Configuration matérielle requise pour SparkView : RAM, CPU, stockage et simultanéité des sessions à distance
Planifiez le matériel SparkView pour la RAM, le CPU, la simultanéité des sessions distantes, les ports TLS, la configuration persistante et un déploiement pratique de ZimaOS.
SparkView hardware requirements at a glance
Size SparkView from verified upstream requirements first, then add headroom for the workload and persistent data.
- RAM
- No numerical official minimum published
- CPU
- No numerical official minimum published
- Storage
- Small for application data; preserve data, conf, keystore, and logs volumes
- Networking
- Ports 80/443 by default in the official Docker image
- Docker
- Official image: beyondssl/sparkview
- Best Zima starting point
- ZimaBoard 2 832 for a small gateway
From official requirements to the right setup
SparkView should be sized as a remote-access gateway: count simultaneous sessions, protocol/encryption work, network throughput, and log retention before increasing hardware.
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Official requirements
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Confirm your needs
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Leave room to grow
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Run it on ZimaOS
Check every playback client
- Concurrent sessions
- RDP/SSH/VNC protocol mix
- TLS termination
- 80/443 port ownership
- Log retention
- Persistent configuration
- Reverse proxy use
- Co-located services
Official minimum requirements
Official Docker documentation provides the deployment model and ports but no universal numerical host CPU/RAM minimum.
Do not invent a fixed RAM minimum. A small gateway can start on modest hardware, while many active sessions, TLS work, and other services can justify a faster CPU and more memory.
| Requirement | Official minimum | What this supports |
|---|---|---|
| No numerical official minimum published | Concurrency and encrypted remote sessions drive CPU demand. | |
| No numerical official minimum published | Size from concurrent sessions and runtime behavior. | |
| beyondssl/sparkview | Upstream documents Docker deployment. | |
| 80 and 443 | Check for conflicts on the ZimaOS host. | |
| data, conf, keystore, logs | Keep them outside ephemeral container storage. | |
| No GPU requirement published | Remote access gateway sizing is CPU/network oriented. |
When to upgrade your hardware
Session concurrency
TLS/web gateway load
Log/data growth
Plan hardware growth with confidence
SSD persistent volumes
Keep data, conf, keystore, and logs on reliable persistent SSD storage.
SSDRAM headroom
Add memory when many sessions or co-located containers compete for host memory.
More RAMLog storage
Allocate separate capacity if compliance or troubleshooting requires long log retention.
Larger persistent storageCPU/network throughput
More active remote sessions benefit from stronger CPU and faster network paths.
Higher-core CPU and faster EthernetCan it run on ZimaOS?
Custom install SparkView in ZimaOS
No specific public official ZimaOS one-click page was verified, so use the Custom Install route with the official Docker image.
Custom install SparkView in the ZimaOS app ↗Use the official SparkView Docker image
Upstream documents the beyondssl/sparkview image and persistent volumes.
Open SparkView Docker documentation ↗Resolve web-port conflicts
The official container defaults to ports 80 and 443, which may already be owned by another web service or reverse proxy.
Review SparkView container ports ↗Zima hardware for SparkView
A small remote-access gateway can run on modest hardware; concurrency and TLS/network load are the main upgrade reasons.
Choose by workload
Use a low-power host with persistent SSD storage and explicit port mapping.
CPU throughput and network capacity become the main sizing factors.
The official docs do not provide a universal numerical CPU/RAM minimum, so the Zima recommendation is workload-based rather than an upstream-certified tier.
| Zima hardware | Best for | Example workload | Core configuration | Recommended boundary | Next step |
|---|---|---|---|---|---|
| ZimaBoard 2 832 | Light self-hosted services and small persistent workloads | Single-app or small multi-app home-server deployments |
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8 GB RAM and N150 CPU limit heavy databases, large observability stacks, and compute-heavy jobs | Get Now |
| ZimaBoard 2 1664 | Apps that benefit from more memory while retaining a low-power 4-core CPU | Larger database cache, more containers, and moderate background services |
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The CPU is still the same 4-core N150; 16 GB RAM does not raise compute throughput | Get Now |
| ZimaCube 2 Pro | CPU-heavy, higher-concurrency, database-heavy, and consolidated workloads | More background workers, indexing, reports, or concurrent users |
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16 GB RAM can still be the limiting factor for software that needs substantially more memory | 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
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Stories and reviews from people who build with Zima every day.
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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
How much RAM does SparkView need?
Upstream Docker documentation does not publish a universal numerical host-RAM minimum.
How many CPU cores does SparkView need?
No numerical official CPU minimum is published; active session count and encryption load are the practical variables.
Does SparkView have an official Docker image?
Yes. The documentation uses beyondssl/sparkview.
Which ports does the Docker container use by default?
The documented defaults are ports 80 and 443.
Which data should be persistent?
The Docker documentation calls out data, conf, keystore, and logs volumes.
Can ZimaBoard 2 run SparkView?
Yes as a practical small-gateway starting point, assuming session concurrency is modest.
Does SparkView need a GPU?
No GPU requirement is published in the deployment documentation used for this page.
When should I choose ZimaCube 2 Pro?
Choose it when many simultaneous sessions, TLS work, or other co-located services make CPU throughput the bottleneck.
