Adam Tetelman is a principal architect at NVIDIA focused on building out inference platforms for NVIDIA AI Enterprise and DGX Cloud. Adam has a degree in computational robotics, computer and systems engineering, and cognitive science. He leads cloud native Kubernetes initiatives across the company. Doing DevOps and AI related work over the past 15 years, he has deployed and operationalized several of the top 50 supercomputers, built out the NVIDIA Deep Learning Institute, and engaged with numerous MLOps communities.