Recently, NVIDIA has once again caught fire, and impacting a trillion market cap is only a matter of time. Since its listing, it has increased by 470 times, a 133-fold increase in the past decade. One cannot help but admire that seizing the opportunity can change one's life path, achieving class leaps. In order to further understand what kind of company NVIDIA is, understand its business model, core logic, and hence this article.
When it comes to NVIDIA, one cannot ignore its gaming graphics cards. NVIDIA's graphics cards (chips) have long been more than just for gaming, now people use them for deep learning, autonomous driving, and AI computing.
Looking back at NVIDIA's various GTC conferences, they always leave a certain impression.AI computing, metaverse, bitcoin, cloud computing, NVIDIA is always at the forefront each time, never absent from the trend.They never miss out.
Take ChatGPT for example, not only did it boost the AI chip market, but it also brought NVIDIA great success. Internet technology giants are all busy placing orders with NVIDIA, gearing up for the AI large model arms race.
From being a specialized gaming graphics card company, it has skyrocketed to become the leader of the artificial intelligence era.Why can NVIDIA stand at the forefront of the era, what is its underlying logic?
From the king of graphics cards to the dominant force in AI chips.
1. Starting from the counterattack of graphics cards.
In the gaming world, NVIDIA was hailed as the "king of graphics cards," almost synonymous with high-end graphics cards. Its founder and CEO, Huang Renxun, is known as the "leather jacket swordsman" and the "father of graphics cards" among gamers.However, Huang Renxun's journey in the graphics card business was not smooth, but full of twists and turns. In 1993, Huang Renxun, a technical background, co-founded NVIDIA with two like-minded engineers, aiming to become the leader in computer graphics processing. However, in the early days of entrepreneurship, the first product created by Huang Renxun and his team after two years ended in failure.。
How did NVIDIA, which grew 133 times in 10 years, come into being? (In-depth article)