Nvidia’s AI story is moving into a different phase. The question is no longer simply whether companies want more computing power. Nvidia is selling chips and data-center systems so quickly that supply, infrastructure and financing are becoming just as important as demand.
That helps explain why Raymond James analyst Simon Leopold just raised his Nvidia (NASDAQ: NVDA) price target to $515, a level that would put the company’s market value in the neighborhood of $12.4 trillion. For investors, the eye-popping number is less important than what would have to happen for Nvidia to get there. Revenue growth would need to remain extraordinary, supply constraints would have to ease, and hundreds of billions of dollars being poured into AI infrastructure would eventually need to produce economic returns for Nvidia’s customers.
What Raymond James’ $515 Target Really Means
Raymond James analyst Simon Leopold raised his Nvidia price target to $515 from $352 on Aug. 27 while maintaining a Strong Buy rating. The move came just two days after he had raised the target from $330 to $352, underscoring how quickly expectations changed after Nvidia’s latest earnings report. Using the company’s roughly 24.2 billion shares outstanding reported in May, a $515 stock price would imply a market value of about $12.5 trillion, so the widely cited $12.4 trillion figure is a reasonable approximation.
The upside depends heavily on the stock price used as the starting point. Nvidia closed Aug. 26 at $209.66, which means $515 would be about 146% above that closing price. Shares moved sharply higher the next morning, so that percentage changes with the market. That is worth remembering when investors see a huge “upside” figure attached to an analyst target. The $515 figure is an analyst estimate, not Nvidia guidance, and reaching it would require the company to keep turning extraordinary AI demand into earnings at an equally unusual scale.
Nvidia’s Latest Numbers Explain the Optimism
The latest results explain why Wall Street is willing to entertain numbers that once would have sounded unrealistic. Nvidia reported $96.2 billion in fiscal 2027 second-quarter revenue, up 106% from a year earlier. Data Center revenue reached $89.0 billion, up 117%. Management also guided fiscal third-quarter revenue to $108 billion, plus or minus 2%, even though its outlook assumes no Data Center compute revenue from China.
The longer-term outlook is even more important. On the earnings call, CFO Colette Kress said Nvidia expects roughly 70% revenue growth in fiscal 2028 despite supply constraints. That is a forward-looking estimate, not a guarantee, but it changes the debate. Nvidia generated $215.9 billion of revenue in fiscal 2026. If growth remains anywhere near management’s current trajectory, the company could become dramatically larger before today’s valuation has time to look ordinary. The risk is that investors are already paying for a great deal of that future success.
The Supply Bottleneck Cuts Both Ways
The bullish case is not simply that companies want more GPUs. Nvidia says the bigger near-term problem is getting enough components and infrastructure in place to satisfy demand. That distinction matters because weak demand and limited supply produce very different investment stories. In the first case, customers are pulling back. In the second, Nvidia may have sales it cannot yet capture because the hardware cannot be delivered fast enough.
Supply constraints can support pricing power and revenue visibility, but they are not automatically good news. Memory costs, manufacturing capacity, networking equipment, power availability, data-center construction and execution all have to line up. Nvidia has also warned that higher memory costs could pressure gross margins. For long-term shareholders, especially retirees who may be less comfortable with large swings in a single stock, the question is not just how much demand exists. It is whether Nvidia can convert that demand into durable profits without margins, capital needs or competitive pressure moving against it.
Nvidia’s Financing Role Is the Risk to Watch
Nvidia’s role in financing the AI buildout deserves attention, but it needs to be described precisely. OpenAI announced a $110 billion funding round in February that included a $30 billion investment from Nvidia. In January, Nvidia invested $2 billion in CoreWeave, which plans to build more than 5 gigawatts of AI infrastructure by 2030. Nvidia also announced partnerships with Apollo, BlackRock, Blackstone, Brookfield, Goldman Sachs and KKR in August to create independent financing platforms intended to mobilize more than $500 billion of third-party capital for AI infrastructure over time.
Those arrangements do not mean Nvidia is simply buying its own revenue, and the $500 billion is not Nvidia’s own check. But they do make the ecosystem more interconnected. Capital from Nvidia and outside investors can help customers expand infrastructure that relies heavily on Nvidia technology. That can strengthen the growth cycle when AI demand is productive, but it also raises the stakes if customers eventually discover they built more capacity than they can profitably use. The $515 target is possible only if the AI spending boom keeps translating into real economic demand, not just more infrastructure spending.