Building a 192GB Generative AI Powerhouse for Coding

This is an exciting personal project showcasing the power of distributed computing for running [Large Language Model (LLM)] workloads! The creator is pushing the boundaries of what's possible with a multi-GPU setup, indicating a strong interest in accelerating [Inference] and enhancing coding capabilities. This DIY approach highlights the increasing accessibility of powerful computing for [Generative AI] applications.

• •The setup uses multiple GPUs to achieve 192GB of VRAM.
• •The project leverages vllm with ray for [Inference].
• •The goal is to use the cluster for coding and [Large Language Model (LLM)] tasks.