. Measure CPU use during realistic activity.
- Storage
- Persist trip records, saved places, route/planning data and configured uploaded assets as used by the selected deployment.
- Required services
- Use the service topology in the linked primary deployment source for your selected edition and release; include all required persistence, worker and runtime services.
- Main sizing variable
- map interactions, route requests, imports, user activity and provider response times.
- 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 TileServer GL workload before selecting a server.
-
Official requirements
Choose the exact edition, stable release and supported container/runtime. Use the service topology in the linked primary deployment source for your selected edition and release; include all required persistence, worker and runtime services.
-
Confirm your needs
Test a representative busy operation: map interactions, route requests, imports, user activity and provider response times. Record peak resident memory, CPU, disk latency and completion time, including other containers.
-
Leave room to grow
Place active state on reliable persistent storage. Persist trip records, saved places, route/planning data and configured uploaded assets as used by the selected deployment. Budget working space for an upgrade or import and test recovery before relying on the deployment.
-
Run it on ZimaOS
On ZimaOS, use a compatible amd64 container through Custom Install and reproduce all required services, volume mappings and device access. Serving vector tiles and rendering raster tiles are different workloads. Verify the documented GL/headless rendering prerequisites and selected style/data resources; an amd64 container alone does not prove graphics/runtime compatibility.
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 November 2, 2026 against the linked upstream deployment documentation. Numerical values retain their stated minimum, recommendation or example scope; select release-compatible instructions before installation.
Serving vector tiles and rendering raster tiles are different workloads. Verify the documented GL/headless rendering prerequisites and selected style/data resources; an amd64 container alone does not prove graphics/runtime compatibility. Numerical examples above retain their stated deployment scope; co-hosted services and independent backups need additional capacity.
| Requirement | Official minimum | What this supports |
|---|---|---|
| RAM guidance | No fixed numerical whole-host figure is inferred here; follow the selected release and deployment requirements. Size the full stack during the busy operation described below. | Official guidance keeps its original test, recommendation or example scope. |
| CPU guidance | No fixed numerical whole-host figure is inferred here; follow the selected release and deployment requirements. Measure CPU use during realistic activity. | Core counts do not predict a fixed user, device or document capacity. |
| Storage planning | Persist trip records, saved places, route/planning data and configured uploaded assets as used by the selected deployment. | Installation space is separate from retained content, working files and backups. |
| Service topology | Use the service topology in the linked primary deployment source for your selected edition and release; include all required persistence, worker and runtime services. | Include every stateful companion service in the host budget. |
| Persistent state | Persist trip records, saved places, route/planning data and configured uploaded assets as used by the selected deployment. | An image rebuild or container replacement is not a backup. |
| Deployment boundary | Serving vector tiles and rendering raster tiles are different workloads. Verify the documented GL/headless rendering prerequisites and selected style/data resources; an amd64 container alone does not prove graphics/runtime compatibility. | Check the linked project instructions for the selected edition and release. |
When to upgrade your hardware
Use observed TileServer GL 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
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.Persist trip records, saved places, route/planning data and configured uploaded assets as used by the selected deployment. 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
Serving vector tiles and rendering raster tiles are different workloads. Verify the documented GL/headless rendering prerequisites and selected style/data resources; an amd64 container alone does not prove graphics/runtime compatibility.
Check service configuration, I/O and network behavior before selecting a stronger CPU.Can it run on ZimaOS?
Serving vector tiles and rendering raster tiles are different workloads. Verify the documented GL/headless rendering prerequisites and selected style/data resources; an amd64 container alone does not prove graphics/runtime compatibility.
Verify the supported TileServer GL deployment first
Serving vector tiles and rendering raster tiles are different workloads. Verify the documented GL/headless rendering prerequisites and selected style/data resources; an amd64 container alone does not prove graphics/runtime compatibility.
Review supported upstream deployment ↗Use the official TileServer GL deployment instructions
Keep the selected stable release, persistent paths and companion services aligned with upstream documentation.
Review TileServer GL official installation ↗Check workload-specific deployment details
Serving vector tiles and rendering raster tiles are different workloads. Verify the documented GL/headless rendering prerequisites and selected style/data resources; an amd64 container alone does not prove graphics/runtime compatibility.
Review TileServer GL deployment details ↗Which Zima hardware fits TileServer GL?
Start with the lowest reasonable host for the actual workload. Product specifications were checked against the current product pages.
Which workload best matches your TileServer GL deployment?
Modest TileServer GL 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 TileServer GL workload | map interactions, route requests, imports, user activity and provider response times. |
|
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 | Use the service topology in the linked primary deployment source for your selected edition and release; include all required persistence, worker and runtime services. |
|
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.
“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.
★★★★★
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
Answers to TileServer GL RAM, CPU, storage, Docker, database and ZimaOS sizing questions.
How much RAM should I plan for TileServer GL?
No fixed numerical whole-host figure is inferred here; follow the selected release and deployment requirements. 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 fixed numerical whole-host figure is inferred here; follow the selected release and deployment requirements. Measure CPU use during realistic activity. The workload to test is: map interactions, route requests, imports, user activity and provider response times.
Which data must survive a container update?
Persist trip records, saved places, route/planning data and configured uploaded assets as used by the selected deployment. Preserve a consistent database/file set and verify that your recovery procedure restores a working application.
What other services belong in the budget?
Use the service topology in the linked primary deployment source for your selected edition and release; include all required persistence, worker and runtime services.
Does this workload need a dedicated GPU?
Accelerator needs depend on the selected inference, synthesis, browser or media backend. Serving vector tiles and rendering raster tiles are different workloads. Verify the documented GL/headless rendering prerequisites and selected style/data resources; an amd64 container alone does not prove graphics/runtime compatibility.
Can I deploy it on ZimaOS?
Serving vector tiles and rendering raster tiles are different workloads. Verify the documented GL/headless rendering prerequisites and selected style/data resources; an amd64 container alone does not prove graphics/runtime compatibility. Do not assume a generic ZimaOS custom-container install meets these prerequisites.
What should I check before upgrading hardware?
Serving vector tiles and rendering raster tiles are different workloads. Verify the documented GL/headless rendering prerequisites and selected style/data resources; an amd64 container alone does not prove graphics/runtime compatibility. Measure the same representative operation before and after a configuration or hardware change.
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 TileServer GL hardware guide?
This guide was reviewed against the linked project deployment documentation on November 2, 2026. Zima device choices are editorial workload guidance, separate from upstream requirements and measured performance.
