Cloud VPS 6 GB
Below the RAM most models need once xCloud's 20-30% headroom rule is applied — fine for a quick test.
$24.99per month
- 6 GB RAM
- 4 vCPU cores
- 100 GB NVMe SSD
- 30 TB
- Unlimited
Ollama Hosting Live In 5 Minutes
Deploy Ollama on infrastructure you control, instead of sending every prompt to a hosted API. xCloud installs the runtime as a One-Click App on a Docker + NGINX server, validates disk space before anything downloads, and publishes it behind HTTPS on your domain — ready for you to pull a model from the dashboard.
- No terminal
- No technical skills needed
- No lock-in, cancel anytime
From Sign-Up to a Running Model In Just 3 Easy Steps
Self-hosting an LLM runtime normally means a container, a reverse proxy, a domain and a certificate before a single model is pulled. This is the same result without assembling any of it by hand.
Step 01
Sign Up
Create your xCloud account, spin up a Docker + NGINX server, and choose Ollama as the App Type. That choice is what tells xCloud this is an LLM server — pick General or Premium, a region and an Ubuntu version.
Step 02
We Deploy It For You
One click. We bring up Ollama on the Docker + NGINX stack, validate free disk space before anything installs, and publish it over HTTPS on your domain — no SSH session required.
Step 03
Pull A Model And Call The API
Open Ollama → Management, click Add New Model, choose one from the dropdown and pull it. Once it's resident, call the HTTP API from your own application or point a chat UI at it.
Everything Ollama Does, On Your Own Server
Ollama runs in full here — model downloads, the HTTP API and lifecycle management, on infrastructure you control.
Ollama's Full Model Library
Pull any model in Ollama's own library that fits your server's memory, straight from the dropdown in Ollama → Management.
HTTP And OpenAI-Compatible API
Call the runtime from your own software over its documented HTTP API, including an OpenAI-compatible route for repointing an existing integration.
One-Click Model Management
Add or remove models from the dashboard after deployment — no terminal session, no manual download.
A Chat UI When You Want One
Pair it with Open WebUI or LibreChat, both one-click apps, when people rather than programs need to talk to the model.
Point An Agent At Your Own Model
Expose the API through your server's NGINX config and add it as a model provider in OpenClaw, for agent workflows with no per-token API cost.
Disk Space Validated Before Install
Free space is checked before a containerized app installs, so a multi-gigabyte model download can't fail halfway for running out of room.
Everything You Need To Run Your Private Inference 24/7
Managed hosting for Ollama, so the parts that keep it online are not your problem.
- Ollama deployed instantly
- HTTP and OpenAI-compatible API included
- Pair it with Open WebUI or LibreChat for your team
- Free SSL certificate
- Server backups and snapshots
- Server security updates included
- 30+ server locations
- Unused balance refunded
Simple Pricing. Everything Included.
Dedicated Cloud VPS sizes, pre-configured for Ollama. Pick the one that fits the model you plan to run, and resize any time.
Cloud VPS 16 GB
Most popularReal headroom for a small-to-mid-sized model, its context, and the operating system.
$59.99per month
- 16 GB RAM
- 6 vCPU cores
- 200 GB NVMe SSD
- 30 TB
- Unlimited
Cloud VPS 24 GB
For a larger model, or Ollama running alongside another workload on the same server.
$84.99per month
- 24 GB RAM
- 8 vCPU cores
- 300 GB NVMe SSD
- 30 TB
- Unlimited
Every size is a dedicated Cloud VPS we provision, patch, monitor and restore. Billed monthly with no lock-in — delete the server and the unused balance comes back to your account. Ollama itself is free under the MIT License. The largest published models need far more than 24 GB; connect your own GPU machine through xCloud for those.
Already Have a Server? Bring Your Own
Connect any VPS or GPU machine — DigitalOcean, Vultr, Linode, AWS, Hetzner or bare metal — and deploy Ollama on it through the same panel, for a per-server management fee instead of a Cloud VPS rental.
Free
Start your journey without cost.
$0forever
- 1 server
- 10 sites
Starter
Most popularYour rate with 2–5 servers connected.
$5per server / month
- 2–5 servers
- Unlimited sites
- All features included
- Bring any VPS provider
Professional
The same platform, discounted at 6–10 servers.
$4per server / month
- 6–10 servers
- Unlimited sites
- All features included
- Bring any VPS provider
Agency
The same platform, discounted at 11+ servers.
$3per server / month
- 11+ servers
- Unlimited sites
- All features included
- Bring any VPS provider
Priced per connected server, so your rate adjusts automatically as you add or remove servers. You pay your own provider for the server itself — the only path to a GPU machine, since the managed ladder above is CPU.
Ready To Run Your Own Private AI Model?
Ollama on xCloud runs on a dedicated Cloud VPS that we provision, patch, monitor and restore. Deploy faster. Own the server. Keep every prompt off someone else's API.
Fast Provisioning
Deploy faster using an xCloud Managed Server built with optimized stacks and high-speed SSDs.
Enterprise-grade security
Protect your infrastructure with a free SSL certificate and more advanced security features at no additional cost.
Intuitive Control Panel
From Server creation to application deployment, everything can be managed from our intuitive control panel.
Hear what people are saying about us
See why agencies, developers, startups, and growing businesses choose xCloud to power their projects.
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Blaine MooreFrequently Asked Questions
Feel free to contact us with any questions or concerns you may have.
What is Ollama?
Ollama is an open-source runtime for open large language models — it downloads a model, keeps it resident in memory, and answers requests over an HTTP API. This page deploys it as a One-Click App on a managed server.
Is Ollama free?
Yes — Ollama itself is free and open source under the MIT License. What you pay xCloud for is the dedicated server it runs on and the management around it, not the software itself.
Can I call it from my own application?
Yes. The runtime exposes an HTTP API, including an OpenAI-compatible route, so an existing integration can usually be repointed at your server by changing a base URL and a key. Put a credential in front of it first — Ollama does not authenticate callers itself.
Which models can I run?
Anything in Ollama's own library that fits in your server's memory, pulled from the dropdown in Ollama → Management. The catalogue is Ollama's, so it grows when they publish new models rather than when we do — we do not certify a model as supported until its installation and runtime behavior are verified.
How do I add or remove a model after deployment?
Ollama → Management in the dashboard. Add New Model opens a dropdown and pulls the one you choose; the bin icon next to a model removes it.
Why does it need a Docker and NGINX server?
Ollama is a containerized app, so that stack is required rather than preferred. xCloud preselects it as soon as you choose Ollama as the App Type, which is also why it can't be added to an existing WordPress-style server.
Do models download again every time the server restarts?
No. Weights are written to the server's disk on first pull and stay there, which is why xCloud validates free disk space before a containerized app installs.
How fast will it be?
We have not published tokens-per-second numbers for specific server tiers, because we have not finished benchmarking them and an estimate would be worse than saying so. What's true today: CPU inference is slower than GPU, and larger models are slower than smaller ones on the same hardware.
CPU or GPU?
CPU works for batch work and a small team chatting at reading pace. Anything interactive, concurrent, or built on the largest models wants a GPU — xCloud's own self-hosted LLM guide recommends a GPU server for optimal performance. The managed ladder here is CPU; for a GPU, connect a machine from your own provider and manage it through xCloud the same way.
Is my data private?
Prompts, documents and completions stay on the server you control, since nothing needs to leave it to produce an answer. Access to that server — firewall rules, credentials, who can reach the API — is yours to configure.
Can I run a chat UI for my team?
Yes, and there are two. Open WebUI is a straightforward private chat window; LibreChat is a fuller platform, useful when the same window needs to reach hosted providers as well as your local model. Both are one-click apps, and both installers can bring Ollama up with them.
Can an AI agent use my self-hosted model instead of a paid API?
Yes. Expose the Ollama API through the server's NGINX config, then add that endpoint as a model provider in OpenClaw through its own UI rather than by hand-editing the config file.
What should I back up?
Pulled model weights and any application data from a UI you've paired with it (Open WebUI or LibreChat), together and from the same point in time.
Does xCloud automatically back up or update Ollama?
No. Backups run on the schedule you configure against your own S3-compatible store, and moving Ollama or a model to a newer version is a deliberate action you take, not something that happens automatically.
What are the server requirements, and why does this page sell 16 GB?
Ollama itself has almost no footprint; the constraint is the model you choose. xCloud's own guidance is to keep at least 20 to 30 percent more RAM than the model's weight size, and even a small model's weights (roughly 4-5 GB for common 4-bit builds) already push past a 6 GB server once that headroom and the OS are accounted for. This page sells the 16 GB tier as the entry rung so that floor isn't the ceiling on day one.
Is xCloud officially partnered with Ollama?
No. No official partnership or endorsement between xCloud and the Ollama project has been verified. This is a deployment and server-management option for the open-source Ollama runtime.
Can I cancel anytime?
Yes. There is no lock-in — cancel any time. Hosting is billed monthly and charged for what you actually use, so when you delete the server the unused balance is refunded to your account, less up to 10% in payment-processing fees.
Ready to Run Your Own Private AI Model?
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