
Nvidia's market value and stock performance have seen a remarkable increase over the past year. The company's share price has soared roughly 240% over the last 12 months, pushing its market cap to approximately $1.96 trillion. This growth has made Nvidia the fourth-most valuable company in the world. The surge in Nvidia's stock price can be attributed to the increasing demand for artificial intelligence (AI) and the company's strong position in the AI chip market.
In the last fiscal year, Nvidia's data center revenue reached $47.5 billion, driven by the demand for its H100 graphics processing unit (GPU). This accounted for 78% of the company's total revenue. The company's recent focus on designing GPUs for data centers has significantly contributed to its growth and reshaped its business.
Nvidia's success in the AI market has led to a doubling of its stock price this year, following a tripling in 2023. This has made it the third most valuable company in the S&P 500. The company's revenue more than tripled in the latest quarter from the same period a year earlier, and Wall Street expects Nvidia to bring in revenue of $117 billion in fiscal 2025.
In summary, Nvidia's market value and stock performance have increased dramatically over the past year due to its strong position in the AI chip market and the growing demand for AI technologies.

Jensen Huang, the CEO of Nvidia, has been compared to a rock star in the tech industry due to several achievements. Under his leadership, Nvidia has become one of the leading providers of graphics processing units (GPUs) and has taken center stage in the current artificial intelligence (AI) boom5. Nvidia's GPUs have been highly sought-after for their unparalleled computing power and ability to power AI applications.
Huang's vision and innovative spirit have significantly contributed to Nvidia's incredible journey and achievements. Fast Company magazine recognized Nvidia as the world's most innovative company, a testament to the persistent efforts and constant drive towards innovation displayed by Huang and his team. Additionally, Huang's induction into the U.S. National Academy of Engineering showcases his influence and leadership within the industry.
Furthermore, Huang has been at the forefront of a technology boom, with Nvidia's emergence as the leading designer of AI chips. Nvidia's success has been a boost for companies like Taiwanese chipmaking giant TSMC, whose shares hit a record high due to their partnership with Nvidia. The firm's shares have gone up by more than 200% over the last year, catapulting it into tech stardom as AI and the chips that power it become as cool as any fancy new gadget.
Huang's charismatic personality, combined with Nvidia's remarkable achievements in the tech industry, has led to a "Jensanity" phenomenon, with people chanting his name and scrambling for selfies and autographs wherever he goes. His new-found status was on full display at Computex in Taiwan, where he posed for countless pictures and even signed a woman's top.
Jensen Huang's specific achievements, including his leadership at Nvidia, his role in the AI chip industry, and his ability to create excitement and enthusiasm around his persona, have led to him being compared to a rock star in the tech industry.

Nvidia plays a crucial role in the AI industry by designing high-performance graphics processing units (GPUs) optimized for AI computations4. These GPUs are widely used in various AI applications, including training deep learning models4. Nvidia's technology and hardware have become an integral part of the AI ecosystem, enabling developers and researchers to build cutting-edge solutions across various industries.
Nvidia's GPUs are known for their high performance and efficiency, making them a popular choice among AI developers and researchers. The company's CUDA platform and libraries further enhance the performance of their GPUs, allowing for more efficient AI computations.
In comparison to competitors like AMD and Intel, Nvidia has a significant market share in the AI industry6. Nvidia's focus on developing GPUs specifically for AI applications has given them an edge over their competitors. While AMD and Intel have also developed GPUs for AI, Nvidia's offerings are generally considered to be more optimized for AI tasks. Additionally, Nvidia's strong partnerships with leading AI companies and researchers further solidify their position in the market.
However, it is worth noting that competitors like AMD and Intel are continuously working to improve their AI offerings and catch up to Nvidia's market share6. The AI industry is highly competitive, and companies are constantly innovating to stay ahead.