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.Wymagania sprzętowe Judge0 CE: pamięć RAM, procesor, pamięć masowa, przestrzenie robocze i zadania kompilacji
Zaplanowanie pamięci RAM, procesora, pamięci trwałej i zależności usług Judge0 CE, a także dobór rozmiaru ZimaOS do obciążenia, kopii zapasowych i praktycznych komponentów sprzętowych.
Judge0 CE hardware requirements at a glance
Judge0 CE supports isolated source-code compilation and execution through an API. Size the complete deployment around active workspaces, language servers, dependency installs, builds and test processes. Code execution requires the release-specific sandbox, kernel/cgroup and privilege prerequisites. Do not treat it as an ordinary unrestricted custom container on a data NAS. Use a supported isolated execution host and budget compilers, per-submission limits and concurrent workers separately from its API/database services.
- 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 workspace files, repositories, extensions, configuration, build caches and artifacts 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. The source references SQLite, Redis / Valkey, MongoDB. These can be integrations or alternative backends; this list does not require all of them to be installed together.
- Main sizing variable
- active workspaces, language servers, dependency installs, builds and test processes.
- Practical Zima starting point
- Use a supported isolated or appropriately provisioned execution host for the complete workload. The Zima choices below are conditional lab/supporting-service options, not validation of a production deployment.
From official requirements to the right setup
Plan the complete Judge0 CE 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. The source references SQLite, Redis / Valkey, MongoDB. These can be integrations or alternative backends; this list does not require all of them to be installed together.
-
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 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. Code execution requires the release-specific sandbox, kernel/cgroup and privilege prerequisites. Do not treat it as an ordinary unrestricted custom container on a data NAS. Use a supported isolated execution host and budget compilers, per-submission limits and concurrent workers separately from its API/database services.
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.
Code execution requires the release-specific sandbox, kernel/cgroup and privilege prerequisites. Do not treat it as an ordinary unrestricted custom container on a data NAS. Use a supported isolated execution host and budget compilers, per-submission limits and concurrent workers separately from its API/database services. 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 workspace files, repositories, extensions, configuration, build caches and artifacts 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. The source references SQLite, Redis / Valkey, MongoDB. These can be integrations or alternative backends; this list does not require all of them to be installed together. | Include every stateful companion service in the host budget. |
| Persistent state | Persist workspace files, repositories, extensions, configuration, build caches and artifacts as used by the selected deployment. | An image rebuild or container replacement is not a backup. |
| Deployment boundary | Code execution requires the release-specific sandbox, kernel/cgroup and privilege prerequisites. Do not treat it as an ordinary unrestricted custom container on a data NAS. Use a supported isolated execution host and budget compilers, per-submission limits and concurrent workers separately from its API/database services. | Check the linked project instructions for the selected edition and release. |
When to upgrade your hardware
Use observed Judge0 CE 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 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 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
Code execution requires the release-specific sandbox, kernel/cgroup and privilege prerequisites. Do not treat it as an ordinary unrestricted custom container on a data NAS. Use a supported isolated execution host and budget compilers, per-submission limits and concurrent workers separately from its API/database services.
Check service configuration, I/O and network behavior before selecting a stronger CPU.Can it run on ZimaOS?
Code execution requires the release-specific sandbox, kernel/cgroup and privilege prerequisites. Do not treat it as an ordinary unrestricted custom container on a data NAS. Use a supported isolated execution host and budget compilers, per-submission limits and concurrent workers separately from its API/database services.
Verify the supported Judge0 CE deployment first
Code execution requires the release-specific sandbox, kernel/cgroup and privilege prerequisites. Do not treat it as an ordinary unrestricted custom container on a data NAS. Use a supported isolated execution host and budget compilers, per-submission limits and concurrent workers separately from its API/database services.
Review supported upstream deployment ↗Use the official Judge0 CE deployment instructions
Keep the selected stable release, persistent paths and companion services aligned with upstream documentation.
Review Judge0 CE official installation ↗Check workload-specific deployment details
Code execution requires the release-specific sandbox, kernel/cgroup and privilege prerequisites. Do not treat it as an ordinary unrestricted custom container on a data NAS. Use a supported isolated execution host and budget compilers, per-submission limits and concurrent workers separately from its API/database services.
Review Judge0 CE deployment details ↗Which Zima hardware fits Judge0 CE?
Start with the lowest reasonable host for the actual workload. Product specifications were checked against the current product pages.
Which workload best matches your Judge0 CE deployment?
Modest Judge0 CE 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 | Conditional lab or supporting-service role | active workspaces, language servers, dependency installs, builds and test processes. |
|
Code execution requires the release-specific sandbox, kernel/cgroup and privilege prerequisites. Do not treat it as an ordinary unrestricted custom container on a data NAS. Use a supported isolated execution host and budget compilers, per-submission limits and concurrent workers separately from its API/database services. | Get Now |
| ZimaCube 2 Pro | Conditional lab or supporting-service role | Use the service topology in the linked primary deployment source for your selected edition and release; include all required persistence, worker and runtime services. The source references SQLite, Redis / Valkey, MongoDB. These can be integrations or alternative backends; this list does not require all of them to be installed together. |
|
Code execution requires the release-specific sandbox, kernel/cgroup and privilege prerequisites. Do not treat it as an ordinary unrestricted custom container on a data NAS. Use a supported isolated execution host and budget compilers, per-submission limits and concurrent workers separately from its API/database services. | Get Now |
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Frequently asked questions
Answers to Judge0 CE RAM, CPU, storage, Docker, database and ZimaOS sizing questions.
How much RAM should I plan for Judge0 CE?
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: 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 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. The source references SQLite, Redis / Valkey, MongoDB. These can be integrations or alternative backends; this list does not require all of them to be installed together.
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?
Code execution requires the release-specific sandbox, kernel/cgroup and privilege prerequisites. Do not treat it as an ordinary unrestricted custom container on a data NAS. Use a supported isolated execution host and budget compilers, per-submission limits and concurrent workers separately from its API/database services. Do not assume a generic ZimaOS custom-container install meets these prerequisites.
What should I check before upgrading hardware?
Code execution requires the release-specific sandbox, kernel/cgroup and privilege prerequisites. Do not treat it as an ordinary unrestricted custom container on a data NAS. Use a supported isolated execution host and budget compilers, per-submission limits and concurrent workers separately from its API/database services. 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 Judge0 CE 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.
