Nvidia Stock Wins a New Street-High Price Target of $500

Nvidia (NASDAQ:NVDA) delivered another massive quarterly report, yet the stock has fallen about 3.5% during the past two trading sessions. Why? Nvidia now faces a problem created by its own extraordinary success.

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After climbing into valuation territory previously unimaginable for a chip company, expectations surrounding every quarterly report have become extraordinarily difficult to satisfy. Anything short of a complete blowout, accompanied by massive upward guidance revisions, now seems capable of triggering profit-taking.

Concerns surrounding China’s export restrictions also continue weighing on sentiment, while worries surrounding hyperscaler spending growth have grown after several years of relentless expansion.

Questions surrounding custom AI chips from tech giants such as Microsoft and Amazon have also continued surfacing following earnings. While Nvidia still dominates the AI accelerator market, some remain concerned that internal silicon projects at hyperscalers could eventually reduce dependence on Nvidia hardware over the longer term.

Yet, top Baird analyst Tristan Gerra believes those concerns are missing the broader picture entirely.

Gerra, who ranks among the top 1% of Wall Street analysts, assigns NVDA shares an Outperform, while lifting his price target from $300 to a Street-high $500. From current levels, that target implies potential upside of ~132%. (To watch Gerra’s track record, click here)

Part of Gerra’s thesis revolves around Nvidia expanding far beyond GPUs alone. According to the analyst, Nvidia continues to gain share within inferencing workloads while strengthening relationships with hyperscalers and frontier AI model companies.

Gerra stated that Nvidia is “gaining market share in inferencing and at hyperscalers,” while also arguing that adoption of the upcoming Vera Rubin platform could surpass what the company achieved during the Blackwell rollout.

The analyst also appears highly optimistic regarding Nvidia’s CPU ambitions. He believes Vera Rubin could unlock a massive new revenue opportunity by delivering substantially better efficiency and throughput compared to traditional x86 processors.

Gerra points out that Nvidia sees “an incremental $200B TAM” emerging from this CPU opportunity, while adding that the company already has visibility into nearly $20 billion in CPU revenue during the current year.

Beyond chips themselves, Gerra believes Nvidia’s networking and platform ecosystem continue to separate the company from potential competitors. He highlighted that Spectrum-X now commands more than half of the Ethernet switch market for AI workloads, while Infiniband revenue expanded more than fourfold year-over-year.

The analyst also believes AI infrastructure spending remains far earlier in its lifecycle than many assume today. According to Gerra, Nvidia expects annual AI infrastructure spending to climb from more than $1 trillion in 2027 toward $3 trillion to $4 trillion annually by 2030 as agentic AI adoption spreads throughout global industries.

Perhaps most importantly, Gerra believes Nvidia still occupies a uniquely advantageous position because customers prefer integrated AI platform solutions rather than isolated hardware products.

“Nvidia remains one of our top large-cap idea owing to market leadership, share gains in inferencing, platform solutions positioning Nvidia as AI leader to regional AI native clouds, overall AI industry CAGR, and the lowest P/E within the AI super-compute space,” the analyst summed up.

Turning to the broader Wall Street view, Nvidia currently boasts a Strong Buy consensus rating based on 42 analyst reviews, including 40 Buy ratings, alongside just one Hold and one Sell. The average price target stands at $299.97, implying about 39% upside from current levels, while targets presently range between $220 and Gerra’s highly ambitious $500 forecast. (See NVDA stock forecast)

Disclaimer: The opinions expressed in this article are solely those of the featured analyst. The content is intended to be used for informational purposes only. It is very important to do your own analysis before making any investment.