Using Clusters to Boost LLMs

In the video titled “Using Clusters to Boost LLMs” by Alex Ziskind, the host demonstrates how to run the Llama 3.1 405 billion parameter model across multiple laptops using a clustering approach. The video highlights the ease of setting up the EXO framework, which allows for efficient utilization of available hardware to run large models. Ziskind explains the process of downloading and running the model, as well as the benefits of using clusters to enhance performance and overcome hardware limitations. The host emphasizes the importance of community-driven projects and provides insights into the future of AI model deployment.