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Working with DATA for over 20 + years, defining where and how to store, process and analyze data. I have led large distributed teams for delivery including architecture, project management, supported entire US territory with pre-sales activities, POC's and demo. I present in various meetups and led roadshows focused on machine learning, deep learning & data science practice. I also help clients by defining cloud roadmap and hybrid architecture strategy for their enterprise. My passion is to assist organizations in choosing the right technology and architecture for the future and build the winning team. My biggest asset is my communication skill and my ability to lead teams as I love to work and play with humans (not robots yet).
Outline: How GPU is changing the computational world
. Highlight on GPU being part of HPC computing, Summit ( world's fastest supercomputer) - Infrastructure for AI, why ML/DL needs GPU - matrix/vector computation, more cores than CPU
Talk about Software stack: Rapids, Snap ML, H20, SQream, etc. software stack that has emerged to leverage GPU