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1Scan for outdated or missing drivers - takes under a minute2Clear out junk files and repair common Windows errors3Fix the driver behind crashes, sound loss and screen glitchesYes, NVIDIA is producing some AI chips and systems in the United States—but “made in America” needs qualification. TSMC began producing NVIDIA’s Blackwell wafers at its Arizona facilities, while manufacturing partners including Foxconn and Wistron assemble and test AI servers and supercomputers in Texas. NVIDIA is not operating its own domestic chip foundry, and the full supply chain still depends heavily on overseas suppliers.
The U.S. effort began before President Donald Trump’s January 2026 tariff action. Tariffs likely increased the value of domestic capacity, but the evidence does not show that they alone caused NVIDIA’s manufacturing plans.
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What NVIDIA actually announced
On April 14, 2025, NVIDIA announced that production of its Blackwell AI chips had begun at TSMC facilities in Phoenix, Arizona. The company also said complete NVIDIA AI supercomputers would be assembled and tested at partner facilities in Texas.
That distinction matters. NVIDIA designs the processors, but TSMC manufactures the silicon. Foxconn, Wistron and other partners handle parts of the board, server and system-manufacturing work. This is a U.S.-based manufacturing network—not an NVIDIA-owned factory producing every part of an AI computer.
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In October 2025, NVIDIA and TSMC said the first NVIDIA Blackwell wafer had been produced in the United States and had reached volume production at TSMC’s Phoenix facility. The milestone was significant, but it referred specifically to wafer fabrication, not to every subsequent step required to turn a wafer into a working AI accelerator or complete data-center system.
By July and August 2026, the U.S. network had expanded. Wistron opened a 324,000-square-foot facility in Fort Worth, Texas, backed by a reported $700 million investment. The plant produces NVIDIA GB300 Grace Blackwell Ultra systems and is preparing to manufacture systems based on NVIDIA’s Vera Rubin platform.
NVIDIA’s original announcement, its Blackwell wafer update and its Wistron facility update provide the company’s account of these developments.
Arizona makes the wafers; Texas builds the systems
The phrase “AI-chip production” can describe several different manufacturing stages:
- Wafer fabrication: A semiconductor foundry creates the layers of circuitry on silicon wafers. TSMC is performing this work for NVIDIA’s Blackwell products in Arizona.
- Advanced packaging: Individual dies, memory and other components are joined into a high-performance package. This is a separate and technically demanding step, and Arizona wafer production does not automatically mean the package is made there.
- Board and server assembly: Accelerator boards are installed in servers, racks and larger computing systems. Much of this work is being expanded in Texas and other U.S. locations.
- Testing and validation: Components and complete systems are tested before being shipped to data centers.
A simplified version of the supply chain is:
NVIDIA design → TSMC wafer fabrication in Arizona → packaging and memory from a broader supplier network → board and system assembly in Texas and elsewhere → data-center deployment.
That chain explains why “NVIDIA is making chips in America” is directionally true but incomplete. The company is helping establish U.S. capacity at several points in the chain, while relying on partners and foreign inputs at others.
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Which NVIDIA products are involved?
The initial U.S. semiconductor-production announcement centered on the Blackwell AI-chip family. The later Texas expansion involves complete systems based on the GB300 Grace Blackwell Ultra platform.
Wistron has also said its Texas operation is preparing to manufacture systems based on Vera Rubin, NVIDIA’s next-generation platform. NVIDIA separately announced that Vera Rubin was entering full production in 2026 through its global supply chain.
These announcements should not be read as meaning that every NVIDIA GPU, every Blackwell variant or every Vera Rubin component is manufactured entirely in the United States. Product generations can use different processes, packages, suppliers and production locations.
For current product-specific information, see NVIDIA’s Vera Rubin production announcement.
How much U.S. manufacturing is being added?
NVIDIA said in 2025 that it and its partners had commissioned more than 1 million square feet of U.S. manufacturing space. The company has also said that its American supplier network spans 43 states, including suppliers for semiconductors, circuit boards, racks, optical equipment and other components. That 43-state figure is a company-provided claim rather than an independently audited measure.
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Scan for outdated or missing drivers - takes under a minuteDriver Scan →Repair Windows errors before they cause bigger problemsFix Now →Fix the driver behind crashes, sound loss and screen glitchesFind Drivers →The Fort Worth Wistron facility represents a reported $700 million investment. According to NVIDIA and Reuters, the operation initially created more than 500 jobs and was expected to reach 1,000 employees by the end of 2026. Reuters also reported that the facility was expected to scale to tens of thousands of computing boards per month.
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NVIDIA has projected that it and its partners could produce up to $500 billion of AI infrastructure in the United States over four years. That is a projected value of infrastructure produced with partners. It is not the same as $500 billion of NVIDIA capital spending, guaranteed revenue, domestic value added or government investment.
More details on the broader network are available in NVIDIA’s U.S. manufacturing update and Reuters’ report on Wistron’s Texas plant.
Did Trump’s tariffs cause NVIDIA to move production?
Not based on the available timeline. NVIDIA announced the initial Arizona and Texas plans in April 2025. The January 14, 2026 White House action came later.
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One free scan finds every outdated or missing driver and matches the right update for your exact hardware.Free scan · exact hardware matchThe tariff policy is still relevant. The White House announced a 25% tariff on certain advanced-computing chips, including NVIDIA H200 chips, while saying the tariff would not apply to chips imported to support U.S. technology-supply-chain development and domestic manufacturing capacity.
This creates a strong policy incentive to build U.S. capacity and may reduce the tariff exposure of some products or inputs. But it does not prove that tariffs were the sole reason for NVIDIA’s plans. NVIDIA has emphasized demand, supply-chain resilience and the need to expand AI infrastructure. The most defensible conclusion is that tariffs and tariff uncertainty increased the strategic value of a project that was already underway.
The policy also has limits. A tariff does not automatically make U.S. manufacturing cheaper. American factories face higher labor and construction costs, while still depending on imported equipment, materials, memory, substrates, packaging technology and other specialized components. Facilities take years to build, qualify and scale, and tariff rules can change before they reach full production.
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Read the White House fact sheet on the January 2026 chip tariff for the administration’s stated policy rationale and exception.
Is the AI chip fully American-made?
No—not in the comprehensive sense most readers would attach to that phrase.
A modern AI accelerator depends on a global chain that can include:
- Chip design and intellectual property;
- Leading-edge wafer fabrication;
- Advanced packaging and interposers;
- High-bandwidth memory;
- Substrates and printed circuit boards;
- Optical interconnects and power-management components;
- Server and rack assembly;
- Testing, validation and final integration.
Arizona production is an important step because leading-edge wafer fabrication is one of the most technically difficult parts of the chain. But it does not eliminate dependence on Asian manufacturing or imported components. Earlier analysis also highlighted that wafer production in Arizona did not initially mean all advanced packaging was performed there.
The accurate description is partial reshoring of a globally integrated AI-computing supply chain. The United States is adding meaningful fabrication and system-assembly capacity without becoming independent of overseas suppliers.
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Ars Technica’s analysis discusses the distinction between U.S. wafer production and the wider manufacturing chain.
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- Powered by the NVIDIA Blackwell architecture and DLSS 4 OC mode: 2640MHz/Default mode: 2610MHz (Boost Clock)
- Military-grade components deliver rock-solid power and longer lifespan for ultimate durability
- Protective PCB coating helps protect against short circuits caused by moisture, dust, or debris
- 3.125-slot design with massive fin array optimized for airflow from three Axial-tech fans
- Phase-change GPU thermal pad helps ensure optimal thermal performance and longevity, outlasting traditional thermal paste for graphics cards under heavy loads
Why NVIDIA and its partners are doing this
Supply-chain resilience
Producing more components and systems in the United States can reduce exposure to shipping disruptions, geopolitical tensions and sudden restrictions on cross-border trade. It does not remove those risks, but it can diversify them.
Surging AI demand
NVIDIA needs more capacity to serve cloud providers, data-center operators, governments and enterprises building AI infrastructure. U.S. system assembly can add capacity closer to some of those customers.
Government and customer pressure
The U.S. government wants more semiconductor production at home, and large customers increasingly care about supply continuity and the location of critical infrastructure. Domestic production helps NVIDIA demonstrate alignment with both priorities.
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Tariff management
Domestic production may reduce exposure to certain tariffs or allow products and inputs to qualify for policy exceptions. This is a reasonable inference from the tariff rules, but it should not be presented as NVIDIA’s confirmed sole motivation.
Jobs and political visibility
System assembly can create substantial U.S. employment and infrastructure spending even when some of the most advanced semiconductor steps remain international. That makes Texas facilities politically visible and economically meaningful without making the entire product domestic.
What could this mean for prices and customers?
U.S. production could improve resilience and, over time, shorten some logistics routes for American customers. It might also help NVIDIA and its partners respond more quickly to demand from U.S. data centers.
However, domestic manufacturing can raise costs. American labor, construction, utilities and compliance expenses may exceed costs in established Asian production hubs. New facilities can also experience qualification delays, lower initial yields or shortages of skilled workers. NVIDIA may absorb some of those costs, but some could ultimately flow through to cloud providers, data-center operators and enterprise customers.
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Quick Recap
What this does—and does not—change
| What changes | What does not automatically change |
|---|---|
| More Blackwell wafer production takes place in Arizona. | The full NVIDIA platform is not produced entirely in the United States. |
| Texas is becoming a major center for AI-system assembly and testing. | Packaging, memory, substrates and other inputs may still come from overseas. |
| U.S. customers may gain a more geographically diversified supply network. | Domestic plants may not immediately lower prices or remove supply constraints. |
| Tariff policy gives domestic capacity additional strategic value. | Tariffs alone do not guarantee economically competitive U.S. production. |
What to watch next
- Whether TSMC’s Arizona operations expand beyond initial Blackwell production and maintain competitive yields.
- Whether advanced-packaging capacity grows alongside wafer fabrication.
- How quickly Wistron and Foxconn scale Texas system production.
- Whether Vera Rubin systems are produced in the United States at meaningful volume.
- Any changes to semiconductor tariffs, exemptions or related trade restrictions.
- Actual domestic employment, output and delivery figures rather than projected capacity.
- Whether U.S. production changes lead times or prices for cloud and enterprise customers.
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