Python at the Speed of Light: Accelerating Science with CUDA Python
NVIDIA’s CUDA platform has long been the backbone of high-performance GPU computing, but its power has historically been gated behind C and C++ expertise. With the recent introduction of native Python support, CUDA is more accessible to the programming language you know and love, ushering in a new era for scientific computing, data science, and AI development.
Christopher Lamb is VP of Software for Compute Platforms at NVIDIA, where he runs a worldwide team building platforms for AI and parallel high-performance computing deployed across cloud, enterprise datacenter, edge and embedded applications. His team is responsible for the CUDA platform and the DGX/HGX cluster stack for AI. He holds six patents in parallel processing and earned a BS in Computer Engineering from the University of Illinois at Urbana-Champaign.