The new pinnacle of AI! A giant wave of AI infrastructure is sweeping in, and this institution is betting on NVIDIA to break a $7 trillion market value

According to the Zhitong Finance APP, "AI chip giant" NVIDIA (NVDA.US) shows no signs of slowing down in its comprehensive dominance of the trillion-dollar artificial intelligence computing infrastructure construction. This has prompted Wall Street financial giant Cantor Fitzgerald to reaffirm its "Top Pick" investment status for NVIDIA stock and its most optimistic rating of "Overweight," raising its target price for NVIDIA from $240 to Wall Street's highest target price of $300.

The latest target price of $300 implies that Cantor Fitzgerald believes NVIDIA's total market value is expected to exceed $7 trillion, and it suggests a potential increase of up to 55% in NVIDIA's stock price in the future. As of Thursday's market close, NVIDIA's stock price reached a new all-time high, closing up 1.83% at $192.570. Since the beginning of this year, NVIDIA's stock price has surged by 45%, significantly outperforming the S&P 500 index and the Nasdaq 100 index, with a market value hovering around $4.68 trillion, consistently ranking first in the global market value leaderboard.

With NVIDIA recently announcing a partnership with long-time competitor Intel and declaring an investment of up to $100 billion in AI leader OpenAI, both parties plan to jointly build a super AI data center with a computing scale of at least 10 gigawatts (GW). The "AI computing myth" surrounding NVIDIA has reached a climax since September.

Top institutions like Cantor Fitzgerald believe that NVIDIA will remain the core beneficiary of the trillion-dollar wave of AI spending. According to these top Wall Street institutions, the trend of NVIDIA's stock price repeatedly hitting new historical highs is far from over. Recently, Wall Street analysts have continuously raised their 12-month target price for NVIDIA, with the latest average target price indicating that NVIDIA's total market value will break the $5 trillion milestone within a year.

As the "highest market value company in the world," NVIDIA is regarded as the "leader" of the global AI computing industry chain. Therefore, both institutional and retail investors believe that NVIDIA's strong upward momentum, marked by new highs, signifies that the current "super bull market" in the global AI computing industry chain is far from over, and this sector will continue to be the most favored investment area for global funds in the near future.

Driven by the epic stock price surge and consistently strong performance of large tech giants like NVIDIA, Meta, Google, Oracle, TSMC, and Broadcom, as well as leaders in the AI computing industry chain, an unprecedented AI investment boom has swept through the U.S. stock market and global stock markets. This has propelled the S&P 500 index and the global benchmark index, the MSCI World Index, to significantly rise since April, with recent records of new historical highs.

Recently, the prices of high-performance DRAM and NAND series storage products have surged, and Oracle, a global cloud computing giant, recently reported a contract reserve that far exceeded market expectations at $455 billion. Additionally, Broadcom, the global AI ASIC chip "super giant," has recently announced strong performance and future outlook, significantly strengthening the "long-term bull market narrative" for AI GPU, ASIC, HBM, data center SSD storage systems, liquid cooling systems, and core power equipment in the AI computing infrastructure sector The demand for AI computing power driven by generative AI applications and AI agents can be described as "starry sea," and is expected to drive the artificial intelligence computing power infrastructure market to continue showing exponential growth. The "AI inference system" is also considered by Jensen Huang to be the largest source of future revenue for NVIDIA.

According to Wall Street financial giants Citigroup, Loop Capital, and Wedbush, the global investment wave in artificial intelligence infrastructure centered around AI computing hardware is far from over and is only at the beginning. Under the unprecedented "AI computing power demand storm," this round of AI investment is expected to reach between $2 trillion and $3 trillion. NVIDIA CEO Jensen Huang even predicts that by 2030, AI infrastructure spending will reach between $3 trillion and $4 trillion, and the scale and scope of these projects will bring significant long-term growth opportunities for NVIDIA.

Feel the shock brought by the "AI faith"! Wall Street sounds the new round of attack horn for NVIDIA's stock price

Earlier this week, another Wall Street investment firm, Melius Research, significantly raised its target price for NVIDIA from $240 to $275, ranking it as the second highest on Wall Street. In contrast, Goldman Sachs, known as the "flag bearer of the stock market bull market," has a more conservative target price, recently raising NVIDIA's target price from $200 to $210. Last month, Bank of America raised NVIDIA's target price from $220 to $235, while Barclays almost simultaneously raised NVIDIA's target price from $200 to $240.

On Thursday, during early trading in the U.S. stock market, NVIDIA's stock price rose more than 3%, reaching an intraday high of $195.30. The stock has doubled in the past six months.

$300—this seemingly astonishing new target price was given after the Cantor analyst team held a series of investor meetings with NVIDIA executives (including CEO Jensen Huang and CFO Colette Kress) this week. They focused on discussing the details of the newly established partnership with OpenAI.

"Our vision is to eliminate the layered profit stacking of server OEMs (ODM) and cloud service providers (CSP), so that the cost gap between NVIDIA and ASIC is only about 15% on average—this is truly a win-win for both sides and may also bring further profit pressure to the recently strong ASIC segment," wrote Cantor analysts led by C.J. Muse in Thursday's investor report.

"The company continues to conduct Extreme Co-Design at an annual pace to optimize the entire AI infrastructure supply chain—no major customer wants to buy NVIDIA AI chips alone; they want to deploy NVIDIA's Blackwell AI computing power system on a large scale, thanks to NVIDIA's full-stack solutions including CUDA-X," the Cantor analysts led by C.J. Muse stated The Cantor analyst team now expects that, based on the natural year or calendar year standard, NVIDIA's earnings per share will reach $8 in 2026, higher than the consensus expectation of $6.26 from Wall Street and the market; they anticipate it will reach $11 in 2027, while the market consensus is $7.37.

Cantor's analysts also pointed out that global demand for AI tokens has surged in recent months—especially in AI fine-tuning and inference—and stated that this demand is increasing "profit per token." For example, the usage of AI tokens in Google's flagship AI application—Gemini—has risen to 980 trillion times per month by June 2025, far exceeding 480 trillion times in April.

"OpenAI and other major platforms are currently achieving gross margins of 50% to 70%, leading to all available NVIDIA AI GPUs being fully booked," analyst Muse stated. "Customers are desperately searching for computing clusters wherever possible. More specifically, in the past 12 to 16 weeks, we have seen a significant turning point—this may be related to the super explosion of time-based reasoning and the surge in multimodal inputs led by Sora video."

The Cantor analyst team is also confident that the rapid and extremely widespread deployment of generative AI applications proves that this wave of AI is not a bubble in any sense.

"In the past 12 months, large global recommendation systems have adopted generative AI," Cantor analyst Muse pointed out. "For instance, search has migrated to generative AI. Social media has migrated to generative AI. Users are generating innovative content autonomously, and AI-based advertising recommendation engines are all shifting from traditional machine learning to generative AI. Just from the large-scale migration from traditional computing to generative AI, NVIDIA has seen up to $2 trillion in capital expenditure. We are absolutely not in a bubble; on the contrary, the market is beginning to recognize how 'high-quality' AI can deliver significant positive returns on investment."

The Cantor analyst team also predicts that the global AI infrastructure market size will reach $3 trillion to $4 trillion by 2030, a forecast that is largely consistent with NVIDIA CEO Jensen Huang's predictions