As Nvidia prepares for next week’s flagship GTC conference, Wall Street analysts are reiterating their bullish stance on the chipmaker. Nvidia’s annual GPU Tech Conference (GTC) will be held from March 16th to March 19th in San Jose, California. Trust Securities analyst William Stein, who called the event the “Super Bowl of AI,” expects the company to share predictions about future supply and demand dynamics, backlog, and market growth opportunities. Stein and other Wall Street analysts are also looking forward to hearing about the company’s new and expanding AI portfolio, which includes models and businesses. Wall Street shops also expect this event to be a tailwind for Nvidia stock. “We believe GTC will be a positive catalyst for NVDA as we look forward to management demonstrating that supply, production and demand are all aligned to support continued growth in the near to medium term,” Stein wrote. UBS analyst Timothy Arcuri added: “While we see an upside bias in the stock from this event, it is unlikely that NVDA will be able to provide any comments that change the theory behind the stock’s breakout, but there is no doubt that the company is expressing some confidence in its system’s scalability, networking leadership, and the durability of its AI capital investment.” Nvidia stock has been hit by this year’s broader tech selloff, with the stock set to decline less than 1% in 2026. However, over the past 12 months, the stock price has increased 73%. NVDA 1Y Mountain NVDA 1Y Chart Bottom line, the analyst maintained a Buy rating ahead of next week’s conference. Here’s what Wall Street is saying. UBS: Buy rating, price target $245. Bank’s forecast suggests 34% upside. “We expect NVDA to address key discussions and provide significant roadmap updates. We expect the event to bias the stock upwards, but while it is unlikely that NVDA will provide theory-changing comments that create a break in the stock price, we do see the company demonstrating some confidence in its system scalability, networking leadership, and the durability of its AI capex. We expect C2027E/2028E We maintain our EPS estimates at ~$13/~$15. Current prices suggest that C2028E’s 12x P/E multiple is seemingly unsustainable. Mizuho: Outperform, $275 Mizuho’s price target equates to ~51% upside. “At GTC, we believe NVDA can dig deeper into: 1) potential new Groq-based inference chips, 2) NVDA’s optical/networking roadmap with CPO (co-packaged optics) (+ve LITE) and Quantum and NVQLink/CUDA-Q, 3) ICMSP (Inference Contextual Memory Storage Platform) storage, 4) performance metrics, CPX and Kyber. Rubin, including Rack, and 5) 800V architecture moves into 2027E with Rubin Ultra” Trust Securities: Buy, $283 Stein’s price target is about 55% above Monday’s closing price for Nvidia stock. “We look forward to updates on supply, demand, market growth, current and emerging semiconductor/computer/rack technology trends, software, and emerging AI models and businesses. Management indicates that supply, production, and demand are all aligned to support continued growth in the near to medium term. We expect GTC to be a positive catalyst for NVDA. We expect architectural commentary to be positive for TTMI (buy) and optical components, but potentially negative for connectors APH (buy) and TEL (hold).” Bank of America: Buy, $300 Banks’ price target suggests NVIDIA stock could rise 64%. “We are focused on three key areas: 1) an updated product pipeline with Feynman GPUs (2028), 2) a wide range of co-designed (customized) and segmented new products (i.e. CPX for inference prefills, LPUs for low-latency decoding – see the latest AI inference primer and AI CPU primer), and 3) unique optics at scale-up (CPO). Additionally, while we do not have formal sales forecasts for 2027-2028, any color on the Rubin lamp (CY27-28) could help the currently depressed stock price (17x trailing price), given Blackwell’s strong rise in cumulative sales of $0.5 trillion.” Melius Research: Buy, $380. We’re looking at a 108% jump from here. “Given recent incredible advances in AI, as Jensen Huang prepares for the big GTC show in San Jose next week, it’s important to address what will be the ‘elephant in the room.’ That elephant is that the true AI TAM (Total Addressable Market) is the workforce, all of which amount to $60 trillion worldwide. Indeed, Jensen has the incredible reasoning and training to drive ahead of Nvidia. “His biggest challenge will be convincing investors that 2027 to 2029 is a year of rapid growth to overcome a variety of shortages, from power to components to free cash flow for major customers.” This effort increases the value of the enterprise and consumes large amounts of computing, even if constraints sometimes impact growth. ”
