Nvidia’s market capitalization crossed $5 trillion for the first time in history on Monday after shares of the chipmaker rose 3.2 percent to close at $2,041, a milestone that surpasses Apple’s previous all-time peak market capitalization and establishes Nvidia as the most valuable publicly traded company the global stock market has ever produced. The achievement, which would have seemed almost impossibly speculative as recently as 2022 when Nvidia’s market cap briefly dipped below $300 billion during the post-pandemic market correction, reflects the extraordinary commercial success of Nvidia’s data center GPU business as the foundational infrastructure supplier for the artificial intelligence industry.

The company’s ascent from semiconductor manufacturer to the most valuable company in human financial history has been driven by a single extraordinary product cycle: the H100 and subsequent H200 and B100 and B200 GPU architectures that have become the de facto standard computing substrate for training and running large AI models. Every major AI lab – OpenAI, Google DeepMind, Anthropic, Meta AI, xAI – runs its training infrastructure predominantly on Nvidia hardware, and the hyperscale cloud providers including Amazon Web Services, Microsoft Azure, and Google Cloud have spent hundreds of billions of dollars in aggregate procuring Nvidia GPUs to meet enterprise demand for AI compute. CNBC reported that Nvidia’s data center revenue grew 122 percent year-over-year in its most recent fiscal year, generating approximately $110 billion from that segment alone.

CEO Jensen Huang, who founded Nvidia in 1993 and holds approximately 3.5 percent of the company’s shares – a stake now worth approximately $175 billion – has become one of the most celebrated figures in the technology industry and is frequently cited by analysts and fellow executives as the most consequential technology strategist of his generation. Huang’s decision in the early 2010s to pivot Nvidia’s GPU architecture toward general-purpose parallel computing, which at the time was primarily used for scientific simulation and cryptocurrency mining rather than AI, positioned the company to capture virtually the entire economic value of the AI training infrastructure buildout that began in earnest around 2022. Bloomberg described the bet as “perhaps the greatest capital allocation decision in the history of the technology industry.”

The $5 trillion milestone comes despite ongoing competition from rivals including AMD, which has made meaningful inroads in AI compute with its Instinct MI300X GPU, Intel’s Gaudi accelerator family, and a growing ecosystem of custom silicon from Google (TPUs), Amazon (Trainium), Microsoft (Maia), and Meta. Nvidia’s market share in AI training compute remains above 80 percent by most estimates, and analysts from Wired‘s technology team cited Nvidia’s CUDA software ecosystem – which has been developed over 18 years and on which the vast majority of AI researchers and engineers have built their workflows – as the most durable competitive moat in the company’s arsenal, one that silicon performance alone cannot easily dislodge.

Nvidia’s shares have returned approximately 28,000 percent since the beginning of 2020, a performance that has made it the single largest contributor to gains in the S&P 500 and Nasdaq indices over that period and created extraordinary wealth for long-term shareholders. The company has become a meaningful component of virtually every major passive index fund and is now the largest or second-largest position in most technology-focused investment portfolios globally.