Local LLM Models with Ollama

100% Local Artificial Intelligence for Maximum Privacy and Control

Local AI for Sensitive Data

Our Large Language Models (LLM) local service allows companies that handle sensitive information to implement artificial intelligence solutions directly in their infrastructure. With Ollama, we guarantee that no data leaves your servers, maintaining the maximum level of privacy and control.

What We Offer

  • Installation and configuration of Ollama in your infrastructure
  • Implementation of selected LLM models
  • Model customization with your data
  • Continuous support and updates

Key Benefits

  • 100% local processing without internet connection
  • Maximum data privacy and security
  • No recurring usage costs
  • Complete customization according to your needs

Advantages of Local LLMs

Maximum Privacy

Your sensitive data never leaves your servers, ensuring compliance with regulations such as GDPR, HIPAA and SOC2.

Offline Operation

Once installed, the system operates completely without internet connection, eliminating external dependencies.

No Recurring Costs

After the initial installation, there are no fees for usage, API calls or queries, significantly reducing operational costs.

Complete Customization

Models can be trained and fine-tuned with your specific data to achieve highly relevant results.

High Performance

Fast and efficient processing thanks to model optimization for specific local hardware.

Flexible Integration

Easy integration with your existing systems through RESTful APIs and custom libraries.

Available Models

Llama 3.2

Meta's most advanced series of language models, available in multiple sizes (1B-70B parameters) for different computational needs.

General Conversations Complex Reasoning Multilingual

Mistral

Models optimized for multilingual performance with excellent reasoning and code generation capabilities.

Multilingual Performance Code Generation Resource Efficient

CodeLlama

Specialized in programming tasks, including code generation, completion and discussion about programming in multiple languages.

Code Generation Code Completion Multi-language Support

Gemma

Lightweight and efficient models developed by Google, ideal for applications that require fast responses with limited resources.

Lightweight Model Fast Responses Resource Efficient

System Requirements

Recommended Hardware

  • RAM: Minimum 16GB, recommended 32GB or more
  • CPU: Modern processor with 8 cores or more
  • GPU (Optional): NVIDIA GPU with CUDA for acceleration
  • Storage: SSD with at least 50GB of free space

Required Software

  • Operating System: Linux (Ubuntu 20.04+), macOS or Windows 10+
  • Containers: Docker (optional but recommended)
  • Python: Version 3.8 or higher
  • SSH Access: For remote configuration and maintenance

Ready to Implement Local AI?

Contact us for a free evaluation of your needs and discover how local LLM models can transform your business while maintaining maximum privacy.