You don’t have to compromise on performance or privacy. The combination of Ollama’s intuitive model management and Kamatera’s reliable cloud infrastructure provides the perfect foundation for the next generation of AI-driven business tools.
Take your Large Language Models from local experimentation to production-ready infrastructure with total privacy and high-performance hardware on Kamatera.
Why host Ollama on Kamatera?
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Frequently asked questions
Ollama is an open-source framework designed for running large language models (LLMs) locally or on private servers. It simplifies the process of downloading, managing, and interacting with models like Llama 3 and Mistral through a simple command-line interface and a local API.
To run Ollama smoothly, your system should be equipped with one of the following operating systems:
Linux: Ubuntu 18.04 or later
macOS: macOS 11 Big Sur or later
RAM
8GB of RAM is the minimum recommended for running 3B models.
16GB of RAM to tackle 7B models.
At least 32GB of RAM for 13B models.
Disk Space
At least 12GB for installing the Ollama base models. You’ll need additional space for storing model data, which varies with the model size you choose.
50GB of spare disk space will ensure you won’t be scrambling for room as you collect various models or datasets.
For more detailed system requirements, refer to the Ollama docs.
Ollama’s primary strength is enabling secure, offline AI processing, which is crucial for handling sensitive or proprietary data in fields like finance and healthcare. By running large language models entirely on private systems, users eliminate compliance risks associated with transmitting data to third-party APIs. This local deployment also dramatically accelerates the development workflow, allowing engineers to quickly test models, refine prompts, and iterate on AI-powered features without relying on external cloud infrastructure or facing network latency.
Another key use involves multi-model specialization and rapid experimentation. Ollama makes it easy to download and deploy multiple specialized, lightweight models concurrently. This is ideal for building sophisticated AI agents where different models handle specific tasks—for instance, one for translating code and another for summarizing content. This capability lowers the barrier for researchers and enthusiasts to explore and fine-tune the performance of the latest open-source models right from their local machine.
Kamatera offers a free 30-day trial period. This free trial offers services worth up to $100 on 1 server. After signing up, you can use the management console to deploy a server and test our infrastructure. You can select a data center, operating system, CPU, RAM, storage, and other system preferences.
Our system accepts credit/debit cards issued by your local bank branch with a cardholder’s name. We also accept payments through PayPal.
No. This is the primary benefit of hosting Ollama on Kamatera. Unlike public AI services, your instance is entirely private. Your prompts, data, and model outputs stay on your server and are never used for training external models.
Yes. One of Kamatera’s core features is instant scaling. You can adjust your vCPU, RAM, and storage up or down instantly through our management console to match the evolving needs of your Alpine deployment, ensuring you only pay for what you use.