Ollama Hosting Live In 5 Minutes

Ollama hosting on xCloud runs a self-hosted LLM runtime on a server you control, instead of sending every prompt to a hosted API. Deploy Ollama as a One-Click App on an NGINX server: xCloud validates free disk space before anything downloads, publishes the runtime behind HTTPS on your domain, and leaves you to pull a model from the dashboard.

Deploy your Ollama

No terminal
No technical skills needed
No lock-in, cancel anytime

What is Ollama?

Ollama is a self-hosted LLM runtime: open-source software that downloads an open large language model, keeps it resident in memory and answers over a REST API. Its README documents official Python and JavaScript libraries and a model library, so self-hosted Ollama can stand in for a hosted OpenAI API when you want prompts to stay on your own server. It is released under the MIT License.

On xCloud, Ollama is a One-Click App that needs an NGINX server, which xCloud preselects when you choose Ollama as the App Type. xCloud checks free disk space before install and publishes the runtime behind HTTPS on your domain. You add and remove models from Ollama, Management in the dashboard. Ollama has no login of its own, so access control is yours to put in front of it.

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 an 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 in Docker on the 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.

Models From Ollama's Library
Pull models from Ollama's own library through the dropdown in Ollama → Management, as long as the weights fit your server's memory.
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
xCloud checks for the required free disk space before a Docker-based one-click app such as Ollama installs. Model weights are large, so keep an eye on free disk as you pull more.

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

What You Can Do With Ollama

Run open source LLMs on your own server
A developer pulls an open model from Ollama's library in the dashboard and calls it from their own application, with prompts and completions staying on a server they rent rather than a hosted API.
Repoint an OpenAI integration at your own model
A team with software built on an OpenAI-style client changes the base URL and key to point at the OpenAI-compatible route on their own Ollama server, keeping the rest of the code as it is.
Give your team a private chat window
A small team pairs Ollama with Open WebUI or LibreChat, both one-click apps, so people can chat with a model on the company's own server rather than pasting documents into a public service.
Power an agent with a self-hosted model
A builder exposes the Ollama API through the server's NGINX config and adds it as a model provider in OpenClaw, so agent workflows run against their own model instead of a paid per-token API.

Ollama vs Alternatives

OpenAI API: The OpenAI API is a hosted service billed per use. Ollama exposes an OpenAI-compatible route on a server you run, so prompts stay there. This page makes no claim that its models match hosted ones in quality.
llama.cpp: llama.cpp is a separate project. Ollama wraps model downloads, a model library and a REST API in one runtime, and xCloud deploys it with HTTPS and dashboard model management, so you do not run the pieces by hand.
LocalAI: LocalAI is another self-hosted model server with its own OneClick page, so it is a different runtime and API. Choose this page when you want Ollama and its model library specifically.
LlamaGPT: LlamaGPT is a self-hosted chat app with its own OneClick page. It is an interface rather than the model runtime itself, so people often pair a chat UI with Ollama instead of choosing between them.

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 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

Get started

Cloud VPS 16 GB

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

Get started

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.

Docker hosting

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

Start free

Starter

Professional

The same platform, discounted at 6–10 servers.

$4per server / month

6–10 servers
Unlimited sites
All features included
Bring any VPS provider

Get started

Agency

The same platform, discounted at 11+ servers.

$3per server / month

11+ servers
Unlimited sites
All features included
Bring any VPS provider

Get started

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.

Self-managed hosting

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

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Frequently Asked Questions

Feel free to contact us with any questions or concerns you may have.

What is Ollama used for?

Ollama is used to run open large language models on your own hardware: it downloads a model, keeps it resident in memory and answers over a REST API. People use it for private chat, coding assistants, agents and applications that would otherwise call a hosted model API.

Can you run Ollama in Docker?

Yes. Ollama publishes an official ollama/ollama Docker image, and xCloud's Ollama Docker hosting deploys it as a One-Click App on an NGINX server. It is a server you run, not Ollama cloud models, which are Ollama's own hosted service and unrelated to xCloud.

Is Ollama free?

Yes. Ollama is free and open source under the MIT License, linked from this page. xCloud bills for the dedicated server and the management around it, not for the software, and there is no per-token charge from Ollama on your own server.

Does Ollama have an API?

Yes. Ollama has a REST API for running and managing models, and it includes an OpenAI-compatible route, so an existing integration can usually be repointed by changing a base URL and a key. Ollama does not authenticate callers itself, so put a credential in front of it first.

Can Ollama run DeepSeek and Qwen models?

Ollama pulls models from its own library at ollama.com/library, so check there for the builds it lists. xCloud does not certify a specific model as supported or promise how well it runs on a given plan; the main limit is whether the model's weights fit in your server's memory.

Does Ollama need a GPU?

Not to start. Ollama runs on CPU, but CPU inference is slower than a GPU, and larger models are slower on the same hardware. xCloud's own guide recommends a GPU server for optimal performance. The managed ladder here is CPU, so bring your own GPU machine.

How much RAM does Ollama need?

Ollama itself is light; the model decides. xCloud's guide says to keep at least 20 to 30 percent more RAM than the model's size, and common 4-bit builds of small models are already roughly 4 to 5 GB. That is why this page sells the 16 GB tier as the entry rung.

What is the difference between Ollama and llama.cpp?

They are separate projects. Ollama is a runtime with its own REST API, model library and model download management, which is what this page deploys with HTTPS in front. llama.cpp is a different project, and this page makes no speed or quality comparison between the two.

How do I connect Open WebUI to Ollama?

Open WebUI is a one-click app that gives people a private chat window onto your Ollama server, and xCloud's self-hosting guide walks through deploying both. LibreChat is a fuller platform if the same window must also reach hosted providers. Both can be installed alongside Ollama.

Open WebUI hosting

What should I back up?

Back up the Docker volumes that hold pulled model weights, plus the volumes of any chat UI you paired with Ollama, taken together from the same point in time. xCloud's Docker app backups capture named volumes and the app's compose file and environment.

Backup and restore Docker apps

How do I upgrade Ollama or a model?

Nothing upgrades automatically. Backups run only on the schedule you configure, and moving Ollama or a model to a newer version is a deliberate action you take. Add or remove models in Ollama, Management; weights stay on the server's disk between restarts.

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.