OpenClaw Server Requirements in 2026 (Is 4GB RAM Enough?)


Published: Feb 13, 2026

Last Updated: Feb 27, 2026

OpenClaw Server Spec Table (2026)

TierRAMvCPUStorage
Starter4 GB1-240 GB
Recommended8 GB2100 GB NVMe
Scale16 GB4200 GB NVMe

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Sizing OpenClaw correctly avoids most early production failures. This guide gives practical minimum and recommended specs based on workload shape, integration count, and growth expectations.

Focus topics: openclaw server requirements, openclaw ram requirement, openclaw cpu requirement, openclaw minimum requirements 2026

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Minimum vs Recommended Requirements

A minimum node can run OpenClaw for low-volume use when external models handle inference. Typical baseline is Ubuntu 22.04 LTS, 4 GB RAM, 1-2 vCPU, and 40 GB NVMe storage with disciplined log retention.

Recommended production sizing starts at 8 GB RAM and 2 vCPU for better response stability under concurrent tasks. If teams plan heavy automation schedules, provisioning above minimum prevents early scaling pain.

ProfileCPURAMStorageObserved Behavior
Minimum (validation)1 vCPU4 GB40 GB NVMeStable for low concurrency and external API calls
Recommended (production)2 vCPU8 GB100 GB NVMeLower queueing and better burst handling
Scale tier4 vCPU16 GB200 GB NVMeBest for high connector and job volume

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Is 4GB RAM Enough for OpenClaw?

Yes, 4 GB can be enough for small-to-moderate workloads with external LLM APIs. It is a practical entry tier for validation and controlled production use where workflow concurrency is moderate.

No, 4 GB is usually not enough for mixed workloads that include high log retention, many connectors, or parallel background tasks. In those cases, 8 GB or 16 GB gives safer operating margins.

CPU, Storage, and Bandwidth Planning

CPU affects task throughput and runtime responsiveness. If automations are event-heavy or schedule bursts are common, extra vCPU reduces queueing and timeout risk.

Storage and bandwidth planning should reflect logs, backups, and connector traffic patterns. NVMe storage helps with faster I/O and operational consistency under sustained activity.

  • Starter: 1 vCPU, 4 GB RAM, 40+ GB storage
  • Growth: 2 vCPU, 8 GB RAM, 100 GB NVMe
  • Scale: 4 vCPU, 16 GB RAM, 200 GB NVMe
  • Bandwidth should match expected API traffic and sync jobs

Swap, Ubuntu Baseline, and Production Warning

Use Ubuntu 22.04 LTS and keep a conservative swap configuration so short memory bursts do not kill core services. A common baseline is 2 to 4 GB swap on smaller nodes.

Production warning: minimum specs are for controlled workloads only. If you expect concurrent jobs, long retention windows, or heavy connector traffic, start at recommended tiers instead of minimum.

  • OS baseline: Ubuntu 22.04 LTS
  • Swap baseline: 2-4 GB on 4 GB/8 GB nodes
  • Enable monitoring for CPU steal, RAM pressure, and disk I/O
  • Upgrade before saturation, not after incident

OpenClaw Requirements: Self-Hosted VPS vs Managed OpenClaw

Infrastructure requirements are not just hardware numbers. Setup time, operational skill, and incident ownership directly affect reliability and delivery speed.

OptionSetup TimeSkills RequiredRecommended Workloads
DIY VPS2-4 hoursLinux + DockerSmall projects and validation
Cloudrifts ManagedAbout 5 minutesNone for baseline deploymentProduction workloads and scaling teams
AWS Lightsail30-60 minutesAWS console + Linux basicsIntermediate developer workflows

When to Upgrade Your OpenClaw Node

Upgrade before incidents, not after. Sustained memory pressure, slow queue drain, and repeated timeout patterns are signs your node is undersized.

A planned upgrade path keeps workflows stable. If you monitor baseline metrics weekly, you can scale compute and storage before users feel impact.

Sizing by Team Type

Indie builders can start with a 4 GB node and move up once automation volume rises. Agencies and SaaS teams usually benefit from 8 GB+ earlier because multi-project usage increases operational load quickly.

Choose capacity based on workload behavior, not just current test traffic. Production-like staging tests are the best way to validate the right tier.

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Frequently Asked Questions

Does OpenClaw need GPU in production?

Not when external LLM APIs are used. GPU is mainly relevant for local model hosting use cases.

Can I start at 4 GB and upgrade later?

Yes. Starting at 4 GB is common, then upgrading to 8 GB or 16 GB as concurrency grows.

What storage type is best for OpenClaw?

NVMe storage is preferred for better I/O responsiveness and operational consistency.

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Competitor and market references in this content use public snapshots as of February 12, 2026 and may change over time.

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