Nvidia’s Risky Bet on Its Own Customers: Chip Loans and Vera Rubin Deliveries Collide
Published on 07/23/2026 at 18:22 | Redaktion boerse-global.de
Nvidia is rewriting the rules of the AI hardware business on two fronts at once. The chipmaker has begun shipping its next-generation Vera Rubin platform to OpenAI and CoreWeave, marking a decisive shift from component supplier to full-stack infrastructure provider. At the same time, it is quietly transforming into a financier for smaller cloud operators, guaranteeing bank loans to help them buy the very GPUs Nvidia sells.
The twin developments paint a picture of a company pushing aggressively into new territory — and taking on risks its rivals have largely avoided.
The Vera Rubin Era Begins
Nvidia’s VR200 platform, built around the company’s first in-house server processor dubbed “Vera,” has entered volume production. Initial deliveries reached customer data centers this week, with OpenAI and CoreWeave among the first recipients. The chip uses Nvidia’s proprietary “Olympus” cores, marking a direct assault on Intel and AMD in their traditional x86 stronghold.
A single Vera processor carries an estimated price tag of around $5,000, while complete rack systems such as the NVL72 can cost up to $8 million. The design eliminates conventional internal cabling and fans, promising shorter assembly times and reduced maintenance for hyperscale operators.
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Early benchmarks from CoreWeave highlight the performance leap. The Vera Rubin NVL72 system delivers ten times the tokens per megawatt compared to the previous Grace-Blackwell generation — a metric that matters more as power consumption becomes the primary bottleneck for AI factories. The improvement comes courtesy of sixth-generation NVLink interconnects paired with HBM4 memory, pushing bandwidth to 22 terabytes per second.
Nvidia also claims market leadership in data-center Ethernet switches for the first time, driven by tight integration with its Spectrum-X networking technology.
A New Role as Lender of Last Resort
While the Vera Rubin rollout captures headlines, a less flashy but equally significant strategy is unfolding in Nvidia’s finance department. The company has developed a lending model designed to help smaller AI cloud providers — the so-called “Neocloud” operators — purchase expensive GPUs that traditional banks are reluctant to finance.
Under the arrangement, Nvidia guarantees to cover potential defaults, effectively underwriting the loans. In return, the chipmaker receives a share of the cloud provider’s revenue. The first test case is GMI Cloud, a Mountain View-based company that operates data centers in the US and Asia. GMI Cloud has already committed $500 million in investments to expand its compute capacity and is negotiating a multi-tranche loan worth 20.45 billion Taiwan dollars, roughly $635 million, backed by Taiwan’s GMI Technology and Realtek Semiconductor.
The funds would finance a 16-megawatt AI data center in Taoyuan, equipped with Nvidia’s latest server generation. GMI Cloud already runs more than 30,000 GPUs in US facilities and holds the status of Nvidia Reference Platform Cloud Partner.
The logic behind the strategy is clear: Nvidia wants to broaden its customer base beyond the hyperscalers. Neocloud providers offer specialized AI compute at lower prices with more flexible terms, but they struggle with creditworthiness. Their balance sheets consist almost entirely of GPUs — an asset class conventional lenders struggle to value. Nvidia’s guarantee solves that problem.
But critics warn of circular financing structures. Nvidia is effectively subsidizing the purchases that drive its own sales. If utilization rates collapse at any of these cloud operators, the default risk lands squarely back on the chipmaker’s books.
Geopolitical Headwinds Persist
As Nvidia pushes ahead on both the technology and financing fronts, geopolitical tensions remain a drag. On Thursday, White House officials accused Chinese AI startup Moonshot of accessing restricted Nvidia hardware, potentially violating US export controls. The allegations come amid reports of a growing black market for high-end GPUs in Asia, with prices for banned Blackwell and Vera Rubin components reportedly doubling since the start of the year.
Sovereign AI projects are providing a counterweight. Governments worldwide are investing in domestic AI infrastructure for data sovereignty and national security reasons. Japan’s national AI buildout and partnerships with European providers such as Deutsche Telekom are expected to sustain demand for hardware and software upgrades well into 2026.
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The Market’s Mixed Verdict
Nvidia’s stock closed at €186.10 on Wednesday, up 2.30 percent on the day, but slipped 2.32 percent to €181.78 on Thursday as investors digested the implications of the financing model. The shares now sit 8.10 percent below the May record high of €202.50.
The 30-day annualized volatility stands at 35.32 percent, reflecting heightened uncertainty around the new lending strategy. The relative strength index of 57.6 points to stable, mildly bullish momentum — the market is processing the Vera Rubin shipments without overreacting in either direction.
Year to date, Nvidia has gained 16.11 percent in Euro terms, though the performance lags some semiconductor peers. The company’s first-quarter fiscal 2027 revenue hit a record $81.6 billion, up 85 percent year over year, with the AI Clouds, Industrial and Enterprise segment contributing $37.4 billion alone.
Whether Nvidia’s financing push proves to be a sustainable growth lever or a source of circular risk will depend on how many Neocloud partners sign up. The GMI Cloud deal is the first real test of the model — and the market is watching closely.
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