As large language models (LLMs) continue to grow in size and complexity, the demand for efficient inference capabilities becomes paramount. Models like LLama 3.3 405B and DeepSeek-R1, with their billions of parameters, pose significant challenges in terms of computational resources and energy consumption. In this talk, we will explore how Nvidia's latest GPU architecture, Blackwell, is designed to address these challenges.