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README.md

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+# ollama-k80-lab
+
+[![License](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)
+
+## 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](LICENSE).