ollama-k80-lab/README.md

ollama-k80-lab

Overview

This project explores running Ollama, a local LLM runner, with a NVIDIA K80 GPU and investigates its integration with Dify, a powerful framework for building LLM-powered applications. The goal is to assess performance, explore limitations, and demonstrate the potential of this combination for local LLM experimentation and deployment.

Motivation

• Local LLM Exploration: Ollama makes it incredibly easy to run Large Language Models locally. This project aims to leverage that ease with the power of a GPU.
• K80 Utilization: The NVIDIA K80, while older, remains a viable GPU for LLM inference. This project aims to demonstrate its capability for running smaller to medium sized LLMs.
• Dify Integration: Dify provides a robust framework for building LLM applications (chatbots, agents, etc.). We want to see how seamlessly Ollama and Dify can work together, allowing us to rapidly prototype and deploy LLM-powered solutions.
• Cost-Effective Experimentation: Running LLMs locally avoids the costs associated with cloud-based APIs, enabling broader access and experimentation.

Contributing

Contributions are welcome! Please feel free to submit pull requests or open issues.

License

This project is licensed under the MIT License.