Nvidia Delays Gaming GPU Launch as AI Demand Drives Chip Shortage

Nvidia is delaying the release of its next-generation gaming graphics cards due to a shortage of advanced memory chips driven by AI demand. The shortage is forcing suppliers to shift resources toward AI hardware, allowing Nvidia to prioritize higher-margin data center products. The company has reportedly cut production of current RTX 50-series cards, worsening supply constraints for gaming GPUs.

The shortage centers on memory chips like GDDR7 and HBM4, which are essential for both high-end gaming and AI server components. With AI infrastructure growing rapidly, suppliers are allocating more capacity to AI-focused chips, reducing availability for consumer graphics cards. This shift aligns with Nvidia's strategic focus on data center revenue, which now accounts for nearly 90% of its total income.

Analysts suggest that the memory shortage and AI demand could push back the release of the next RTX 60-series GPUs beyond 2027. Reports also claim that planned RTX 50-series 'Super' refresh models may be canceled to free up manufacturing capacity for AI chips.

Why Did This Happen?

The global memory shortage is a result of surging demand for AI infrastructure, particularly from hyperscale data centers. This has caused suppliers to prioritize AI over gaming hardware, which traditionally has lower profit margins. Nvidia has not officially confirmed these delays, but its recent earnings show a clear shift in revenue toward the data center segment.

The shortage is also impacting the broader market, with analysts suggesting that prices for existing Nvidia graphics cards could rise as supply tightens. This creates opportunities for competitors like AMD and Intel, who may benefit from market share gains in the gaming GPU segment.

How Did Markets React?

Despite strong AI demand and record revenue, Nvidia's stock has shown little movement in recent months. Big tech companies are planning AI capital spending estimated at over $600 billion in 2026, but investors are concerned that capital expenditures may outpace revenue. This has contributed to a lower valuation for Nvidia, which now trades at about 24 times profit estimates, down from a five-year average near 38.

Goldman Sachs has raised its price target for Nvidia to $250, citing optimism about the company's next-generation Rubin GPU and increased capital expenditures from major data centers. The firm forecasts a $2 billion revenue beat in Q4 and earnings per share above the consensus estimate for Q1.

What Are Analysts Watching Next?

Analysts are closely monitoring Nvidia's upcoming earnings report on Feb. 25 to assess demand and guidance for the year ahead. The next-generation Rubin GPU is expected to begin shipping in Q3 2026, and analysts believe this could drive further revenue growth.

In the AI hardware space, AMD is facing challenges in maintaining its competitive edge. While AMD's Instinct MI300X and upcoming MI350X GPUs offer strong specs, analysts like Gil Luria of D.A. Davidson warn that the company lags in real-world performance and deployment tools. This hinders AMD's ability to compete with Nvidia and Broadcom in the high-performance computing market.

Nvidia is also expanding its data center operations by leasing a new facility backed by $3.8 billion in junk bonds. CEO Jensen Huang has expressed confidence that $660 billion in capital expenditure from key clients is sustainable, helping to support investor sentiment amid recent stock volatility.

Goldman Sachs believes the broader AI infrastructure spending by cloud providers and digital platforms will remain robust, with estimated investments of $600–$650 billion in 2026. Continued strong capital expenditure by hyperscalers reinforces the thesis that supply constraints are still a factor, supporting long-term demand for Nvidia's products.