Nvidia
Nitin is a seasoned professional with extensive experience in deep learning and hardware engineering, currently serving as Manager and Team Lead of DL Training Performance at NVIDIA since May 2017, where leadership encompasses training performance optimizations for diverse deep learning workloads in BigNLP, Recsys, Automotive, and Research. Prior roles include Senior Deep Learning Architect at NVIDIA, focusing on MLPerf training performance analysis and optimization for Minigo and automotive DL workloads, and Graduate Research Assistant at Purdue University. Nitin also contributed as a Big Data Analytics Development Engineer at Teradata Aster, developing analytics functions for SQL-MapReduce. Earlier experience at NVIDIA as an ASIC Hardware Engineer involved the development of verification infrastructure for chipsets. Nitin holds a PhD in Electrical and Computer Engineering from Purdue University and a B.Tech. in Electrical Engineering from the Indian Institute of Technology, Kanpur.
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Nvidia
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NVIDIA has pioneered accelerated computing to tackle challenges that otherwise can’t be solved. Their work in AI and computer graphics is transforming industries valued at more than $100 trillion, from gaming to healthcare to transportation, and profoundly impacting society. NVIDIA is a place where scientists, artists, creators, and adventurers can do their life’s work. They take on tough problems where they can shape the world for the better, and where they can make a unique contribution. This has guided them into incredibly powerful technological forces and across the world’s largest and most important industries. They are well-known for their RTX and AI technologies more specifically. RTX is everywhere. More than 250 games and apps now use RTX to deliver stunning ray-traced graphics—including AAA blockbusters like Cyberpunk 2077, and digital creation apps like Autodesk 3ds Max, Blender, and the Epic Games' Unreal Engine. NVIDIA GeForce 30 Series GPUs deliver unmatched performance, from high-end rigs to incredibly thin and light laptops. As companies process mountains of data to train and refine AI models, their data centers are essentially becoming AI factories. A whole new type of data center has emerged because of AI. Most recently, NVIDIA unveiled a giant wave of products: the new Hopper GPU and Grace CPU Superchip, new networking technology, new systems, and new software products to power next-generation data centers. AI is the most powerful technology force the world has ever known. NVIDIA AI brings together computer vision, conversational AI, recommender systems, avatars, robotics, and autonomous vehicles. These AI skills are state of the art, trained to be used in production, and used by more than 25,000 companies today.