Nvidia shares fell slightly on Tuesday, even as broader investor confidence in demand for artificial intelligence remained intact, and the stock remained near record highs.
Shares of the chipmaker were down about 1.2% in afternoon trading, despite a recent rally that has seen the stock gain about 15% over the past month. Nvidia is now approaching its closing record, just above $207, reached last October.
The modest decline comes amid growing concerns about competition, particularly after reports that Google is preparing to unveil a new generation of its in-house artificial intelligence chips.
Google’s TPU push raises competitive questions
Investor attention has turned to Google’s tensor processing units (TPUs), which are expected to be showcased at the company’s Cloud Next conference this week, according to Bloomberg.
TPUs represent one of the most significant competitive threats yet to Nvidia’s dominance in AI chips. However, Nvidia executives and analysts have largely downplayed these risks, instead citing the company’s technological lead and well-established ecosystem.
“With high barriers to entry created by its CUDA software stack, we believe competitive risks are limited and expect Nvidia to continue to dominate one of the fastest growing workloads in cloud and enterprise,” KeyBanc analyst John Vinh wrote in a research note Monday.
Vinh reiterated an Overweight recommendation on Nvidia, with a price target of $275, highlighting continued confidence in the company’s long-term positioning.
Analysts say upcoming results from big tech companies could provide more clarity, including whether major AI models continue to rely on Nvidia’s graphics processing units (GPUs) rather than switching to alternative architectures like TPUs.
AI demand and ecosystem strength support outlook
Despite the competitive noise, analysts remain broadly optimistic about Nvidia’s prospects, citing strong demand for AI infrastructure in cloud and enterprise environments.
“We believe many investors underestimate that GPUs often represent the lowest-risk hardware investment for cloud providers — particularly for any instance that will ultimately serve external client workloads,†UBS analyst Timothy Arcuri wrote in a research note. “Nvidia’s CUDA ecosystem “is not a strong defense in all cases, but Nvidia’s ability to internally model, simulate and benchmark alternative architectures is a factor that we believe many investors underestimate.”
Nvidia’s CUDA software platform continues to be a key differentiator, enabling developers and businesses to design and deploy AI applications efficiently, strengthening customer loyalty even as competitors invest heavily in alternative solutions.
Market data also reflects sustained bullish sentiment. According to TipRanks, the average 12-month price target of 43 analysts is $273.57, implying approximately 37% upside potential from recent levels.
Vera Rubin Platform Fuels Long-Term Optimism
Looking ahead, Nvidia’s next-generation hardware roadmap remains a cornerstone of its growth story.
Bernstein analysts maintained a Buy recommendation on the stock with a price target of $300, highlighting upcoming platform Vera Rubin as a major catalyst.
Analyst David Dai called the platform a “monster,” estimating that it will offer five times more inference performance and 3.5 times more training performance compared to current models.
Importantly, these gains are expected to be accompanied by a transistor increase of just 1.6 times, suggesting significant improvements in design efficiency.
The Vera Rubin platform is expected to begin shipping in the second half of 2026, potentially strengthening Nvidia’s leadership position in high-performance AI computing.
