active workspaces, language servers, dependency installs, builds and test processes. Time the job and identify CPU, storage or external-service waits before replacing hardware.
Imports, processing and simultaneous users.Coderのハードウェア要件：RAM、CPU、ストレージ、ワークスペース、ビルドジョブ
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、Plan CoderのRAM、CPU、永続ストレージ、サービスの依存関係を計画しましょう。
Coder hardware requirements at a glance
Coder supports development workspace orchestration and separately provisioned compute. Size it around active workspaces, language servers, dependency installs, builds and test processes, including the complete service stack and durable data. An idle editor or control plane does not represent build consumption. Match each workspace image and runtime, and isolate heavy compilation or nested-container jobs when required.
- RAM
- The linked source does not establish a fixed numerical whole-host baseline for this complete workload. Size the full stack during the busy operation described below.
- CPU
- The linked source does not establish a fixed numerical whole-host baseline for this complete workload. Measure CPU use during realistic activity.
- Storage
- Persist workspace files, repositories, extensions, configuration, build caches and artifacts.
- Required services
- Follow the service topology in the linked upstream deployment for the chosen edition; include every required database, worker and storage service. The repository references PostgreSQL. These may be integrations or alternative backends; install only the services required by your selected topology.
- Main sizing variable
- active workspaces, language servers, dependency installs, builds and test processes.
- Practical Zima starting point
- ZimaBoard 2 1664 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 Coder workload before selecting a server.
-
Official requirements
Choose the exact edition, stable release and supported container/runtime. Follow the service topology in the linked upstream deployment for the chosen edition; include every required database, worker and storage service. The repository references PostgreSQL. These may be integrations or alternative backends; install only the services required by your selected topology.
-
Confirm your needs
Test a representative busy operation: active workspaces, language servers, dependency installs, builds and test processes. 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 workspace files, repositories, extensions, configuration, build caches and artifacts. 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. Coder orchestrates workspaces; its control-plane database and each provisioned workspace consume different resources. A small control plane does not establish enough RAM to compile inside all workspaces.
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.
Coder orchestrates workspaces; its control-plane database and each provisioned workspace consume different resources. A small control plane does not establish enough RAM to compile inside all workspaces. 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 | The linked source does not establish a fixed numerical whole-host baseline for this complete workload. Size the full stack during the busy operation described below. | Official guidance keeps its original test, recommendation or example scope. |
| CPU guidance | The linked source does not establish a fixed numerical whole-host baseline for this complete workload. Measure CPU use during realistic activity. | Core counts do not predict a fixed user, device or document capacity. |
| Storage planning | Persist workspace files, repositories, extensions, configuration, build caches and artifacts. | Installation space is separate from retained content, working files and backups. |
| Service topology | Follow the service topology in the linked upstream deployment for the chosen edition; include every required database, worker and storage service. The repository references PostgreSQL. These may be integrations or alternative backends; install only the services required by your selected topology. | Include every stateful companion service in the host budget. |
| Persistent state | Persist workspace files, repositories, extensions, configuration, build caches and artifacts. | An image rebuild or container replacement is not a backup. |
| Deployment boundary | Coder orchestrates workspaces; its control-plane database and each provisioned workspace consume different resources. A small control plane does not establish enough RAM to compile inside all workspaces. | Check the linked project instructions for the selected edition and release. |
When to upgrade your hardware
Use observed Coder 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 workspace files, repositories, extensions, configuration, build caches and artifacts. 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 1664 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
Coder orchestrates workspaces; its control-plane database and each provisioned workspace consume different resources. A small control plane does not establish enough RAM to compile inside all workspaces.
Check service configuration, I/O and network behavior before selecting a stronger CPU.Can it run on ZimaOS?
Official one-click ZimaOS availability has not been certified for this guide. Use the supported upstream runtime and service topology; consider Custom Install only when a maintained compatible container and all required host capabilities are available.
Custom install Coder in ZimaOS
Follow the service topology in the linked upstream deployment for the chosen edition; include every required database, worker and storage service. The repository references PostgreSQL. These may be integrations or alternative backends; install only the services required by your selected topology. Persist: Persist workspace files, repositories, extensions, configuration, build caches and artifacts.
Custom install Coder in the ZimaOS app ↗Use the official Coder deployment instructions
Keep the selected stable release, persistent paths and companion services aligned with upstream documentation.
Review Coder official installation ↗Check workload-specific deployment details
Coder orchestrates workspaces; its control-plane database and each provisioned workspace consume different resources. A small control plane does not establish enough RAM to compile inside all workspaces.
Review Coder deployment details ↗Which Zima hardware fits Coder?
Start with the lowest reasonable host for the actual workload. Product specifications were checked against the current product pages.
Which workload best matches your Coder deployment?
Modest Coder deployment
Start with durable active data and a measured whole-stack memory budget.
- Workload optionZimaBoard 2 1664
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 1664 | Modest Coder workload | active workspaces, language servers, dependency installs, builds and test processes. |
|
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 | Follow the service topology in the linked upstream deployment for the chosen edition; include every required database, worker and storage service. The repository references PostgreSQL. These may be integrations or alternative backends; install only the services required by your selected topology. |
|
Size the combined stack and active working set; more RAM does not fix remote API limits or missing dependencies. | Get Now |
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Frequently asked questions
Answers to Coder RAM, CPU, storage, Docker, database and ZimaOS sizing questions.
How much RAM should I plan for Coder?
The linked source does not establish a fixed numerical whole-host baseline for this complete workload. 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?
The linked source does not establish a fixed numerical whole-host baseline for this complete workload. Measure CPU use during realistic activity. The workload to test is: active workspaces, language servers, dependency installs, builds and test processes.
Which data must survive a container update?
Persist workspace files, repositories, extensions, configuration, build caches and artifacts. Preserve a consistent database/file set and verify that your recovery procedure restores a working application.
What other services belong in the budget?
Follow the service topology in the linked upstream deployment for the chosen edition; include every required database, worker and storage service. The repository references PostgreSQL. These may be integrations or alternative backends; install only the services required by your selected topology.
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?
Coder orchestrates workspaces; its control-plane database and each provisioned workspace consume different resources. A small control plane does not establish enough RAM to compile inside all workspaces. Measure the same representative operation before and after a configuration or hardware change.
Which Zima device is a practical starting point?
ZimaBoard 2 1664 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 Coder 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.
