As the “AI Chip Champion,” Nvidia remains unstoppable in dominating the construction of global artificial intelligence computing infrastructure. This robust trend has prompted Wall Street financial giant Cantor Fitzgerald to once again reaffirm Nvidia stock as the “top pick” investment and maintain an “Overweight” rating, the highest possible. More notably, the institution has significantly raised Nvidia’s target stock price from $240 to $300, setting the highest current expectation on Wall Street. This new target price implies that, in Cantor Fitzgerald’s view, Nvidia’s total market capitalization is expected to surpass $7 trillion, representing a potential stock price increase of up to 55%.
Amid widespread market optimism, Nvidia’s stock price continues to strengthen. As of the most recent trading day, its stock price closed up 1.83% at $192.570, once again setting a new historical record. Looking at the year-to-date performance, Nvidia’s stock price has accumulated a gain of 45%, far exceeding the gains of the S&P 500 and Nasdaq 100 indices. Its market capitalization hovers around $4.68 trillion, consistently holding the top spot globally. Wall Street analysts have also been continuously raising their target prices recently. The latest average expectations indicate that Nvidia’s market capitalization is expected to surpass the $5 trillion milestone within 12 months.
Nvidia’s “AI Computing Power Myth” recently entered a new climax. The company first announced a collaboration with long-term competitor Intel and then plans to invest up to $100 billion in AI leader OpenAI. Together, they aim to build a super AI data center with a computing power scale of at least 10 gigawatts. These initiatives further consolidate its core position in the industry. In the view of top Wall Street institutions like Cantor, Nvidia is undoubtedly the primary beneficiary of future trillions of dollars in AI spending. Its CEO, Jensen Huang, even predicts that by 2030, global AI infrastructure spending will reach a staggering $3 to $4 trillion, presenting long-term, significant growth opportunities for Nvidia.
As the “pivotal player” in the global AI computing power industry chain, Nvidia’s strong rally has driven prosperity across the entire sector. Led by the epic stock prices and performances of tech giants like Meta, Google, Oracle, TSMC, and Broadcom, an unprecedented AI investment frenzy has swept through global stock markets. This force has propelled the S&P 500 and MSCI World indices to continue their upward trajectory since April, repeatedly hitting new highs. Meanwhile, the significant rise in global high-performance memory product prices, along with the far-exceeded expectations for performance and contract reserves from companies like Oracle and Broadcom, have greatly strengthened the “long-term bull narrative” for the entire computing infrastructure sector, spanning from AI GPUs and ASIC chips to HBM and liquid cooling systems.
Cantor’s analyst team provided the core rationale for the $300 price target after holding an investor meeting with Nvidia’s executives. They pointed out that the computing power demand on the inference side, driven by generative AI applications and AI agents, is akin to a “vast ocean,” pushing the market into exponential growth. For instance, the usage of AI tokens for Google’s Gemini has doubled in a short period. The team, led by analyst C.J. Muse, emphasized: “All available Nvidia AI GPUs are fully booked, and customers are desperately seeking computing clusters wherever possible.”
Furthermore, Nvidia, with its full-stack solution ranging from hardware to CUDA-X software, has built an extremely deep ecosystem moat. Analysts noted that no major client wants to purchase just a single AI chip; what they aim to deploy on a large scale is Nvidia’s complete Blackwell AI computing system. This “ultimate co-design” optimizes the entire AI infrastructure supply chain, reducing the cost gap between the company and ASIC chips to only about 15%, creating a win-win situation while also putting pressure on competitors’ profitability.
