events per second, payload size, retention, background evaluations and query concurrency. Time the job and identify CPU, storage or external-service waits before replacing hardware.
Imports, processing and simultaneous users.Requisitos de hardware do Langfuse: RAM, CPU, armazenamento, volume de rastreios e retenção
Planeie a RAM, a CPU, o armazenamento persistente e as dependências de serviço do Langfuse, com dimensionamento do ZimaOS com base nas cargas de trabalho, cópias de segurança e escolhas práticas de hardware.
Langfuse hardware requirements at a glance
Langfuse supports LLM traces, prompts, evaluations and stored observations. Size it around events per second, payload size, retention, background evaluations and query concurrency, including the complete service stack and durable data. Observability storage is separate from the models being observed. Size the documented database/analytical/object-store stack and limit retention; evaluation model calls can run elsewhere.
- RAM
- The official VM/Compose guide recommends at least 16 GiB memory for its deployment example; add OS and unrelated-service headroom.
- CPU
- At least 4 cores are recommended for the same official VM deployment example.
- Storage
- Trace payloads, ClickHouse, object storage, PostgreSQL and configured retention determine capacity.
- 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 ClickHouse. These may be integrations or alternative backends; install only the services required by your selected topology.
- Main sizing variable
- events per second, payload size, retention, background evaluations and query concurrency.
- Practical Zima starting point
- The linked Compose VM recommendation is 4 cores and 16 GiB; an 8 GB host is below it. A 16 GB base system leaves limited whole-host headroom. Verify additional available RAM or externalize supported components before deploying the full stack.
From official requirements to the right setup
Plan the complete Langfuse 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 ClickHouse. These may be integrations or alternative backends; install only the services required by your selected topology.
-
Confirm your needs
Test a representative busy operation: events per second, payload size, retention, background evaluations and query concurrency. 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 traces, events, evaluations, datasets, artifact/object storage and metadata database. 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. The self-hosted stack includes multiple stateful components such as PostgreSQL, ClickHouse, cache/queue and object storage according to the selected release. Trace ingestion and evaluation generation are different workloads.
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.
The self-hosted stack includes multiple stateful components such as PostgreSQL, ClickHouse, cache/queue and object storage according to the selected release. Trace ingestion and evaluation generation are different workloads. 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 official VM/Compose guide recommends at least 16 GiB memory for its deployment example; add OS and unrelated-service headroom. | Official guidance keeps its original test, recommendation or example scope. |
| CPU guidance | At least 4 cores are recommended for the same official VM deployment example. | Core counts do not predict a fixed user, device or document capacity. |
| Storage planning | Trace payloads, ClickHouse, object storage, PostgreSQL and configured retention determine capacity. | 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 ClickHouse. 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 traces, events, evaluations, datasets, artifact/object storage and metadata database. | An image rebuild or container replacement is not a backup. |
| Deployment boundary | The self-hosted stack includes multiple stateful components such as PostgreSQL, ClickHouse, cache/queue and object storage according to the selected release. Trace ingestion and evaluation generation are different workloads. | Check the linked project instructions for the selected edition and release. |
When to upgrade your hardware
Use observed Langfuse 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 traces, events, evaluations, datasets, artifact/object storage and metadata database. 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
The self-hosted stack includes multiple stateful components such as PostgreSQL, ClickHouse, cache/queue and object storage according to the selected release. Trace ingestion and evaluation generation are different workloads.
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 Langfuse 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 ClickHouse. These may be integrations or alternative backends; install only the services required by your selected topology. Persist: Persist traces, events, evaluations, datasets, artifact/object storage and metadata database.
Custom install Langfuse in the ZimaOS app ↗Use the official Langfuse deployment instructions
Keep the selected stable release, persistent paths and companion services aligned with upstream documentation.
Review Langfuse official installation ↗Check workload-specific deployment details
The self-hosted stack includes multiple stateful components such as PostgreSQL, ClickHouse, cache/queue and object storage according to the selected release. Trace ingestion and evaluation generation are different workloads.
Review Langfuse deployment details ↗Which Zima hardware fits Langfuse?
Start with the lowest reasonable host for the actual workload. Product specifications were checked against the current product pages.
Which workload best matches your Langfuse deployment?
Modest Langfuse 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 Langfuse workload | events per second, payload size, retention, background evaluations and query concurrency. |
|
This base 16 GB configuration does not establish extra OS/service headroom above the upstream 16 GiB VM recommendation. Measure and provision the complete stack before deployment. | 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 ClickHouse. These may be integrations or alternative backends; install only the services required by your selected topology. |
|
This base 16 GB configuration does not establish extra OS/service headroom above the upstream 16 GiB VM recommendation. Measure and provision the complete stack before deployment. | Get Now |
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Frequently asked questions
Answers to Langfuse RAM, CPU, storage, Docker, database and ZimaOS sizing questions.
How much RAM should I plan for Langfuse?
The official VM/Compose guide recommends at least 16 GiB memory for its deployment example; add OS and unrelated-service headroom. Include ZimaOS, the application and its companion services rather than reserving the entire machine for one container.
What drives the CPU requirement?
At least 4 cores are recommended for the same official VM deployment example. The workload to test is: events per second, payload size, retention, background evaluations and query concurrency.
Which data must survive a container update?
Persist traces, events, evaluations, datasets, artifact/object storage and metadata database. 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 ClickHouse. 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?
The self-hosted stack includes multiple stateful components such as PostgreSQL, ClickHouse, cache/queue and object storage according to the selected release. Trace ingestion and evaluation generation are different workloads. 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 Langfuse 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.
