Meetup: NVIDIA GPU For End-To-End Machine Learning Acceleration Workshop

GPU computing has become one of the most important elements of AI infrastructure today. Owing to inherent architectural advantages, GPUs are well-suited to accelerate Deep Learning tasks. NVIDIA provides a scalable compute infrastructure, ranging from a single GPU in workstations to server-scale end-to-end data centre solutions. NVIDIA's presence in the market is undisputed. In addition to hardware for parallel procession, NVIDIA provides a cloud based end to end accelerated stack of software, which includes CUDA, CUDA X libraries, drivers, frameworks and much more. GPU-accelerated computing is helping to solve some of the most complex problems in the world. The AI stack is cutting edge, and it’s evolving all the time, leading to the requirement of a large amount of work to set up and