A couple days ago NVIDIA’s market cap briefly reached the 2 trillion dollar mark. While I have mentioned NVIDIA in this podcast before during our episode about Meta, IBM, and the AI Alliance, I believe it’s time to dedicate an entire episode to the self-described “World Leader in Artificial Intelligence Computing”. This is everything you need to know about NVIDIA in less than three minutes. What’s NVIDIA? NVIDIA is an multinational American company that does many things: for example NVIDIA RTX™ uses AI and ray tracing technologies to generate graphics, NVIDIA Omniverse™ is used to power Metaverse applications, they have a digital Earth 2 — more on that in another episode, and their technologies are used in many fields from astrophysics to genomics. They sell hardware for everything from video gaming to crypto mining to autonomous vehicles. But their technology that has been a point of discussion here on The Old and The New has been their AI chips and systems, which have been a key player in the AI industry. NVIDIA’s current stronghold over the AI market isn’t just due to their chips though. They also sell software which is used to train AI systems. In fact, it is this combination of hardware and software that is making it very hard for NVIDIA’s competitors to catch up and is why NVIDIA’s stock seems to keep on rising. In fact, a couple days ago the company's market cap hit $2 trillion which makes it one of the five most valuable companies in the world as of the time of writing this. In order for competitors like Intel and AMD to catch up, not only would they need to match the quality of NVIDIA’s chips, but also provide the software needed to train the artificial intelligence systems. And considering the learning curve required to understand how to operate this software, and considering that every company would provide software that's different from each other, NVIDIA's competitors may not only need to meet, but to exceed the standards set by NVIDIA in order to convince clients to use their products instead. As Don Clark writes for the New York Times, “Over more than 10 years, Nvidia has built a nearly impregnable lead in producing chips that can perform complex A.I. tasks like image, facial and speech recognition, as well as generating text for chatbots like ChatGPT.” But it must be noted that there are some industry experts who claim that this is just a bubble, which will burst once their competitors catch up. That was everything about Nvidia in less than three minutes. Thank you for listening to The Old and the New and see you next episode.