Ollama

Ollama is the leading open-source platform for running large language models locally, bringing the power of AI to your own infrastructure without cloud dependencies or API costs. With over 105,000 GitHub stars and millions of downloads, Ollama has become the standard tool for developers, researchers, and organizations who want to leverage state-of-the-art language models while maintaining complete control over their data and infrastructure. Supporting popular models including Llama 3.3, Mistral, Gemma 2, Phi 4, DeepSeek-R1, Qwen, and dozens of others, Ollama provides a unified interface for downloading, managing, and running AI models with automatic optimization for your hardware. The platform handles the technical complexity of model quantization, GPU acceleration, and memory management, making it simple to deploy AI capabilities on everything from laptops to enterprise servers.

Common Use Cases

Developers & Software Engineers: Build AI-powered applications without vendor lock-in or per-token costs. Integrate local LLMs into development tools for code completion, documentation generation, code review, and automated testing. Run experiments with different models to find the optimal balance between speed, quality, and resource usage. Create custom chatbots, content generation tools, and natural language interfaces for applications. Data Scientists & Researchers: Experiment with cutting-edge open-source models in a controlled environment. Fine-tune models on proprietary datasets without sending data to third-party services. Compare model performance across different architectures and quantization levels. Develop and test AI prototypes before deploying to production. Privacy-Conscious Organizations: Process sensitive documents, code, customer data, and internal communications with AI assistance while keeping all data on-premises. Comply with data residency requirements and industry regulations by eliminating cloud dependencies. Audit and control exactly which models and versions are used in your infrastructure. Content Creators & Writers: Generate, edit, and refine content with AI assistance running entirely on your own hardware. Create marketing copy, articles, social media posts, and creative writing without usage limits or subscription fees. Experiment with different models and prompts to develop your unique AI-assisted workflow.

Key Features

• Run 100+ open-source models including Llama 3.3, Mistral, Gemma 2, Phi 4, and DeepSeek-R1
• Simple CLI commands for pulling, running, creating, and managing models
• REST API for integrating AI capabilities into applications and services
• Automatic model quantization and optimization for available hardware
• GPU acceleration support for NVIDIA CUDA and Apple Metal
• Multimodal support with vision models like LLaVA for image and text processing
• Modelfile system for creating custom models with system prompts and parameters
• Model library with pre-configured templates for common tasks
• Streaming responses for real-time generation and better UX
• Context window management for long conversations and documents
• Model versioning and updates with simple pull commands
• Memory-efficient model loading with automatic resource management
• Compatible with OpenAI API format for easy integration with existing tools
• Support for function calling and structured outputs
• No telemetry or data collection - completely private by default

Why deploy Ollama on Hostinger VPS

Deploying Ollama on Hostinger VPS transforms your server into a private AI inference engine accessible from anywhere, eliminating per-token costs and data privacy concerns of cloud AI services. With dedicated VPS resources, you can run multiple models simultaneously, handle concurrent requests from team members, and maintain consistent performance without throttling or rate limits. The persistent volume ensures downloaded models remain available across container restarts, avoiding repeated multi-gigabyte downloads. Self-hosting Ollama enables unlimited API calls, conversations, and content generation without subscription fees—especially valuable for teams with high AI usage or building AI-powered products. For organizations with compliance requirements, running Ollama on your VPS ensures sensitive data, prompts, and generated content never leave your infrastructure. The REST API allows seamless integration with web applications, development tools, automation scripts, and AI interfaces like Open WebUI. VPS deployment provides the computational resources needed for larger models while maintaining the flexibility to scale as your AI needs grow. You can experiment with different models, fine-tune prompts, and develop AI features without worrying about API costs accumulating. For developers building AI applications, researchers conducting experiments, or teams requiring reliable and private AI capabilities, Ollama on Hostinger VPS delivers enterprise-grade local AI inference with the performance, privacy, and cost-effectiveness that cloud services cannot match.