Nvidia Redefines Its Role: From Chip Supplier to Co-Owner of the AI Economy
Published on 07/11/2026 at 09:06 | Redaktion boerse-global.de
The record-breaking Nasdaq debut of SK Hynix on Friday — the largest US IPO ever by a foreign company, raising roughly $26.5 billion — sent a powerful signal about the sheer scale of the ecosystem Nvidia has built. The South Korean memory maker, which controls 56.4 percent of the high-bandwidth memory market, is the critical supplier of HBM4 chips destined for Nvidia’s next-generation Vera Rubin architecture. That its valuation now hovers near a trillion dollars underscores the vast capital being deployed around a single technology giant.
But the more consequential story is unfolding inside Nvidia itself. The stock closed at €184.60, up 4 percent on Friday and 7.3 percent for the week, lifting its year-to-date gain to 14.59 percent. Yet the market’s attention is shifting from quarterly chip sales to something far bigger: Nvidia’s transformation from a hardware merchant into the financier and co-owner of the global artificial-intelligence infrastructure.
A new business model takes shape on July 1, 2026
That is the date Nvidia launched its “AI Factories” initiative — a strategic pivot beyond the traditional business of selling chips to hyperscalers like Microsoft and Google. Under the new model, Nvidia partners with AI cloud providers through a combination of revenue-sharing arrangements and credit support, effectively using its own balance sheet to underwrite the construction of shared, large-scale AI data centers. The goal is to lower the barrier for startups that cannot spend billions upfront on hardware.
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Sharon AI, for instance, is deploying up to 40,000 Grace-Blackwell GB300 graphics processors under this framework, while Firmus is building a 360-megawatt AI campus in Indonesia. The effect is twofold: Nvidia secures a long-term, usage-based revenue stream and evolves from a supplier into a stakeholder in the very AI economy it supplies.
From training to inference — and a relentless product cadence
Industry observers have already dubbed 2026 the “year of inference.” The previous two years were dominated by the training of massive language models, but the focus is now shifting to real-time, agent-based AI systems that operate continuously rather than in discrete training runs. Nvidia is addressing this demand with its Blackwell Ultra platform (the B300 and GB300 models), but the market is already looking ahead.
Vera Rubin, the next architecture, is scheduled to enter production in the second half of 2026, followed by a generation codenamed “Feynman” expected in 2028. This annual rhythm is designed to defend Nvidia’s estimated 86 percent market share in AI accelerators against a growing field of custom chips and established rivals. Delivery of Vera Rubin systems is slated for the third quarter of 2026.
Technical picture shows steady momentum, not excess
Friday’s close of €184.60 sits comfortably above both key moving averages — 1.87 percent above the 50-day line of €181.22 and 12.02 percent above the 200-day line of €164.78. The 14-day relative strength index stands at 58.6, indicating fresh buying pressure without an overbought condition. Annualized volatility remains elevated at 36.42 percent, a natural byproduct of a company reinventing its business model at this scale.
Despite that, analysts remain bullish. The consensus price target is €264.03, implying upside of roughly 43 percent from current levels. The stock is still 8.84 percent below its May record of €202.50, but the valuation argument increasingly rests on narrative rather than near-term multiples.
The ecosystem expands beyond chips
SK Hynix’s blockbuster IPO is only the most visible symbol of that ecosystem. Nvidia has also named Fluence Energy as its exclusive battery partner for the DSX Vera Rubin reference architecture, providing two to three hours of backup capacity — a move that shows Nvidia designing not just compute clusters but the power infrastructure around them.
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Meanwhile, a second growth leg is taking shape: physical AI. The robotics market is forecast to expand by 34 percent annually and reach $38 billion by the end of 2026. Nvidia aims to be the foundational platform for automated logistics and manufacturing, consistent with CEO Jensen Huang’s stated goal of “owning the entire stack.”
Hard numbers back the ambition
In the first quarter of fiscal 2027, Nvidia reported revenue of $81.61 billion, with its data-center segment alone contributing $75.2 billion. The company is guiding for $91 billion in the current quarter. With a market capitalisation of roughly €4.33 trillion and a 12-month share-price gain of 31.16 percent, Nvidia has earned a reputation as a kind of digital utility — a supplier of essential computing capacity to the global economy.
Risks remain, including thinning margins and tightening export controls. But the fundamental question for investors is no longer whether the AI boom is real. It is how deeply Nvidia can weave itself into the industrial fabric of the world — and whether that transformation will lift its stock to the analyst target of €264, or something beyond.
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