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Nvidia’s (NVDA) AI Strategy Impresses Analysts after $1T Revenue Target Emerges
Chipmaker Nvidia (NVDA) introduced several new technologies and partnerships at its annual GTC conference. Notably, analysts say that the announcements could strengthen the company’s leadership in AI inference, which is when a trained AI model analyzes new data to make decisions. Indeed, analysts at Bernstein kept their Buy rating and $300 price target after saying that Nvidia’s roadmap remains strong and its technology advantage continues to widen. In addition, CEO Jensen Huang said that the firm’s revenue is likely to double to $1 trillion by 2027.
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According to five-star Bernstein analyst Stacy Rasgon, Nvidia CFO Colette Kress confirmed that the $1 trillion estimate only includes Blackwell and Rubin chips along with networking products. It does not include other potential revenue sources such as Groq LPUs, CPX systems, or CPU racks. Because of this, analysts believe Nvidia’s data center revenue could ultimately exceed the $1 trillion target and come in well above current market expectations.
Have high conviction in NVDA? Leverage your view
Separately, analysts at Morgan Stanley (MS) and Citigroup © are also confident in Nvidia’s outlook. For instance, Morgan Stanley reiterated its Buy rating and kept Nvidia as its top semiconductor pick after saying that the company’s combined hardware and software platform gives it a strong advantage as AI workloads grow. Meanwhile, Citi maintained its Buy rating and $300 price target because Nvidia continues to innovate faster than competitors.
What Is a Good Price for NVDA?
Turning to Wall Street, analysts have a Strong Buy consensus rating on Nvidia stock based on 39 Buys, one Hold, and zero Sells assigned in the past three months, as indicated by the graphic below. Furthermore, the average Nvidia price target of $274.46 per share implies 50.5% upside potential.
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