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Deploy self-hosted LLMs in a private VPS environment built for data sovereignty, model flexibility and reliable 24/7 performance.
NVMe 2
Personal sites, light apps, and dev sandboxes
£3.54/mo
1VAT not included
1GST not included
For 24 month term
Renews at £4.30/mo
RECOMMENDED
NVMe 4
Docker, AI agents, and growing applications
£7.17/mo
1VAT not included
1GST not included
For 24 month term
Renews at £9.05/mo
NVMe 8
Multi-container production and heavy traffic
£9.81/mo
1VAT not included
1GST not included
For 24 month term
Renews at £21.89/mo
NVMe 16
Heavy AI workloads, large databases, and enterprise stacks
£19.62/mo
1VAT not included
1GST not included
For 24 month term
Renews at £37.75/mo
Unmetered Web Hosting
Bandwidth is "Unmetered" which means you are not charged according to the amount of bandwidth you typically use in the normal operation of a personal or small business website.
However, we do require all customers to be fully compliant with our Terms of Service and to not exceed 25% or more of system resources for longer than 90 seconds.
If we have concerns about your account's bandwidth utilization, you will receive an email asking you to reduce usage.
It is rare for a customer who is managing a personal or small business website to exceed our usage policies.
Infrastructure Only Support
We maintain the hardware, network, and virtualization layer. You manage your OS, configurations, and applications.
These Self Managed VPS plans are perfect when you want full control of your server and are comfortable managing your own software, configurations, and applications. If you prefer assisted management, explore our Managed VPS or Dedicated options.
When Ollama projects move beyond experiments, Bluehost VPS gives your models a reliable 24/7 environment with dedicated resources and full control.
A simpler path from plan selection to live Ollama models on VPS.
Step 1: Choose your plan
Select an Ollama VPS plan based on the model size, performance needs and workload you want to support.
Step 2: Set up Ollama
Launch your pre-configured Ollama environment with 1-click setup, then use the model registry to choose and deploy the open model you want to run.
Step 3: Start running and managing models
Use simple CLI commands to manage models, optimize your setup with root access and connect workloads through the API.
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Once Ollama is deployed on VPS, the real value comes from how you put it to work.
Deploy and switch between models like Llama, Mistral, Gemma, DeepSeek, Phi and Qwen based on the workload you need to support.
Embed self-hosted LLMs into internal products, operational tools and custom applications without sending sensitive data through third-party APIs.
Connect your models through an OpenAI-compatible API to dashboards, developer frameworks and workflow tools like GitHub, Jira and Trello.
Run persistent inference, background AI processes and RAG pipelines on a VPS environment built for continuous operation and fast model access.
Built for private inference, faster model access and hands-on control, Bluehost VPS gives Ollama the performance headroom and flexibility serious AI workloads need.
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Allocated vCPU and RAM help keep model performance more stable under real workloads.
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High-throughput NVMe storage reduces bottlenecks and helps models load faster.
Install dependencies, tune your environment and run Ollama your way in a self-managed setup.
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Run private AI on fixed-cost VPS infrastructure instead of usage-based billing.
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Upgrade CPU, RAM and storage as your models, traffic and use cases expand.
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Bluehost VPS is a practical fit for inference, pre-trained models and lightweight fine-tuning with 99.99% uptime for always-on availability.
What is Ollama VPS hosting?
Ollama VPS hosting is a self-managed virtual private server environment for running open-source LLMs privately. Unlike a third-party Ollama hosting service or a local-only setup, it gives you dedicated resources, root access and always-on availability for self-hosted AI workloads.
Why choose Ollama self-hosting on a VPS instead of a laptop?
Ollama self-hosting on a VPS gives you a persistent 24/7 runtime that is better suited for internal tools, APIs, automation flows and other continuous workloads. It removes the reliability limits of laptop-based inference and makes it easier to host Ollama on a server built for production use.
What models can I run with Ollama model hosting on VPS?
With Ollama model hosting on VPS, you can run open-source models such as Llama, Gemma, Mistral and other compatible models, depending on available CPU, RAM, storage and workload demands. This flexibility is one of the main advantages of private Ollama hosting.
Can I host Ollama server on a CPU-only VPS, or do I need a GPU?
Yes, you can host Ollama server on a CPU-only VPS, but performance will usually be slower for larger or more demanding models. For heavier inference workloads, GPU-backed environments are often better. The right choice depends on your use case, response-time expectations and overall Ollama hosting cost considerations.
Can I connect Ollama hosting to apps, workflows and developer tools?
Yes. Ollama hosting supports API-based integration and OpenAI-compatible endpoints, making it easier to connect self-hosted models to internal apps, dashboards, automation tools and developer workflows. This is especially useful for teams that want an Ollama hosting service with more control and fewer platform limits..
Is Ollama hosting good for RAG, automation and always-on AI workloads?
Yes. Ollama hosting on VPS is well suited for retrieval-augmented generation, background inference, agent workflows and automation because it provides continuous uptime and a more stable runtime than local environments. It is a strong option when you need to host Ollama on a server for production-style workloads.
Why does performance stability matter for Ollama VPS hosting?
Performance stability matters when self-hosted AI workflows need to handle prompts, automation flows and background tasks without inconsistent slowdowns. VPSBenchmarks recognized Bluehost NVMe 2 as the #2 VPS under $8 for Performance Stability, as of May 3, 2026, with the plan earning an A grade in stability. That gives Ollama users a stronger signal when moving from local inference to an always-on VPS environment with greater confidence.
