Nvidia CEO Jensen Huang has firmly rejected claims that the company's upcoming Vera Rubin AI processors face production delays, insisting instead that the chips are already in manufacturing at "giant" volumes. The denial comes as investors scrutinize whether Nvidia can deliver on its ambitious growth projections tied to this next-generation platform.

What Are the Vera Rubin Delays About?

Recent reports from KeyBanc Capital Markets analyst John Vinh and research firm SemiAnalysis suggested that Nvidia's Vera Rubin rollout could be hampered by several technical challenges. These concerns included thermal management issues, problems qualifying high-bandwidth memory (HBM), a type of ultra-fast memory used in AI chips, and manufacturing difficulties with networking components.

For investors, any delay in Vera Rubin's arrival would be unwelcome news. Nvidia is counting on this processor family to drive extraordinary growth over the next two years. The company anticipates generating $1 trillion in combined revenue from Vera Rubin and its current-generation Blackwell processors across 2026 and 2027, double the $500 billion it previously forecast for these two architectures.

Why Does Vera Rubin Matter So Much to Nvidia's Future?

Vera Rubin represents a critical evolution in Nvidia's AI chip strategy. The processor is designed to significantly reduce the cost of AI inference, the process of running trained AI models to generate predictions or responses. Lowering inference costs could unlock new use cases for AI across industries and help Nvidia maintain its commanding position in a market facing increasing competition.

Huang's confidence in production readiness suggests Nvidia believes it can meet the enormous demand for these chips. The CEO stated that "Vera Rubin is already in production. Giant amounts of production incoming," according to Bloomberg reporting.

How to Interpret Nvidia's Growth Projections

• Revenue Expectations: Nvidia projects $1 trillion in combined revenue from Vera Rubin and Blackwell processors in 2026 and 2027, up from a prior forecast of $500 billion for 2025 and 2026
• Earnings Acceleration: The company expects earnings-per-share growth to accelerate to 88% in fiscal 2027, compared to 60% growth in the prior year
• Analyst Sentiment: Wall Street remains bullish, with 62 of 66 analysts covering Nvidia rating it as a buy, and a median 12-month price target of $300 suggesting potential 45% upside from current levels

If Nvidia's projections prove accurate and the company trades at a valuation in line with the broader Nasdaq-100 index, some analysts believe the stock could reach $409 by the end of fiscal 2029, roughly double its current price.

What's Happening in the Broader AI Chip Market?

Huang's reassurance about Vera Rubin comes as the entire AI chip sector faces headwinds. On Friday, July 17, shares of artificial intelligence chipmakers continued to decline, with Nvidia itself falling 2.2% despite the CEO's positive comments about production.

The broader semiconductor index, which tracks the 25 largest U.S. semiconductor firms, has dropped 9.5% over the past month. Other major players also saw declines, including Intel down 2%, Applied Materials down 5.5%, and Advanced Micro Devices down more than 1%.

Analysts attribute the selloff to a combination of factors. Some point to profit-taking, where investors lock in gains after sustained price increases. Others cite growing skepticism about whether the massive investments in AI infrastructure will deliver returns quickly enough to justify the spending. Concerns about potential interest rate hikes later in 2026 have also weighed on the sector, as higher borrowing costs could make it more expensive for companies to fund AI development.

Despite recent weakness, many semiconductor companies remain substantially higher than their starting prices for 2026. Micron has soared 197% year-to-date, while SanDisk has climbed 471%. Nvidia, the world's largest company by market capitalization, has grown 9% this year.

Huang's public statements about Vera Rubin's production readiness appear designed to reassure investors that Nvidia can execute on its growth strategy even as market sentiment around AI spending becomes more cautious. Whether the company can deliver the promised "giant" volumes and maintain its market dominance will likely determine whether the stock can reach the ambitious price targets analysts have set.