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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.
News
Tesla breaks Norway’s all-time annual sales record with one month to spare
With November alone delivering 4,260 new registrations, Tesla has cemented its most dominant year ever in one of Europe’s most mature EV markets.
Tesla shattered Norway’s decade-old annual sales record this month, overtaking Volkswagen’s long-standing milestone with one month still left in the year. Backed by surging demand ahead of Norway’s upcoming VAT changes, Tesla has already registered 26,666 vehicles year-to-date, surpassing Volkswagen’s 2016 record of 26,572 units.
With November alone delivering 4,260 new registrations, Tesla has cemented its most dominant year ever in one of Europe’s most mature EV markets.
Model Y drives historic surge in Norway
Tesla’s impressive momentum has been led overwhelmingly by the Model Y, which accounted for 21,517 of Norway’s registrations this year, as noted in a CarUp report, citing data from Elbil Statistik. The Model 3 followed with 5,087 units, while the Model S and Model X contributed 30 and 19 vehicles, respectively. Even the parallel-imported Cybertruck made the charts with 13 registrations.
Demand intensified sharply through autumn as Norwegian buyers rushed to secure deliveries before the country’s VAT changes take effect in January. The new regulation is expected to add roughly NOK 50,000 to the price of a Model Y, prompting a wave of early purchases that helped lift Tesla beyond the previous all-time record well before year-end.
With December still ahead, Tesla is positioned to extend its historic lead further. Needless to say, it appears that Norway will prove to be one of Tesla’s strongest markets in Europe.
FSD could be a notable demand driver in 2026
What’s especially interesting about Tesla’s feat in Norway is that the company’s biggest selling point today, Full Self-Driving (Supervised), is not yet available there. Tesla, however, recently noted in a post on X that the Dutch regulator RDW has reportedly committed to issuing a Netherlands national approval for FSD (Supervised) in February 2026.
The RDW posted a response to Tesla’s post, clarifying the February 2026 target but stating that FSD’s approval is not assured yet. “The RDW has drawn up a schedule with Tesla in which Tesla is expected to be able to demonstrate that FSD Supervised meets the requirements in February 2026. RDW and Tesla know what efforts need to be made to make a decision on this in February. Whether the schedule will be met remains to be seen in the coming period,” the RDW wrote in a post on its official wesbite.
If FSD (Supervised) does get approved next year, Tesla’s vehicles could gain a notable advantage over competitors, as they would be the only vehicles on the market capable of driving themselves on both inner-city streets and highways with practically no driver input.
Tesla Full Self-Driving v14.2 rolled out late last week to Early Access Program (EAP) members, but its best feature is not what you think.
While Tesla has done a great job of refining the performance of the Full Self-Driving suite with the latest update, there are some other interesting additions, including one that many owners have requested for some time.
Upon the release of v14.2, many owners recognized the Blue Dot next to the Autopilot tab in Vehicle Settings, notifying them of a new feature. What was included as a new feature in the new update was a Full Self-Driving stats feature, which now will show you how many miles you’ve traveled in total, and how many of those miles were driven using FSD:
🚨 The coolest non-driving change of Tesla Full Self-Driving v14.2 pic.twitter.com/HOJcFaV2Ny
— TESLARATI (@Teslarati) November 21, 2025
The feature seems to be more of a bragging rights thing than anything, but it will also give drivers a good idea of how many miles they are using Full Self-Driving for. Those who use telematics-based insurance services will also be able to run experiments of their own, and could determine whether their premiums are impacted by the use of Full Self-Driving, and whether it is more advantageous to use over manual driving.
Tesla rolled out numerous other improvements with Tesla Full Self-Driving v14.2, most notably, the company seems to have resolved previous complaints about brake stabbing and hesitation. This was a major complaint in v14.1, but Tesla has seemed to resolve it with this newest branch of the FSD suite.
There were also improvements in overall operation, and it was notably smoother than past versions. Speed Profiles are seemingly refined as well, as they seem much more fixed on how fast they will travel and how aggressive they will be with things like passing cars on freeways and lane changes.
In future updates, Tesla plans to add Parking Spot selection, along with overall operational improvements. However, CEO Elon Musk recently said that the next branch, Full Self-Driving v14.3, will be where the “final piece of the puzzle is placed.” Tesla believes it is close to solving autonomy, so v14.3 could be a major jump forward, but it remains to be seen.
Tesla has adjusted the functionality of a crucial climate feature as Winter weather has started to arrive throughout some parts of the United States. The new feature was highly requested by owners.
Tesla has a Cabin Overheat Protection feature that helps keep the temperature regulated if it reaches a certain threshold. Inversely, it can be used in cold weather as well, which will automatically warm the cabin if it sinks to a temperature that is too low for the owner’s comfort.
This is a great way to keep the cabin either warmed up just enough or cooled down just enough so that it never gets too hot or too cold. Extreme temperatures could damage certain parts of the vehicle or damage personal belongings that are kept inside the car.
Overheat protection is a great thing to have in hot climates like Arizona or Texas, especially with the Premium trims of the Model 3 and Model Y, which feature a glass roof.
Many owners appreciate the feature, but they argue that using it at home will utilize too much energy, especially during extreme temperatures. For a while, many Tesla fans have requested an option to disable this feature when the car is parked at home, which the company recently added, according to Not a Tesla App.
The feature is part of Software Version 2025.44.3, and the release notes state:
“You can now choose Exclude Home when Cabin Overheat Protection or No A/C is enabled.”
Tesla has been great at listening to what owners want with new features, and this is one that will reserve some charge and prevent unnecessary utilization of available power, especially as the car is parked at home. If owners want to condition the cabin or get the car ready for operation with a comfortable interior, they can utilize the Tesla app to adjust the climate.
Tesla breaks Norway’s all-time annual sales record with one month to spare
Tesla Full Self-Driving v14.2’s best new feature is not what you think
