Nvidia's Eurasian Push: A $500 Million AI Factory and the Race to Feed Insatiable GPU Demand
Published on 08/09/2026 at 03:31 | Redaktion boerse-global.de
The arithmetic of artificial intelligence keeps getting more extreme. Demand for Nvidia's graphics processors still outstrips supply by a reported ratio of 12 to 1, a supply-demand imbalance that has become the defining feature of the AI trade. Yet even as the company races to fill that gap, it is simultaneously redrawing the map of where AI infrastructure gets built — and how deeply it penetrates industries far beyond the data center.
The latest evidence arrived over the weekend, when Armenian firm Firebird AI inaugurated a computing facility near Hrazdan valued at more than $500 million. The company bills it as the largest AI factory in the CIS region, with plans to install over 70,000 Nvidia GPUs from the Blackwell and Vera Rubin families by the end of 2027. The campus is designed to run at roughly 300 megawatts of power, with Nvidia itself taking a financial stake in the project. Perplexity, the AI search company, is already lined up as the anchor customer, while Dell is supplying the infrastructure. Staffing is slated to grow from an initial 100 specialists to more than 300 positions.
A Two-Gigawatt Ambition Takes Shape
The Hrazdan opening came with a forward-looking pledge from Nvidia CEO Jensen Huang: Firebird intends to build an additional 250 megawatts of Nvidia-powered AI infrastructure across Armenia and Kazakhstan within the next twelve months. The longer-term target is even more ambitious — roughly two gigawatts of capacity worldwide by the end of 2028. A new Nvidia architecture called DSX is expected to make that feasible, potentially accommodating up to 40 percent more GPUs on the same footprint.
The supply chain is scaling up in parallel. Wistron, the Taiwanese contract manufacturer, recently brought a roughly $700 million facility online in Texas that will produce GB300 Grace-Blackwell-Ultra and Vera Rubin superchips for Nvidia servers. TSMC is likewise deepening its American presence, committing an additional $100 billion to its Arizona operations — bringing total investment there to $265 billion, including advanced packaging capacity. TSMC chief C. C. Wei described demand signals from cloud customers as "very strong," a sentiment backed by a 33 percent revenue jump to over $40 billion in the second quarter.
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The Valuation Paradox at the Heart of the Rally
For all the infrastructure spending, the most striking development may be a valuation anomaly. Despite the stock trading near its all-time high, Bank of America analysts argue Nvidia's valuation relative to its growth is at the lowest level in a decade. The apparent contradiction resolves once growth expectations are factored in. Wedbush's Dan Ives frames the current moment as the "third inning" of the AI revolution, with only about 15 percent of anticipated AI investment actually deployed so far.
The market's response has been unambiguous. Nvidia shares closed Friday at €193.68, up 2.03 percent on the day and 11.23 percent over the past week. That leaves the stock just 4.36 percent shy of its 52-week high of €202.50, reached in May, with the company's market capitalization hovering around €4.59 trillion. The stock currently trades roughly 8 percent above its 50-day moving average, and the prevailing read among analysts is that earnings growth is actually outpacing the share price.
The fundamental case rests on a blockbuster fiscal first quarter: revenue of $81.615 billion, up 85 percent year over year, with the data center segment contributing $75.246 billion and networking growing 199 percent. Management has guided to $91 billion in revenue for the current quarter, excluding China. The analyst consensus price target stands at roughly $302.83, with the overwhelming majority of covering houses rating the stock a buy. The average target of €261.93 cited by some analysts implies roughly 35 percent upside from current levels.
Physical AI and the Shift Beyond Server Farms
The more consequential shift, however, is strategic rather than numerical. Nvidia is no longer content to be the pick-and-shovel provider for hyperscale cloud builders. Through its new Cosmos 3 Edge model, the company is targeting "Physical AI" — local applications that operate without centralized mega-servers, embedded directly in factories, hospitals, and robots.
Japan offers the clearest illustration. Nvidia has forged alliances with industrial heavyweights including Hitachi, Fujitsu, and Kawasaki Heavy Industries, positioning its infrastructure at the center of robotics and manufacturing. The Japanese AI market is projected to reach $27.9 billion by 2029. Biotechnology tells a similar story: seven AI-native drug discovery platforms emerged in the first half of 2026, all built on Nvidia GPU foundations.
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Institutional Conviction Meets Insider Caution
Institutional investors continue to put money behind the thesis. Infrastructure Capital Advisors expanded its Nvidia position by 116.5 percent in the first quarter of 2026, with Polar Asset Management Partners following suit. Steelhead Wealth Management added roughly $672,000 worth of new shares. Nvidia is simultaneously returning capital through an $80 billion buyback program and a quarterly dividend of €0.25 per share.
Not every signal points the same direction. Insiders sold approximately $410.6 million worth of stock over the same period, and the competitive landscape is intensifying. AMD's data center revenue more than doubled to $6.7 billion in the second quarter, though the stock still fell as investors priced in near-perfect execution. Broadcom's AI semiconductor business grew 143 percent to $10.80 billion — a faster percentage clip than Nvidia's own data center division. Nvidia's forward earnings multiple of roughly 23 strikes many observers as moderate given the growth trajectory, though skeptics warn of structural risks embedded in the broad AI investment wave.
The next test arrives August 26, when Nvidia reports quarterly results. Bank of America expects revenue between $94 billion and $95 billion — noticeably above the $91 billion market consensus. A print at that level would likely reinforce the "third inning" narrative, backed by projects like the $2 billion "Project Southgate" in Australia and the forthcoming Vera Rubin architecture. For a company whose products remain in 12-to-1 demand-supply imbalance, the question is no longer whether the infrastructure gets built — it's how fast, and where.
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