Ollama is a self-hosted AI solution to run open-source large language models, such as Deepseek, Gemma, Llama, Mistral, and other LLMs locally or on your own infrastructure.
GPUMart offers best budget GPU servers for Ollama. Cost-effective Ollama hosting is ideal to deploy your own AI Chatbot. Note: You should have at least 8 GB of VRAM (GPU Memory) available to run the 7B models, 16 GB to run the 13B models, 32 GB to run the 33B models, 64 GB to run the 70B models.
GPUMart enables powerful GPU hosting features on raw bare metal hardware, served on-demand. No more inefficiency, noisy neighbors, or complex pricing calculators.
Rich Nvidia graphics card types, up to 48GB VRAM, powerful CUDA performance. There are also multi-card servers for you to choose from.
You can never go wrong with our own top-notch dedicated GPU servers for Ollama, loaded with the latest Intel Xeon processors, terabytes of SSD disk space, and up to 256 GB of RAM per server.
With full root/admin access, you will be able to take full control of your dedicated GPU servers for Ollama very easily and quickly.
With enterprise-class data centers and infrastructure, we provide a 99.9% uptime guarantee for Ollama Hosting service
One of the premium features is the dedicated IP address. Even the cheapest GPU hosting plan is fully packed with dedicated IPv4 & IPv6 Internet protocols.
GPUMart provides round-the-clock technical support to help you resolve any issues related to Ollama hosting.
Ollama's ease of use, flexibility, and powerful LLMs make it accessible to a wide range of users.
Ollama’s simple API makes it straightforward to load, run, and interact with LLMs. You can quickly get started with basic tasks without extensive coding knowledge.
Ollama offers a versatile platform for exploring various applications of LLMs. You can use it for text generation, language translation, creative writing, and more.
Ollama includes pre-trained LLMs like Llama 2, renowned for its large size and capabilities. It also supports training custom LLMs tailored to your specific needs.
Ollama actively participates in the LLM community, providing documentation, tutorials, and open-source code to facilitate collaboration and knowledge sharing.
Ollama is an open-source platform that allows users to run large language models locally. It offers several advantages over ChatGPT
Ollama enables users to create and customize their own models, which is not possible with ChatGPT, which is a closed product accessible only through an API provided by OpenAI.
Ollama is designed to be more efficient and less resource-intensive than other models, which means it requires less computational power to run. This makes it more accessible to users who may not have access to high-performance computing resources.
As a self-hosted alternative to ChatGPT, Ollama is freely available, while ChatGPT may incur costs for certain versions or usage.
Ollama allows for running multiple models in parallel, providing customization and integration, which can be useful for tasks like autogen and other applications.
All components necessary for OLlama to operate, including the LLMs, are installed within your designated server. This ensures that your data remains secure and private, with no sharing or collection of information outside of your hosting environment.
Ollama is renowned for its straightforward setup process, making it accessible even to those with limited technical expertise in machine learning. This ease of use opens up opportunities for a wider range of users to experiment with and leverage LLMs.
If you're running models on the Ollama platform, selecting the right NVIDIA GPU is crucial for performance and cost-effectiveness.
Deploy Ollama on a bare-metal server with a dedicated or multi-GPU setup in just 10 minutes at GPU Mart. (Supports automatic deployment or manual installation.)
Click Order Now, on the order page, select the pre-installed Ollama OS image for automatic setup. Alternatively, choose a standard OS and manually install Ollama after deployment.
If you selected a standard OS, remotely log in to your GPU server and install the latest version of Ollama from the official website. Installation steps are the same as a local deployment.
Choose and download a pre-trained LLM model compatible with Ollama. You can explore different models based on your needs: - Run Llama 3.1 8B with Ollama - Run Mistral using Ollama - Install and Run DeepSeek R1 Locally With Ollama
Start interacting with your model directly from the terminal or via Ollama's API for integration into applications.
The most commonly asked questions about Ollama hosting service below.