Purchase a Self-Managed VPS Hosting with Ollama Installation

Ollama is an AI-powered platform designed to provide advanced language model capabilities for businesses and developers. It offers robust natural language processing (NLP) tools that can be integrated into applications for tasks such as text generation, summarization, translation, and conversational AI. Ollama combines ease of use with powerful customization, making cutting-edge AI technology accessible without the need for deep technical expertise.

How to Purchase a Self-Managed VPS Hosting with Ollama Installation

To get started with Ollama on Bluehost, you first need to purchase a Self-Managed VPS plan. Follow the steps below:

Pre-configured Setup

New to VPS or not sure where to start? No worries! At the top of the Self-Managed VPS purchase page, you’ll see the Pre-configured Setup section. This handy feature is perfect if you’re feeling a bit unsure—just pick the type of project you want, like WordPress Site, AI Agent/Claude Code, Dev/Staging, or eCommerce Store. We’ll take care of the rest by automatically filling in the best plan, operating system, and template for you.

• Super simple for beginners or anyone who just wants a quick setup
• Instantly get the recommended settings for your project
• Skip the guesswork and save time
• You can still customize things later if you want

Give the Pre-configured Setup a try and get your Bluehost Self-Managed VPS up and running in no time!

1. In your browser, go to https://www.bluehost.com/vps-hosting.
2. Click the Choose Plan button under your preferred VPS hosting plan.

   
    

   Important: Pricing is subject to change—please visit https://www.bluehost.com/vps-hosting for the current introductory/sign-up offer for Bluehost VPS Hosting. For the most up-to-date renewal pricing, visit your Bluehost Portal Renewal Center.

3. Select your preferred Data Center location.

   
    

4. On the Cart page, you can configure your server to fit your needs in the following section:
   1. Hardware:
      1. Pre-selected:

         You can select a different Self-Managed VPS plan in this section.

         
          

      2. Configure:

         Click Configure to customize your package.

         Note that your changes help customize your plan, and the overall cost will adjust accordingly to fit your needs.

         
          

   2. Software:
      1. Click on the Application tab.
      2. Choose Ollama.

         
          

      3. Click Confirm to continue.

         
          

5. Add-Ons:
   • Premium Support:

     This service provides you with priority access to our expert team for faster responses and personalized assistance whenever you need it.

     
      

6. In the Advanced options:
   • Extra IP's: You can add extra IP addresses for an additional fee.
     Pricing changes based on how many IPs you add.
   • Hostname: Assign a custom hostname to easily identify your server. This is optional.

   
    

7. Select your preferred billing term and view your Order Summary. Click the Continue to Checkout button to proceed.

   
    

8. Do the following on the Checkout page:

   If you're new with Bluehost:

   1. Create your Bluehost account by using your email address or by connecting with your Google, Apple, or GitHub account — whichever you prefer!

      
       

   2. Select your preferred payment method: credit card, Google Pay, or PayPal. Enter your billing information.

      
       

   If you have an account with us, you will see your Bluehost login details when you are logged into your Bluehost Portal. If you are not logged in, please click the Log In link.

   
    

9. In the Shopping Cart section, you can still adjust your billing term if needed.

   
    

10. Review the items in your cart, add a Promo Code if you have one, and then click Submit Payment to complete the purchase.

    
     

After checkout, your Self-Managed VPS will begin setting up. Once it’s ready, you can find it under the Hosting tab in your Bluehost Portal.

How to Use Ollama

1. Log in to your server via SSH.
   When you log in to your server for the first time, you're greeted with a welcome message that includes all the essential commands and instructions for managing Ollama. The content looks like this:

   
   Welcome to Ubuntu 24.04.4 LTS (GNU/Linux 6.8.0-111-generic x86_64)
   ********************************************************************************
   Ollama is running on this server.
   
   The UFW firewall is enabled.
   All ports are BLOCKED except 22 (SSH) and 11434 (Ollama API).
   
   API endpoint:
     http://localhost:11434
   
   Common commands:
     ollama list                  # list downloaded models
     ollama pull llama3.2         # download a model (~2GB)
     ollama pull tinyllama        # download a small starter model (~637MB)
     ollama run tinyllama         # start an interactive chat session
   
   REST API examples:
     curl http://localhost:11434/api/version
     curl http://localhost:11434/api/tags
     curl -X POST http://localhost:11434/api/generate \
          -d '{"model":"tinyllama","prompt":"Hello","stream":false}'
   
   On the server:
     Models are stored in /var/lib/ollama/.ollama/models
     Service config: /etc/systemd/system/ollama.service.d/override.conf
   
   For more details please see /root/README.md
   
   To delete this message of the day: rm -rf /etc/update-motd.d/99-ollama
       

2. Check installed and available models via the CLI.

   ollama list

   Example Output:

   
   NAME        	ID          	SIZE    MODIFIED
   tinyllama   	sha256:e5562a3b…	637 MB  3 minutes ago
       

3. Pull a model (tinyllama is preinstalled on first boot):

   ollama pull llama3.2

   Example Output:

   
   pulling manifest
   pulling 2.0 GB model
   ...
   success
       

4. Start an interactive session with a model:

   ollama run tinyllama

   Example Output:

   
   >>> Hello, how can I help you today?
   (type /exit to quit)
       

5. Remove a model to free up disk space:

   ollama rm tinyllama

   Example Output:

   
   Deleted model 'tinyllama'
       

6. Interact with the Ollama REST API
   • Check Ollama version:

     curl http://localhost:11434/api/version

     Example Output:

     
     {"version": "0.1.25"}
             

   • List available models (tags):

     curl http://localhost:11434/api/tags

     Example Output:

     
     {"models":[{"name":"tinyllama","modified_at":"2024-06-18T10:17:22.093Z"}]}
             

   • Generate a non-streaming completion:

     
     curl -X POST http://localhost:11434/api/generate \
          -H 'Content-Type: application/json' \
          -d '{"model":"tinyllama","prompt":"Why is the sky blue?","stream":false}'
             

     Example Output:

     
     {"response":"The sky looks blue because of the way sunlight interacts with Earth's atmosphere...","model":"tinyllama",...}
             

   • Start a chat session via API:

     
     curl -X POST http://localhost:11434/api/chat \
          -H 'Content-Type: application/json' \
          -d '{"model":"tinyllama","messages":[{"role":"user","content":"Hello"}]}'
             

     Example Output:

     
     {"message":{"role":"assistant","content":"Hello! How can I help you?"}, ...}
             

7. Model storage location
   Models are stored in

   /var/lib/ollama/.ollama/models

   Before pulling large models, make sure you have sufficient disk space (7B models may need 4-8 GB free space).

8. Service config and logs
   • Service configuration is at

     /etc/systemd/system/ollama.service.d/override.conf

   • For logs or troubleshooting, see:

     cat /root/README.md

Links

• Ollama Documentation

Summary

Ollama is a powerful AI-driven language platform that businesses and developers can leverage for various applications such as customer support, content creation, data analysis, development, and education. By purchasing a Self-Managed VPS Hosting plan from Bluehost, you can gain the flexibility and control necessary to configure your environment and deploy Ollama effectively. This combination enables you to harness the potential of advanced AI technology to drive innovation and improved communication.