NVIDIA: From Gaming Giant to AI Titan (A Deep Dive)

About the Video

Find out how this chip maker became an AI superpower

๐ŸŸข[๐—ฆ๐—ต๐—ฎ๐—ฟ๐—ถ๐—ฎ๐—ต ๐—–๐—ผ๐—บ๐—ฝ๐—น๐—ถ๐—ฎ๐—ป๐˜] ๐—š๐—ฒ๐˜ ๐—™๐—ฅ๐—˜๐—˜ ๐—ฅ๐—ฒ๐˜„๐—ฎ๐—ฟ๐—ฑ๐˜€ ๐—ผ๐—ป ๐— +๐—š๐—น๐—ผ๐—ฏ๐—ฎ๐—น (๐˜„๐—ถ๐˜๐—ต ๐—บ๐˜† ๐—œ๐—ป๐˜ƒ๐—ถ๐˜๐—ฒ ๐—–๐—ผ๐—ฑ๐—ฒ= ๐—–๐Ÿฑ๐Ÿฎ๐—ž) โžก๏ธ Register Here

๐—š๐—ฒ๐˜ ๐Ÿ” ๐ฌ๐ก๐š๐ซ๐ž๐ฌ ๐จ๐Ÿ ๐†๐‘๐€๐ ๐Ÿ๐จ๐ซ ๐—™๐—ฅ๐—˜๐—˜ ๐—ผ๐—ป ๐— +๐—š๐—น๐—ผ๐—ฏ๐—ฎ๐—น ๐จ๐ง ๐‘๐Œ ๐Ÿ,๐ŸŽ๐ŸŽ๐ŸŽ ๐๐ž๐ฉ๐จ๐ฌ๐ข๐ญ ๐›๐ฒ ๐Ÿ‘๐ŸŽ ๐๐จ๐ฏ ๐Ÿ๐ŸŽ๐Ÿ๐Ÿ‘ (๐‘๐Œ๐Ÿ,๐ŸŽ๐ŸŽ๐ŸŽ ๐ฌ๐ญ๐š๐ซ๐ญ๐ข๐ง๐  ๐ƒ๐ž๐œ ๐Ÿ๐Ÿ‘!)

โœ‰๏ธ Free bi-weekly newsletter on all things finance โžก๏ธ https://www.ziet.co/newsletter/

โฌ‡๏ธ Timestamps:
0:00 โ†’ Introduction
0:42 โ†’ Their Early Years
4:08 โ†’ NVIDIA’s Role in AI
5:57 โ†’ How long can NVIDIA’s AI dominance last?

NVIDIA, founded in 1993 by Jensen Huang, Chris Malachowsky, and Curtis Priem, embarked on its journey as a chipmaker company specializing in the graphics processing unit (GPU) market. Its primary focus was on developing high-performance GPUs that significantly enhanced the gaming experience, leading to their first big break with the launch of the “GeForce” in 1999. The GeForce GPUs quickly gained a reputation for their superior 3D graphics performance, propelling NVIDIA to the forefront of the gaming and professional visualization markets. This period of NVIDIA’s growth laid the foundation for their transition into an AI powerhouse.

With the advent of the Big Data era in the early 2010s, NVIDIA saw an opportunity to leverage their expertise in parallel computing โ€” a forte of GPUs โ€” to address the computational demands of processing vast amounts of data. Their GPUs were not only capable of rendering complex video game graphics but also proved to be excellent at performing the calculations necessary for machine learning and artificial intelligence applications.

The turning point came in 2012 when a research team from the University of Toronto, led by Alex Krizhevsky, used NVIDIA GPUs to train a deep learning model, which significantly outperformed all other models in the ImageNet competition. This event marked a significant milestone in the AI community and demonstrated the immense potential of GPUs for AI computations.

Recognizing the opportunity, NVIDIA started investing heavily in AI, tailoring their GPUs for AI workloads, developing AI-specific hardware like the Tensor Cores, and creating software development kits and deep learning libraries like CUDA and cuDNN to help developers leverage their hardware. NVIDIAโ€™s push into AI also extended to industries like autonomous vehicles, robotics, and data centers, showing the world the transformative potential of AI across multiple sectors.

Today, NVIDIA stands as a global powerhouse in AI, transforming industries and redefining modern computing. And as we speak, they have already past the $1 trillion market capitalization mark, a milestone reached by just a handful of companies including Apple, Amazon, and Microsoft.

โ—๏ธUSEFUL LINKSโ—๏ธ
โœ…Full M+Global Playlist๐Ÿ‘‡๐Ÿป
โ€ข M+Global

โœ…Beginner’s Step-By-Step Playlist to Start Investing ๐Ÿ‘‡๐Ÿป
โ€ข Beginner’s Guide to Investing

โœ…Start Investing in the U.S. market now!๐Ÿ‘‡๐Ÿป
โ€ข Investing in the US market

โœ…Exchange-Traded Funds (ETFs) Playlist ๐Ÿ‘‡๐Ÿป
โ€ข Exchange-Traded Funds (ETFs)

โœ…๐ŸŽฅAll the gears that I use to make my YouTube videos: https://kit.co/Ziet/youtube-gears

Disclaimer: The content on this channel is for educational purposes only and merely cites my own personal opinions. In order to make the best financial decision that suits your own needs, you must conduct your own research and seek the advice of a licensed financial advisor if necessary