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Nvidia starts production on first AI supercomputers built in U.S.
One Nvidia factory in the U.S. has already come online, while two others are expected to reach mass production in 12 to 15 months.
Chip manufacturer Nvidia has officially started production of AI supercomputers at multiple U.S. factories operated through partnerships, marking the first such hardware to be built within the country.
On Monday, Nvidia announced that its Blackwell chips have begun production at a factory operated in partnership with TSMC in Phoenix, Arizona, as detailed in a press release. The chip maker also continues to work on the construction of two future factories to be operated in Texas, in partnership with Foxconn in Houston and Wistron in Dallas.
Nvidia says that mass production of the Blackwell GPUs is expected to ramp up at both Texas facilities within the next 12 to 15 months, together with the Arizona factory representing a total of over a million square feet of U.S. manufacturing space.
“The engines of the world’s AI infrastructure are being built in the United States for the first time,” said Jensen Huang, Nvidia Founder and CEO. “Adding American manufacturing helps us better meet the incredible and growing demand for AI chips and supercomputers, strengthens our supply chain and boosts our resiliency.”
The manufacturer also says that it aims to produce up to $500 billion worth of AI infrastructure in the U.S. within the next four years, through these partnerships and others with Amjor and SPIL. Nvidia also expects the facilities to create hundreds of thousands of jobs, along with driving trillions of dollars in economic security in the decades to come.
NVIDIA CEO Jensen Huang talks about Elon Musk’s prowess in AI across his several companies:
— TESLARATI (@Teslarati) January 7, 2025
READ MORE ON NVIDIA: Elon Musk explains reasoning for Nvidia chip re-route from Tesla to X
Blackwell chips were designed for use in high-powered AI data center applications, and the news comes as Elon Musk’s xAI, Tesla, and several other companies are working to expand their infrastructure for supercomputing. It also comes amidst an ongoing tariff war launched by the Trump administration, which is expected to hit a wide range of products, including semiconductor chips.
Musk estimated last year that Nvidia purchases would comprise roughly $3 to $4 billion of Tesla’s $10 billion AI expenditures, and the company spent much of the year constructing a massive supercomputing cluster at its Gigafactory in Texas. The location houses 50,000 Nvidia H100 supercomputing chips, used to help train Tesla’s Full Self-Driving (FSD) system, and Musk also said last June that the facility’s power needs would increase from 130MW to over 500MW in around 18 months.
Additionally, Musk’s xAI began operations at a Memphis, Tennessee facility with 100,000 Nvidia H100 and H200 units last July, and the site is in the process of being expanded to 200,000. Nvidia was also a strategic investor in a $6 billion Series C investment into xAI, alongside fellow GPU manufacturer AMD.
Weeks before the funding was announced in December, it was also reported that xAI had gained a $1.08 billion priority Nvidia order of GB200 AI servers, after Huang was personally approached by Musk.
Elon Musk
SpaceX’s Starship FL launch site will witness scenes once reserved for sci-fi films
A Starship that launches from the Florida site could touch down on the same site years later.
The Department of the Air Force (DAF) has released its Final Environmental Impact Statement for SpaceX’s efforts to launch and land Starship and its Super Heavy booster at Cape Canaveral Space Force Station’s SLC-37.
According to the Impact Statement, Starship could launch up to 76 times per year on the site, with Super Heavy boosters returning within minutes of liftoff and Starship upper stages landing back on the same pad in a timeframe that was once only possible in sci-fi movies.
Booster in Minutes, Ship in (possibly) years
The EIS explicitly referenced a never-before-seen operational concept: Super Heavy boosters will launch, reach orbit, and be caught by the tower chopsticks roughly seven minutes after liftoff. Meanwhile, the Starship upper stage will complete its mission, whether a short orbital test, lunar landing, or a multi-year Mars cargo run, and return to the exact same SLC-37 pad upon mission completion.
“The Super Heavy booster landings would occur within a few minutes of launch, while the Starship landings would occur upon completion of the Starship missions, which could last hours or years,” the EIS read.
This means a Starship that departs the Florida site in, say, 2027, could touch down on the same site in 2030 or later, right beside a brand-new stack preparing for its own journey, as noted in a Talk Of Titusville report. The 214-page document treats these multi-year round trips as standard procedure, effectively turning the location into one of the world’s first true interplanetary spaceports.
Noise and emissions flagged but deemed manageable
While the project received a clean bill of health overall, the EIS identified two areas requiring ongoing mitigation. Sonic booms from Super Heavy booster and Starship returns will cause significant community annoyance” particularly during nighttime operations, though structural damage is not expected. Nitrogen oxide emissions during launches will also exceed federal de minimis thresholds, prompting an adaptive management plan with real-time monitoring.
Other impacts, such as traffic, wildlife (including southeastern beach mouse and Florida scrub-jay), wetlands, and historic sites, were deemed manageable under existing permits and mitigation strategies. The Air Force is expected to issue its Record of Decision within weeks, followed by FAA concurrence, setting the stage for rapid redevelopment of the former site into a dual-tower Starship complex.
SpaceX Starship Environmental Impact Statement by Simon Alvarez
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Tesla Full Self-Driving (FSD) testing gains major ground in Spain
Based on information posted by the Dirección General de Tráfico (DGT), it appears that Tesla is already busy testing FSD in the country.
Tesla’s Full Self-Driving (Supervised) program is accelerating across Europe, with Spain emerging as a key testing hub under the country’s new ES-AV framework program.
Based on information posted by the Dirección General de Tráfico (DGT), it appears that Tesla is already busy testing FSD in the country.
Spain’s ES-AV framework
Spain’s DGT launched the ES-AV Program in July 2025 to standardize testing for automated vehicles from prototypes to pre-homologation stages. The DGT described the purpose of the program on its official website.
“The program is designed to complement and enhance oversight, regulation, research, and transparency efforts, as well as to support innovation and advancements in automotive technology and industry. This framework also aims to capitalize on the opportunity to position Spain as a pioneer and leader in automated vehicle technology, seeking to provide solutions that help overcome or alleviate certain shortcomings or negative externalities of the current transportation system,” the DGT wrote.
The program identifies three testing phases based on technological maturity and the scope of a company’s operations. Each phase has a set of minimum eligibility requirements, and applicants must indicate which phase they wish to participate in, at least based on their specific technological development.

Tesla FSD tests
As noted by Tesla watcher Kees Roelandschap on X, the DGT’s new framework effectively gives the green flight for nationwide FSD testing. So far, Tesla Spain has a total of 19 vehicles authorized to test FSD on the country’s roads, though it would not be surprising if this fleet grows in the coming months.
The start date for the program is listed at November 27, 2025 to November 26, 2027. The DGT also noted that unlimited FSD tests could be done across Spain on any national route. And since Tesla is already in Phase 3 of the ES-AV Program, onboard safety operators are optional. Remote monitoring would also be allowed.
Tesla’s FSD tests in Spain could help the company gain a lot of real-world data on the country’s roads. Considering the scope of tests that are allowed for the electric vehicle maker, it seems like Spain would be one of the European countries that would be friendly to FSD’s operations. So far, Tesla’s FSD push in Europe is notable, with the company holding FSD demonstrations in Germany, France, and Italy. Tesla is also pushing for national approval in the Netherlands in early 2026.
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Tesla FSD V14.2.1 is earning rave reviews from users in diverse conditions
Tesla’s Full Self-Driving (Supervised) software continues its rapid evolution, with the latest V14.2.1 update drawing widespread praise.
Tesla’s Full Self-Driving (Supervised) software continues its rapid evolution, with the latest V14.2.1 update drawing widespread praise for its smoother performance and smarter decision-making.
Videos and firsthand accounts from Tesla owners highlight V14.2.1 as an update that improves navigation responsiveness, sign recognition, and overall fluidity, among other things. Some drivers have even described it as “more alive than ever,” hinting at the system eventually feeling “sentient,” as Elon Musk has predicted.
FSD V14.2.1 first impressions
Early adopters are buzzing about how V14.2.1 feels less intrusive while staying vigilant. In a post shared on X, Tesla owner @LactoseLunatic described the update as a “huge leap forward,” adding that the system remains “incredibly assertive but still safe.”
Another Tesla driver, Devin Olsenn, who logged ~600 km on V14.2.1, reported no safety disengagements, with the car feeling “more alive than ever.” The Tesla owner noted that his wife now defaults to using FSD V14, as the system is already very smooth and refined.
Adverse weather and regulatory zones are testing grounds where V14.2.1 shines, at least according to testers in snow areas. Tesla watcher Sawyer Merritt shared a video of his first snowy drive on unplowed rural roads in New Hampshire, where FSD did great and erred on the side of caution. As per Merritt, FSD V14.2.1 was “extra cautious” but it performed well overall.
Sign recognition and freeway prowess
Sign recognition also seemed to show improvements with FSD V14.2.1. Longtime FSD tester Chuck Cook highlighted a clip from his upcoming first-impressions video, showcasing improved school zone behavior. “I think it read the signs better,” he observed, though in standard mode, it didn’t fully drop to 15 mph within the short timeframe. This nuance points to V14.2.1’s growing awareness of temporal rules, a step toward fewer false positives in dynamic environments.
FSD V14.2.1 also seems to excel in high-stress highway scenarios. Fellow FSD tester @BLKMDL3 posted a video of FSD V14.2.1 managing a multi-lane freeway closure due to a police chase-related accident. “Perfectly handles all lanes of the freeway merging into one,” the Tesla owner noted in his post on X.
FSD V14.2.1 was released on Thanksgiving, much to the pleasant surprise of Tesla owners. The update’s release notes are almost identical to the system’s previous iteration, save for one line item read, “Camera visibility can lead to increased attention monitoring sensitivity.”
