The world of Artificial Intelligence is evolving at breakneck speed, blink, and you will miss the next advance. With model sizes getting larger and larger, researchers and developers are constantly seeking ways to improve the efficiency and performance of AI models. One of the easiest ways to achieve this is using multiple Graphics Processing Units

In recent months, large language models have been the subject of extensive research and development, with state-of-the-art models like GPT-4, Meta LLaMa, and Alpaca pushing the boundaries of natural language processing and the hardware required to run them. Running inference on these models can be computationally challenging, requiring powerful hardware to deliver real-time results.