Nvidia has just written its name in history by becoming the first company to cross $5,000 billion in market capitalization, ahead of Apple, Microsoft and Amazon. This record is not just a financial achievement. It reflects a changing era, where artificial intelligence, supercomputers and cloud infrastructure are reshaping the balance of power in global tech.
In brief
- Nvidia becomes the first company in the world to reach a market capitalization of $5 trillion.
- This historic performance comes after a 5% increase in the stock, driven by announcements from the GTC Event in Washington.
- The company plans to build seven supercomputers, including one equipped with 10,000 Blackwell GPUs, in partnership with the US Department of Energy.
- Nvidia's current trajectory could ultimately transform access to computing power, and redefine Web3 infrastructures.
A march towards the stock market summits driven by artificial intelligence
After reaching $4.68 trillion, thanks to the demand for AI and its global expansion, Nvidia officially reached a new historic milestone on October 29. Indeed, the tech giant becomes the first company in history to reach a market capitalization of $5,000 billion.
This record was reached after a 5% increase in the stock in one day, following the GTC Event held in Washington DC. This meteoric rise is based on a series of major announcements, detailed by Jensen Huang, CEO of the group.
He said in particular that the company would work with the United States Department of Energy to build seven new supercomputers, one of which will exploit “10,000 Blackwell GPUs”.
Among the most notable announcements presented during this event, we find:
- National-scale projects, with the development of 7 supercomputers, partly managed by the American government;
- Strategic industry partnerships, including with Uber, Eli Lilly, Nokia, Palantir, Oracle, Cisco and T-Mobile;
- Affirmed financial ambitions, with a forecast of “$500 billion in GPU sales by the end of 2026”according to Jensen Huang.
Nvidia thus consolidates its central position in the global technological ecosystem, by positioning itself as a key supplier of artificial intelligence infrastructure on an industrial scale.
This dynamic, fueled by growth of more than 50% in the stock since the start of the year and a doubling of the price since April, confirms the group's hegemony in the new intensive computing economy.
For Jensen Huang, the “AI factories” that Nvidia is building are nothing less than the engine of a new industrial revolution, the impact of which could exceed that of previous technological cycles.
Towards an inevitable convergence between AI and tokenization?
If the GTC Event mainly highlighted industrial and technological initiatives, certain indirect signals caught the attention of analysts, particularly in the crypto ecosystem.
Indeed, Nvidia could invest up to $100 billion in OpenAI, one of its key partners. This information takes on another dimension when we know that OpenAI is actively exploring economic models based on the tokenization of computing power, notably via “compute credits” usable in its APIs.
If Nvidia does not explicitly mention blockchain, this strategic orientation reveals a possible indirect involvement in tokenized systems linked to the allocation of GPU resources.
At the same time, Nvidia revealed a new open architecture, NVQLink, intended to accelerate the development of quantum supercomputers. This project, carried out with players like Rigetti and IonQ, could benefit in the medium term from decentralized allocation mechanisms, a logic already explored by several Web3 projects like Render Network or Gensyn, which aim to tokenize GPU computing power to make it accessible in a fluid and decentralized manner.
If Nvidia has not publicly positioned itself in this area, its technological monopoly de facto places the company at the heart of discussions on tokenized AI infrastructure.
In the longer term, this strategic orientation raises major questions. Could Nvidia, one day, issue or support a token for access to its infrastructures? Would we see the emergence of a secondary market for computing power backed by its GPUs, as some predict for blockchains like Ethereum or Solana? For now, these scenarios are speculation. However, Nvidia's current trajectory, both financial and technological, confirms that the boundaries between AI, cloud, Web3 infrastructure, and blockchain are becoming increasingly porous.
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