Citigroup Analysis: Is There Still 47% Upside for Nvidia? Can Rubin and CPO Deliver?

TL;DR
· Citigroup maintains a buy rating on Nvidia with a target price of $300, indicating about 47% upside from the closing price on July 8.
· Meeting notes state that AI demand remains strong, Rubin's roadmap is not significantly affected, and CPO has entered early production stages.
· The $100 billion per GW figure is not a direct revenue forecast; non-cloud demand, CPO adoption, and AI returns still need validation.

After communicating with Nvidia's investor relations team, Citigroup maintains its buy rating and $300 target price for Nvidia. Based on the closing price of $204.12 on July 8, this target price corresponds to about 47% potential upside. For a leading AI stock with a market capitalization approaching $5 trillion, market focus is not only on whether GPUs are still selling but also on whether AI capital expenditures can continue to convert into revenue, whether the next-generation platform will be delayed, how network and energy efficiency bottlenecks will be resolved, and whether high margins and buybacks can continue to support valuations. It is important to note that specific statements regarding Rubin, CPO, and revenue intensity per GW mainly come from Citigroup's meeting notes and are not part of Nvidia's official public disclosures.

Key data for Nvidia's buy rating. Closing price on July 8 was $204.12, target price is $300, expected return is about 47%, and market capitalization is approximately $4.94 trillion.

$300 Target Price Bets on Demand Stability

Citigroup's $300 target price is primarily based on growth expectations for the data center business. Its valuation approach indicates that the target price is based on earnings expectations for fiscal year 2027 and a valuation multiple close to Nvidia's average over the past three years. In other words, this judgment does not primarily rely on a higher valuation but rather bets on the potential for upward revisions in earnings scale.

The demand-side statements are relatively strong. Regarding the market's focus on Meta's cloud plans, Nvidia did not provide specific comments at the customer level but emphasized that overall demand remains strong, and the company's current focus is still on meeting customer needs.

The demand structure is also changing. In the past, AI infrastructure deployments were mainly led by hyperscale cloud vendors, but over the past two years, demand for AI labs, sovereign nations, and enterprise local deployments has increased. The judgment in the meeting notes is that as