Nvidia
Nitish Garg is a System Software Engineer at NVIDIA, having joined in December 2022. Prior to this role, Nitish worked as a Software Engineer at Interra Systems from January 2020 to December 2022, and also served as a Software Engineer Intern. Earlier experience includes a summer internship at the Centre for Development of Advanced Computing in June 2018, where hands-on training was received on various machine learning algorithms and their implementation in RStudio. Nitish completed a Bachelor's degree in Electrical, Electronics and Communications Engineering from Thapar Institute of Engineering & Technology, graduating in 2020.
This person is not in any teams
This person is not in any offices
Nvidia
683 followers
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.