Nvidia’s Texas Factory and Open-Source Pivot: Two Fronts in the Same Battle
Published on 07/24/2026 at 22:21 | Redaktion boerse-global.de
Nvidia is rewriting its playbook on two fronts this week, simultaneously deepening its physical footprint in the US and wading into the politics of open-source AI. The moves, while distinct in execution, share a common thread: reducing dependence on any single geography, supplier, or regulatory regime.
The chipmaker’s manufacturing partner Wistron has just opened its first US facility, a 30,000-square-meter plant in Fort Worth, Texas, backed by a $700 million investment. Dubbed “D1,” the factory is already producing the GB300 Grace Blackwell Ultra Superchip and is slated to begin manufacturing the next-generation Vera Rubin architecture by late 2026. That ramp comes alongside a separate $1.5 billion multi-year deal with supplier Amkor Technology to expand advanced chip packaging and testing capacity stateside — a critical step for keeping Nvidia’s high-performance AI silicon efficient at scale.
The timing is no accident. Nvidia faces mounting competitive pressure from AMD, which recently unveiled its “Helios” rack system built around the Instinct MI400 series. Industry analysts view that as a direct challenge to Nvidia’s Vera Rubin NVL72 architecture, with AMD claiming improvements in memory bandwidth and compute density. On the political front, President Donald Trump announced Friday that he would review and potentially reverse EU antitrust penalties against US tech companies, while threatening retaliatory tariffs against the bloc — adding another layer of macroeconomic uncertainty for the semiconductor sector.
Huang Breaks His Social Media Silence
In a striking departure from his usual public demeanor, Nvidia CEO Jensen Huang posted for the first time on X on Friday, July 24, 2026. His debut wasn’t a product teaser but an open letter titled “Open Weights and American AI Leadership,” co-signed by more than 20 technology companies and research organizations including Microsoft, Meta, IBM, Palantir, and Mistral AI. The coalition’s message to US policymakers: don’t rush to impose restrictions on open-weight AI models.
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The argument is straightforward — open systems strengthen cybersecurity, foster a more democratic AI economy, and are essential for maintaining America’s technological edge. For Nvidia, however, the calculus is also deeply commercial. A thriving ecosystem of open models expands the customer base for its chips, as developers and smaller firms need powerful hardware to run and customize freely available models. The more open models circulate, the more compute capacity gets consumed — and Nvidia sells exactly that.
Record Revenue, Measured Stock Performance
The political push comes as Nvidia continues to deliver operationally. For the first quarter of fiscal 2027, which ended in April 2026, the company reported record revenue of $81.6 billion, an 85% year-over-year increase. That marks a sharp acceleration from the second quarter of fiscal 2026, when revenue stood at $46.7 billion, representing 56% growth.
The stock, however, has not kept pace with that operational momentum. Nvidia shares are up 15.26% year-to-date — a far cry from the explosive gains of 2024 and 2025. On Friday, the stock edged 0.62% higher to €184.74, still 8.77% below the 52-week high of €202.50 reached in May. Bank of America maintains a buy rating with a $350 price target, pointing to Nvidia’s entry into the AI CPU market with the Vera architecture as a key growth driver.
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Sovereign AI and the Search for Independence
Nvidia also used this week’s AI Summit in San Francisco to finalize high-level discussions, announcing a joint AI research lab with the Korea Advanced Institute of Science and Technology in Seoul. The project is part of a broader “Sovereign AI” strategy, under which Nvidia works directly with governments and leading research institutions to build local AI infrastructure — reducing reliance on centralized cloud providers while opening new applications for Nvidia’s open-source “Nemotron” models in security-sensitive and heavily regulated environments.
The US manufacturing push and the sovereign AI partnerships ultimately serve the same goal: making Nvidia’s supply chains and customer access less vulnerable to any single country or provider. Whether that strategy pays off against AMD’s growing pressure and escalating trade risks will likely become clear in the coming quarters, as Vera Rubin delivery volumes start to roll in. Nvidia has guided for roughly $91 billion in revenue for the current quarter, with the next earnings report due in August 2026.
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