TLDR
- The best VPS for OpenClaw is usually a small Linux VPS with root or sudo access, Docker/Compose support, persistent storage, backups, and a public IP.
- For most always-on OpenClaw gateway deployments, start around 2 vCPU, 4 GB RAM, and 20–50 GB SSD/NVMe. Treat this as practical guidance, not an official production requirement.
- Shared hosting is not recommended for most OpenClaw deployments because OpenClaw typically needs runtime control, long-running services, and Docker or Node.js setup.
- Fluence, Hetzner, Hostinger, Contabo, and xCloud fit different OpenClaw hosting needs: predictable self-managed VPS, community-value VPS, one-click beginner setup, raw RAM/specs, and managed OpenClaw hosting.
- GPU or dedicated servers are only relevant when the inference layer moves onto your own hardware, such as local models, embeddings, many browser sessions, or heavier AI workloads.
- Separate the OpenClaw gateway server from model/API costs. The VPS keeps OpenClaw online, but external model APIs, backups, bandwidth, monitoring, and renewals shape the real monthly bill.
The best VPS for OpenClaw is not necessarily the biggest server. For most deployments, the safer starting point is a small Linux VPS with root access, Docker/Compose support, a public IP, backups, and enough RAM headroom to stay stable while your agents run 24/7. A practical baseline is 2 vCPU, 4 GB RAM, and 20–50 GB SSD/NVMe, while browser automation or multiple agents may need 4 vCPU, 8 GB RAM, or more.
OpenClaw is usually better planned as two layers: a lightweight always-on gateway/control layer, and a separate inference layer. The gateway keeps channels, sessions, tools, and agent workflows reachable while your laptop is offline. The inference layer can stay with external model APIs, or move to GPU cloud, local models, or dedicated hardware only when the workload justifies it.
That distinction changes the hosting decision. Shared hosting is usually the wrong fit because OpenClaw needs more runtime control than typical shared plans provide. A self-managed CPU VPS from providers such as Fluence, Hetzner, Hostinger, or Contabo gives more control, while xCloud fits readers who want managed OpenClaw hosting instead of handling Docker, updates, and server operations themselves.
Quick Picks: The Best VPS for OpenClaw by Use Case
Choose the best VPS for OpenClaw by matching the hosting model to the job: self-managed gateway, beginner-friendly setup, managed OpenClaw, free testing, or separate inference hardware. For most always-on deployments, shortlist a 2 vCPU / 4 GB RAM Linux VPS first, then scale only when browser automation, multiple agents, or local inference add real pressure. Shared hosting should stay out of the production shortlist.
| Rank | Provider | Best for | Management type | Suggested OpenClaw spec | Monthly price |
| 1 | Fluence | Predictable always-on gateway hosting | Self-managed CPU VM | 2 vCPU / 4 GB RAM / 25 GB NVMe starting point | $9.33 |
| 2 | Hetzner | Community-value VPS where available | Self-managed VPS | 2 vCPU / 4 GB RAM baseline | $7.40 |
| 3 | Hostinger | One-click OpenClaw VPS for beginners | One-click VPS | 2 vCPU / 8 GB RAM / 100 GB NVMe | $14.99 |
| 4 | Contabo | Raw RAM/specs per dollar | Self-managed VPS | 4 vCPU / 8 GB RAM (if browser automation needs headroom) | $5.20 |
| 5 | xCloud | Fully managed OpenClaw hosting | Managed OpenClaw | Verify sizing against workload | $24 |
For quick use-case mapping: testing only points to Oracle Cloud Always Free with caveats, beginner/no terminal points to xCloud or Hostinger, developer-controlled always-on hosting points to Fluence, budget DIY points to Hetzner or Contabo, and local model inference needs a separate GPU or dedicated-server plan rather than a bigger gateway VPS.
Compare current Fluence VM pricing for your OpenClaw gateway after you confirm the required CPU, RAM, storage, bandwidth, region, and backup assumptions.
OpenClaw VPS Requirements: Minimum vs Recommended Specs
OpenClaw VPS requirements are modest for the gateway layer, but tiny servers leave little margin for Docker builds, updates, logs, browser sessions, and long-running AI agent processes. The practical default for most always-on deployments is 2 vCPU / 4 GB RAM / 20–50 GB SSD or NVMe, with a Linux OS, SSH access, Docker/Compose support, persistent storage, backups, and a public IP. Treat that as a reliability baseline, not an official production requirement.
OpenClaw should be sized as a gateway first. The server keeps AI agents, channels, tools, sessions, and workflows online, while model calls usually run through external APIs. That means the OpenClaw gateway normally belongs on a CPU VPS, not a GPU server. GPU or dedicated hardware only enters the plan when you run local inference, embeddings, many browser sessions, or other heavy AI workloads outside the gateway.
A useful mental model is:
Telegram / WhatsApp / Slack / Discord → OpenClaw gateway VPS → model APIs or separate inference server → tools, skills, workflows
| Use case | Starting vCPU | Starting RAM | Storage | Hosting type | Notes |
| Testing or one personal agent | 1–2 vCPU | 2 GB minimum | 20–50 GB | Linux VPS | 2 GB is the Docker build floor from OpenClaw docs |
| Comfortable 24/7 gateway | 2 vCPU | 4 GB | 20–50 GB, more if logs grow | CPU VPS | Best starting point for most always-on use |
| Browser automation | 4 vCPU | 8 GB | 40–80 GB | Larger CPU VPS | Browser sessions add memory pressure |
| Multiple agents or team use | 4–8 vCPU | 8–16 GB | 80 GB+ as needed | Larger VPS or dedicated | Size around sessions, logs, backups, and workflow concurrency |
| Local LLM or embeddings | Varies | Varies | Varies | Dedicated, GPU, or separate inference server | Keep the gateway separate unless local inference is required |
For teams still defining the workload itself, the AI chatbot, assistant, and agent comparison helps clarify why agent infrastructure usually needs more headroom than a simple chat interface. OpenClaw acts more like an operator than a responder, and the VPS should be sized for that operating reality.
Minimum specs (testing or one personal AI agent)
Memory is the hard floor. The OpenClaw Docker build requires at least 2 GB RAM, so 1 GB VPS plans may fail during builds or become unstable during updates. O2 A 2 vCPU host is preferred to avoid slow installs and rebuilds.
Storage should include more than app files. Docker layers, dependencies, logs, configs, and session state all add up. Plan for 20–50 GB SSD/NVMe as a safe minimum, especially beyond short tests.
Fluence’s personal deployment guidance includes lower-memory examples, but those are not production-safe baselines. F2 Use low-memory VMs for experimentation only; real always-on agents need headroom for rebuilds, logs, and maintenance.
Recommended specs (24/7 OpenClaw gateway)
For most always-on deployments, start at 2 vCPU / 4 GB RAM. This supports Docker, OpenClaw runtime, channel integrations, logs, and light monitoring without constant scaling.
Infrastructure hygiene matters as much as specs. Public IP control, firewall rules, SSH keys, backups, snapshots, and monitoring define reliability more than raw RAM. A smaller well-secured VPS is safer than a larger poorly managed one.
Storage depends on state:
- 20–50 GB → small personal gateway
- 40–80 GB → longer-lived setups with logs, sessions, backups
Specs for browser automation and multiple AI agents
Browser automation increases memory pressure quickly. A practical starting point is 4 vCPU / 8 GB RAM for headless browsers, multiple channels, and concurrent workflows.
Failures usually show up as:
- Slow builds and updates
- Memory pressure and killed processes
- Full disks from logs and sessions
- Unstable or inconsistent AI agent behavior
Monitor before scaling: RAM, disk usage, restarts, container logs, and channel errors.
For heavier workloads, plan around 4–8 vCPU / 8–16 GB RAM. Dedicated servers may make sense if you need stronger isolation or run many browser sessions.
When OpenClaw needs GPU or dedicated servers
OpenClaw’s gateway is CPU-oriented. You do not need a GPU to run the gateway, handle channels, or call APIs. O1, O2
GPU or dedicated hardware is only relevant when you move inference onto your own infrastructure:
- Local LLMs or embeddings
- Heavy AI workloads
- Many browser sessions or strict isolation
External model APIs keep the VPS small because the gateway acts as the control plane, not the model host. The clean pattern is:
CPU VPS (gateway) → external APIs or separate inference server
Start with a small, stable VPS for the gateway, then scale inference separately only when latency, privacy, cost, or throughput require it.
Once sizing is clear, the next decision is choosing between shared hosting, VPS, managed hosting, or dedicated infrastructure.
Shared hosting is not recommended for most OpenClaw deployments. OpenClaw usually needs root or sudo access, long-running process control, Docker/Compose or Node.js runtime control, persistent storage, and network configuration. A VPS is the default fit for most OpenClaw gateway servers, while dedicated hardware only makes sense for strict isolation, local inference, many browser sessions, or heavier workloads.
| Hosting type | Works for OpenClaw? | Control level | Best for |
| Shared hosting | Not recommended | Low | Static sites, basic apps |
| Self-managed VPS | Yes, default choice | High | Most OpenClaw gateway deployments |
| One-click VPS | Yes, with caveats | Medium to high | Faster beginner setup |
| Managed OpenClaw | Yes | Lower | No-terminal or low-ops users |
| Dedicated or bare metal | Sometimes | High | Local inference, many browser sessions, strict isolation |
Shared hosting is built for controlled, tenant-safe workloads, not always-on AI agent infrastructure. OpenClaw needs a daemon-style gateway, runtime control, and network access. If Docker, custom Node.js versions, systemd, open ports, or process supervision are restricted, deployments become fragile.
Failures often show up after install:
- Background services get killed
- Required ports are blocked
- Dependencies are restricted
- Logs are inaccessible for debugging
Shared IP reputation can also affect messaging workflows. The result is unstable agents and limited visibility when something breaks.
Why VPS is the default choice
A VPS gives OpenClaw the control plane it needs without jumping to dedicated hardware. With root or sudo access, you can:
- Choose OS and runtime (Docker/Compose, Node.js)
- Configure firewall rules and networking
- Attach persistent storage and backups
- Run and supervise long-lived services
This control matters in production. You get SSH access, snapshots before upgrades, container logs for debugging, restart policies, and basic monitoring for disk, RAM, and process health. It also keeps gateway cost separate from model/API usage, which is critical for cost control.
Fluence fits this model as a self-managed CPU Cloud / Virtual Servers option for the OpenClaw gateway. It focuses on predictable always-on VM infrastructure, with support for public IP management and persistent storage, plus an OpenClaw setup guide. Pricing, bandwidth, regions, and SLA should still be verified before use.
When dedicated or bare metal makes sense
Dedicated servers are only needed when VPS tradeoffs become limiting. Typical triggers:
- Local LLMs or embeddings
- Many browser sessions
- Heavy logs or storage needs
- Strict isolation or predictable hardware requirements
Dedicated vCPU VPS is not the same as bare metal. It reduces CPU contention but still runs on shared hardware. Bare metal gives full physical isolation, which may matter for performance consistency or compliance.
For most OpenClaw use cases, dedicated hardware is unnecessary. Keep the gateway on a CPU VPS, then move inference-heavy workloads to GPU or dedicated infrastructure only when needed.
Where managed OpenClaw fits
Managed OpenClaw is for users who want convenience over control. xCloud is the main example here, with managed OpenClaw starting from $24/month, no Docker, no terminal, and 30+ locations.
One-click VPS products sit in between:
- Hostinger / Bluehost → faster setup
- Not necessarily fully managed unless updates, backups, and security are included
Fluence should be treated as self-managed infrastructure, not managed OpenClaw. It fits developers comfortable with SSH, Docker, updates, and backups.
In short:
- Want control → VPS (Fluence, Hetzner)
- Want faster setup → one-click (Hostinger, Bluehost)
- Want no ops → managed (xCloud)
With hosting types clear, the next step is choosing the right provider.
The Best VPS for OpenClaw in 2026
The best OpenClaw host depends on whether you want infrastructure control, a faster one-click setup, more RAM per dollar, or a managed service. For most deployments, the right starting point is still a CPU VPS for the gateway layer, not a GPU or dedicated server. Use the provider ranking below as a shortlist, then verify current pricing, renewal terms, bandwidth, regions, setup fees, and support scope before publishing or buying.
| Rank | Provider | Best for | Management type | Strong fit |
| 1 | Fluence | Predictable always-on gateway hosting | Self-managed CPU VM | Developers who want control and cost clarity |
| 2 | Hetzner | Community-value VPS where available | Self-managed VPS | Budget-conscious DIY users |
| 3 | Hostinger | One-click OpenClaw VPS | One-click VPS | Beginners who want easier setup |
| 4 | Contabo | Raw RAM/specs per dollar | Self-managed VPS | RAM-heavy experiments and browser automation |
| 5 | xCloud | Fully managed OpenClaw hosting | Managed OpenClaw | Users who do not want Docker or terminal work |
The 5 Best VPS for OpenClaw in 2026 (Concise Breakdown)
1. Fluence — Best for predictable always-on OpenClaw gateway
Fluence is best suited for developers who want a self-managed CPU VPS specifically aligned with OpenClaw’s gateway/control-layer architecture, where uptime, public IP handling, storage, and runtime control matter more than raw compute for inference.
Why it fits
- Built for predictable VM-style hosting
- Supports persistent storage and public IP management
- Includes an OpenClaw setup guide for deployment
Key context
- Pricing page shows ~$9.33/month comparison point
- Treat pricing, bandwidth, and savings claims as vendor-positioned
Trade-offs
- Not managed OpenClaw
- You handle setup, updates, security, backups, monitoring
Choose if: you want full control and predictable gateway hosting
Avoid if: you want fully managed OpenClaw
2. Hetzner — Best community-value VPS (region-dependent)
Hetzner is a strong choice for technically comfortable users who want a low-cost, self-managed VPS with solid baseline performance for always-on OpenClaw gateways, provided the service is available and reliable in their region.
Why it fits
- Well-known for price-to-performance value
- Flexible VPS sizing for small to mid-scale gateway workloads
Baseline
- Start ~2 vCPU / 4 GB RAM, scale for heavier use
Trade-offs
- Region availability, account verification, capacity limits
- Fully self-managed (you handle firewall, updates, backups)
- April 2026 pricing changes
Choose if: you want a cost-efficient DIY VPS
Avoid if: you need guided setup or managed hosting
3. Hostinger — Best one-click OpenClaw VPS
Hostinger is best for users who want a pre-configured OpenClaw VPS with minimal setup effort, making it easier to get agents running without manually configuring Docker, Node.js, or the full runtime stack.
Why it fits
- One-click OpenClaw deployment
- Example plan: 2 vCPU / 8 GB RAM / 100 GB NVMe / 8 TB bandwidth
- Promo ~$8.99/month → ~$14.99/month renewal
Trade-offs
- One-click ≠ fully managed
- Must verify updates, backups, and security scope
- Promo pricing depends on term and upfront payment
Choose if: you want faster setup with less manual work
Avoid if: you need full infrastructure control
4. Contabo — Best RAM/specs per dollar
Contabo is a practical option for users who prioritize maximum RAM and larger VPS specs at a lower price point, especially for OpenClaw workloads that involve browser automation, multiple agents, or heavier memory usage.
Why it fits
- High RAM allocation for the price
- Suitable for scaling beyond small VPS limits
Baseline
- Start ~4 vCPU / 8 GB RAM for browser-heavy use
Trade-offs
- Setup fees, bandwidth rules, I/O consistency, and support vary
- Real value depends on current plan details → verify
- Avoid assuming “best value” without benchmarks
Choose if: you need more memory per dollar
Avoid if: you need predictable performance or managed support
5. xCloud — Best fully managed OpenClaw hosting
xCloud is designed for users who want OpenClaw running as a managed service without handling server setup, Docker, or ongoing infrastructure operations, trading control for simplicity and time savings.
Why it fits
- Managed OpenClaw from ~$24/month
- No Docker or terminal required
- 30+ locations and 14-day money-back guarantee
Trade-offs
- Less control over infrastructure and runtime
- Requires your own AI API keys
- Must verify backups, updates, support scope, and data handling
Choose if: you want minimal setup and maintenance
Avoid if: you need root access or custom infrastructure
This shortlist narrows the main options. Next: compare additional providers before making a final decision.
The ranked shortlist narrows the main choices, but several other OpenClaw hosting options are worth comparing before making the final call.
Other OpenClaw Hosting Options Worth Comparing
The top five covers most decisions, but these alternatives are useful for free testing, developer UX, one-click setup, or regional flexibility. Treat them as secondary comparisons and verify pricing, bandwidth, and terms before choosing.
Oracle Cloud Always Free — Best free VPS for testing
Oracle Cloud Always Free is ideal for experimenting without paying for a VPS. The packet lists Arm Ampere A1 resources, up to 24 GB RAM and 200 GB block storage, which is generous for testing and learning.
The trade-off is friction. Capacity may be limited, setup is more involved, and ARM compatibility needs checking. Treat it as a testing environment, not a default production host.
DigitalOcean — Best developer UX, but pricier
DigitalOcean is a strong option when developer experience and tooling matter. The packet lists a 2 vCPU / 4 GB / 80 GB Droplet with 4,000 GiB transfer at $24/month, which fits a typical 24/7 OpenClaw gateway.
Its docs, APIs, snapshots, and workflows reduce operational overhead. The trade-off is cost, which may be higher than budget VPS providers for similar specs.
Bluehost — One-click deployment with full root control
Bluehost is useful for users who want a guided OpenClaw setup while keeping server control. The packet notes one-click deployment with containers and dependencies preinstalled, while still allowing root access.
The key caveat is scope. One-click simplifies setup, but it is not fully managed unless updates, backups, and security responsibilities are explicitly included.
Vultr, Linode/Akamai, OVHcloud, IONOS, and Kamatera
These providers are worth comparing for region coverage, developer workflow, dedicated options, or flexible sizing, but should remain secondary unless verified data justifies ranking higher.
For OpenClaw, compare on fundamentals:
- Linux + root access
- Docker compatibility
- Public IP and networking
- Persistent storage and backups
- Bandwidth/transfer limits
- Support and renewal pricing
OpenClaw Hosting Cost: VPS Price vs Real Monthly Spend
OpenClaw hosting cost is bigger than the base VPS price. The server keeps the gateway online, but the real monthly spend can include model/API usage, backups, snapshots, extra storage, bandwidth, static IPs, monitoring, domains, support, taxes, and renewal pricing. Separate the OpenClaw gateway server from the inference layer before comparing providers.
A small OpenClaw gateway can look cheap if you only compare VPS sticker prices. In practice, the monthly cost changes once you include backups, bandwidth, renewals, and support. A Fluence VM, Hetzner VPS, Hostinger plan, or DigitalOcean Droplet can all run the gateway, but total cost of ownership (TCO) depends on the full stack, not just base pricing. Fluence’s positioning around predictable VM pricing is relevant here, notably its unlimited bandwidth and zero egress fees.
Here’s a useful breakdown of tracking your OpenClaw’s TCO:
1. Separate gateway cost from inference cost
Model/API usage is often the real cost driver. If OpenClaw frequently calls external models, inference spend can exceed the VPS cost, while the gateway remains a relatively small control-plane expense.
Key implication:
- Do not oversize the VPS to solve model cost
- Scale inference (API usage, model choice), not just server specs
2. Watch promotional pricing vs real spend
Promotional VPS pricing can mislead if you only look at the headline number. Hostinger’s packet data shows both promo and renewal pricing, which highlights the gap. H1
Compare:
- 12-month total cost (not first-month price)
- Renewal rates
- Backup and add-on costs
- Support tier and payment terms
3. Free tiers trade money for friction
Oracle Cloud Always Free is useful for testing, but “free” comes with trade-offs:
- Capacity availability is not guaranteed
- Setup can be more complex
- ARM compatibility may require adjustments
- Operational friction replaces direct cost
For production, these trade-offs can outweigh the zero-dollar entry point. OR1
4. Managed hosting shifts cost to time savings
Managed OpenClaw (e.g., xCloud starting from $24/month in the packet) changes the cost model. X1 Instead of paying with time and operational effort, you pay for convenience.
Trade-offs:
- Less infrastructure control
- Must verify backups, updates, support, and security scope
- Still responsible for model/API costs
5. Practical cost model
Keep the comparison simple:
- Gateway VPS cost → small, predictable baseline
- Inference cost → variable, often dominant
- Operational costs → backups, bandwidth, support, monitoring
Price all three together. That’s the real monthly cost of running OpenClaw.
The practical comparison is simple: price the gateway, price inference separately, then add the operational costs that keep the deployment recoverable.
How to Choose the Right VPS for OpenClaw
Choose based on what you want to optimize: cost, control, convenience, RAM headroom, or local inference. Most setups should keep the OpenClaw gateway on a small CPU VPS, then scale only when real workload signals demand it.
1. Personal always-on gateway
Shortlist: Fluence, Hetzner, Hostinger
- Fluence → predictable self-managed VM for the gateway; supports public IP, persistent storage, and has an OpenClaw setup guide.
- Hetzner → budget-friendly DIY option if region, capacity, and current pricing fit. HE1
- Hostinger → one-click setup path; promo pricing (1st month only), renewals, and what’s actually managed.
2. No-ops / managed deployment
Shortlist: xCloud
- Managed OpenClaw from $24/month (no Docker or terminal required, 30+ locations).
- Trade-off: less control; verify backups, updates, support scope, and data handling before relying on it
3. Browser automation or multiple agents
Start with 4 vCPU / 8 GB RAM; scale to 8–16 GB RAM for heavier workloads.
- Watch for: memory pressure, disk growth, restarts, unstable agents
- Rule of thumb:
- Resource issues → scale VPS
- Latency or cost issues → scale inference layer
4. Local LLMs or embeddings
Keep the gateway separate. OpenClaw does not need GPU for channels or workflows.
- Use GPU cloud, dedicated servers, or local hardware only for inference workloads, not the gateway
If you want predictable self-managed gateway hosting, compare Fluence VM pricing first. If you want less maintenance, compare xCloud or one-click options, then verify what they actually manage before treating them as production-ready.
Security Checklist Before Running OpenClaw on a VPS
Secure the VPS before exposing any OpenClaw gateway, webhook, or admin surface. Most risks are basic: weak SSH access, open ports, leaked API keys, missing backups, and unmonitored resources. A VPS gives full control, but also full responsibility.
Before launch:
- Use SSH keys, disable password login, and avoid running services as root
- Keep OS, Node.js, Docker, and OpenClaw updated
- Lock down ports with a firewall; never expose gateway/admin endpoints without auth
- Store API keys securely, not in shell history, repos, or loose configs
- Back up configs, sessions, and logs; snapshot before upgrades
- Monitor disk, RAM, restarts, and logs
- Use private admin access (VPN, Tailscale, SSH tunnel)
OpenClaw channel behavior is part of security. Default DM pairing and channel access should be reviewed before production. Messaging agents can trigger real workflows, so permissions, allowlists, and tool access must be controlled early, not patched later. O1
Docker does not remove hardening needs. You still need patched images, controlled env vars, restricted ports, restart policies, and visible logs. A container stuck in restart loops can hide failures as easily as a crashed process. O2
Fluence’s public IP management and persistent storage help at the infrastructure level, but they do not replace firewalling, backups, IAM discipline, or application-level auth. F3 The same applies to any VPS provider.
Avoid exposing OpenClaw directly to the internet. Safer pattern: open only required ports, restrict admin access via private networking or tunnels, keep secrets out of public repos, and snapshot before major changes.
Conclusion
The best VPS for OpenClaw is the smallest reliable always-on environment that gives you runtime control, RAM headroom, public IP handling, backups, and predictable costs. Shared hosting is not the right default because OpenClaw needs long-running services, Docker/Compose or Node.js control, logs, and network configuration. For most gateway deployments, start around 2 vCPU / 4 GB RAM, then move to 4 vCPU / 8 GB or higher only when browser automation, multiple agents, or heavier workflows justify it.
Keep the gateway and inference layers separate. OpenClaw itself does not need GPU infrastructure just to stay online, connect channels, and call model APIs. GPU cloud, local hardware, or dedicated servers become relevant when you run local models, embeddings, many browser sessions, or stricter isolation requirements.
For provider choice, match the host to your operating model. Fluence is a strong option for predictable self-managed CPU VM hosting of the OpenClaw gateway, powered by its dedicated servers, low predictable costs, persistent storage, and public IP management. Hostinger and xCloud are better fits for convenience, Hetzner and Contabo are DIY/budget candidates with verification caveats, and Oracle Cloud Always Free is best treated as a testing path rather than a default production recommendation.
FAQs
What are the minimum specs to run OpenClaw on a VPS?
The OpenClaw Docker build path requires at least 2 GB RAM, so 1 GB VPS plans are risky for install, rebuilds, and updates. For practical always-on use, start closer to 2 vCPU / 4 GB RAM / 20–50 GB SSD or NVMe.
Shared hosting is not recommended for most OpenClaw deployments. OpenClaw usually needs Docker/Compose or Node.js runtime control, long-running processes, root or sudo access, logs, firewall control, and public/private network configuration.
Which VPS is best for OpenClaw in 2026?
For predictable self-managed gateway hosting, Fluence is the top-ranked option in this guide. For community-value DIY hosting, compare Hetzner. For one-click setup, compare Hostinger. For raw RAM/specs, compare Contabo. For managed OpenClaw, compare xCloud.
Is there a free VPS for OpenClaw?
Oracle Cloud Always Free is the main free option worth testing. The packet lists Arm Ampere A1 resources, up to 24 GB memory, and up to 200 GB block volume total. OR1 Treat it as a testing option first because capacity availability, setup complexity, ARM compatibility, and account limits can affect real usability.
Is Fluence a good VPS for OpenClaw?
Yes, Fluence is a strong option for self-managed OpenClaw gateway hosting when you want CPU VM infrastructure, public IP management, persistent storage, and control over deployment. It should not be treated as managed OpenClaw unless Fluence explicitly verifies that service scope.
Do I need a dedicated server for OpenClaw?
Usually, no. A normal OpenClaw gateway can run on a CPU VPS, while dedicated servers make sense for local LLMs, many browser sessions, heavy storage/log retention, stricter isolation, or more predictable hardware behavior.
Do I need a GPU to run OpenClaw?
No, not for the gateway layer. GPU infrastructure is only relevant when you run local models, embeddings, or heavier inference workloads outside the OpenClaw gateway.
What is the difference between self-hosted and managed OpenClaw hosting?
Self-hosted OpenClaw means you manage the VPS, runtime, firewall, updates, backups, logs, and recovery process. Managed OpenClaw shifts more setup and operational work to the provider, but you should verify exactly what updates, backups, support, locations, and security responsibilities are included.
How much does it cost to run OpenClaw per month?
The monthly cost depends on the VPS, model/API usage, backups, bandwidth, storage, static IPs, monitoring, support, taxes, and renewal terms. Base VPS pricing is only one part of the bill, and model/API usage may become the larger cost center.
Can I run multiple OpenClaw agents on one VPS?
Yes, if the server has enough CPU, RAM, storage, and monitoring for the number of channels, sessions, logs, and workflows. For multiple agents or browser automation, start around 4 vCPU / 8 GB RAM and monitor memory, restarts, disk growth, and logs before scaling further.
Is Hostinger good for OpenClaw?
Hostinger is a good fit for beginners who want a one-click OpenClaw VPS path. The packet lists an OpenClaw page with promo and renewal pricing, specs, and bandwidth, but current pricing, payment terms, renewals, template behavior, and support scope should be verified before buying.
Is Hetzner better than Contabo for OpenClaw?
It depends on what you value. Hetzner is stronger for community-value DIY VPS comparison where region, pricing, and availability fit, while Contabo is mainly a raw RAM/specs-per-dollar candidate. Hetzner’s April 2026 price adjustments and Contabo’s current pricing/specs both need verification before making a final call.
