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Nvidia CEO Confirms Vera Rubin Chip Production with SK Hynix Memory Supply

Summarized by NextFin AI
  • Nvidia's CEO Jensen Huang announced the full production of the next-generation AI platform, Vera Rubin, with major suppliers including SK Hynix, Samsung Electronics, and Micron Technology.
  • The reliance on sixth-generation HBM4 memory has increased the parts cost in a Rubin rack by 435% compared to previous generations, highlighting the growing cost of AI infrastructure.
  • SK Hynix aims to double its wafer production capacity within five years, responding to Nvidia's demand for increased memory supply amid rising costs.
  • The concentration of supply among three major players poses systemic risks, as analysts warn that increasing memory costs could squeeze margins for data center operators.

NextFin News - U.S. President Trump’s administration continues to oversee a period of intense industrial competition as Nvidia CEO Jensen Huang confirmed that the company’s next-generation AI platform, Vera Rubin, has entered full production. Speaking at the GTC Taipei 2026 keynote, Huang ended months of supply-chain speculation by naming SK Hynix, Samsung Electronics, and Micron Technology as the primary suppliers for the high-bandwidth memory (HBM4) essential to the new chip’s performance. The announcement marks a critical milestone for Nvidia as it attempts to maintain its dominance in the AI accelerator market while navigating a global semiconductor landscape defined by chronic supply shortages.

The Vera Rubin platform represents a significant architectural leap, and its reliance on sixth-generation HBM4 memory underscores the growing cost of AI infrastructure. According to Morgan Stanley, memory now accounts for a share of the parts cost in a Rubin rack that is 435% higher than in previous generations. This shift has turned memory manufacturers into the ultimate gatekeepers of AI scaling. During a visit to the SK Hynix booth at Computex 2026, Huang met with SK Group Chairman Chey Tae-won for a second consecutive day, even writing "Please Make More" on an HBM4E wafer—a blunt signal of the desperation for capacity that currently grips the industry.

SK Hynix has emerged as a particularly vital partner in this ecosystem. The South Korean firm, which recently joined the "trillion-won club" in market valuation, is moving aggressively to expand its footprint. Chey stated that the group aims to double its wafer production capacity within five years to meet the "insane" returns Huang has pitched to investors and suppliers alike. While Samsung and Micron have also been certified for HBM4 supply, SK Hynix’s early lead in HBM development has historically given it a preferred status in Nvidia’s high-end configurations, a position it is fighting to defend as Samsung’s stock surged 10.1% following the certification news.

However, the concentration of supply among three major players introduces systemic risks. While Huang’s confirmation of "full production" suggests that the technical hurdles of HBM4 integration have been cleared, the sheer volume of demand remains a bottleneck. Analysts at Morgan Stanley, who have maintained a cautious but attentive stance on the semiconductor cycle, suggest that the massive increase in memory costs could eventually squeeze the margins of data center operators, even if Nvidia itself remains insulated by its pricing power. The current market enthusiasm assumes that demand for AI training will continue to outpace the rapid expansion of hardware costs, a premise that has yet to be tested by a significant cooling in enterprise AI spending.

The geopolitical dimension of this supply chain cannot be ignored. With the "Big Three" memory makers all operating outside the immediate domestic control of the U.S., the Trump administration’s focus on securing high-tech manufacturing remains a background tension. For now, the partnership between Nvidia and its Asian suppliers is a marriage of necessity. As Huang prepares for an anticipated visit to Seoul later this week, the focus remains on whether SK Hynix and its peers can actually deliver the volume required to turn the Vera Rubin platform from a production success into a global standard. The "Please Make More" plea is no longer just a request; it is the fundamental requirement for the next phase of the AI boom.

Explore more exclusive insights at nextfin.ai.

Insights

What architectural advancements does the Vera Rubin chip introduce?

What role does HBM4 memory play in the performance of the Vera Rubin platform?

How are Nvidia's partnerships with memory suppliers shaping the AI accelerator market?

What are the current supply chain challenges facing the semiconductor industry?

What recent developments have occurred in the memory production capabilities of SK Hynix?

How has the concentration of memory supply among major players affected the industry?

What impact could rising memory costs have on data center operators?

What trends are emerging in the AI hardware market as of 2026?

How does the geopolitical landscape influence the U.S. semiconductor supply chain?

What strategies are memory manufacturers implementing to meet growing demand?

What historical context led to the current state of competition among chip manufacturers?

How does the Vera Rubin platform compare to previous generations of Nvidia chips?

What are some potential long-term impacts of the AI boom on the semiconductor industry?

What controversies exist around the pricing strategies of Nvidia and its suppliers?

How does Morgan Stanley view the future of the semiconductor cycle?

What lessons can be learned from Nvidia's relationships with SK Hynix and Samsung?

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