News
Tesla denied grant applications in Texas for Superchargers despite fractional costs
Tesla recently applied for a series of grants through a program in the State of Texas that would cover up to 70 percent of an electric vehicle charging stall installation. However, the applications from the United States’ leading electric automaker were denied, despite costs being a fraction of what competitor installations would cost. According to a report from Forbes, which examined the rejected applications and what would instead be installed, Texas is doing itself a disservice, selecting “the most expensive stations in the worst locations for their money.”
Despite a laid out sheet of ground rules, which tend to gravitate toward impartial and unbiased selections, it does not always work out that way. The $21 million in grants, which are awarded on a first-come-first-serve basis, provided enough funding for 170 chargers at 41 stations. Tesla’s applications were not selected for a single project, despite aligning with the grant’s requirements, which would have made Tesla install CHAdeMO or CCS connectors, which would open the Superchargers up to other car manufacturers.
Interestingly, the article states that around 70 percent of EVs on the road would benefit from even more Tesla Superchargers. The robust network of global charging stations for Tesla, which recently eclipsed 30,000 worldwide, provides energy for the industry’s best EVs. Sales figures for Tesla are simply incomparable to other EV companies, as it is the only company in the United States to consistently mark hundreds of thousands of deliveries per quarter, with each one being an electric powertrain.
Tesla’s Superchargers would not have only benefitted drivers of the all-electric automaker’s products. The Forbes report indicates Tesla had only applied for a “small portion” of the money to build its first four stations, which would also accept non-Tesla EVs, much like a “pilot” program the company has started to test in Europe.
Tesla’s non-Tesla Supercharger pilot program expands to France, Norway
While it has not yet happened in the United States, Tesla Superchargers could be used to provide energy to other EV manufacturer products. Tesla stands to gain in other ways, too, as the company allowing other cars to access its infrastructure would help relieve range anxiety concerns. However, its biggest advantage is having 70 percent of the station covered by grant money.
Even if Tesla planned to use the grant funds to expand its charging infrastructure, the decision not to accept their applications is questionable. The prices in unaccepted grant applications, representing up to 70 percent of the actual cost, are as follows:
- Chargepoint: $150K+ for 2-plex
- EVgo: $150K+ for pair, $126K for 4-plex
- Circle-K: $75K for 4-plex to $150K+ for 2-plex
- 7-11: $126K for 2-plex
- “Retail EV Charging North/South Texas” (Buc-ee’s) $100K/charger for 6-plex
- Various small players: $75K to $150K, averaging at least $133K/charger
- Accepted applications so far from various players average $123K+/charger
- Tesla: $29K for 17-plex, $42K for 9-plex
Opening up potential Supercharger locations to other automakers would be extremely advantageous from a cost perspective. It also would give Tesla the ability to test the waters of a potential pilot program in the United States, with plenty of restrictions that would still give Tesla owners prioritization at the stalls.
Ultimately, the EV infrastructure doesn’t seem to gain any benefits from what the Forbes article’s author, Brad Templeton, calls “misguided grants.” Instead, funding the EV infrastructure with what drivers actually need, which is more stations in advantageous areas, like shopping centers or tourist destinations, is the answer.
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Elon Musk
Tesla confirms that work on Dojo 3 has officially resumed
“Now that the AI5 chip design is in good shape, Tesla will restart work on Dojo 3,” Elon Musk wrote in a post on X.
Tesla has restarted work on its Dojo 3 initiative, its in-house AI training supercomputer, now that its AI5 chip design has reached a stable stage.
Tesla CEO Elon Musk confirmed the update in a recent post on X.
Tesla’s Dojo 3 initiative restarted
In a post on X, Musk said that with the AI5 chip design now “in good shape,” Tesla will resume work on Dojo 3. He added that Tesla is hiring engineers interested in working on what he expects will become the highest-volume AI chips in the world.
“Now that the AI5 chip design is in good shape, Tesla will restart work on Dojo3. If you’re interested in working on what will be the highest volume chips in the world, send a note to AI_Chips@Tesla.com with 3 bullet points on the toughest technical problems you’ve solved,” Musk wrote in his post on X.
Musk’s comment followed a series of recent posts outlining Tesla’s broader AI chip roadmap. In another update, he stated that Tesla’s AI4 chip alone would achieve self-driving safety levels well above human drivers, AI5 would make vehicles “almost perfect” while significantly enhancing Optimus, and AI6 would be focused on Optimus and data center applications.
Musk then highlighted that AI7/Dojo 3 will be designed to support space-based AI compute.
Tesla’s AI roadmap
Musk’s latest comments helped resolve some confusion that emerged last year about Project Dojo’s future. At the time, Musk stated on X that Tesla was stepping back from Dojo because it did not make sense to split resources across multiple AI chip architectures.
He suggested that clustering large numbers of Tesla AI5 and AI6 chips for training could effectively serve the same purpose as a dedicated Dojo successor. “In a supercomputer cluster, it would make sense to put many AI5/AI6 chips on a board, whether for inference or training, simply to reduce network cabling complexity & cost by a few orders of magnitude,” Musk wrote at the time.
Musk later reinforced that idea by responding positively to an X post stating that Tesla’s AI6 chip would effectively be the new Dojo. Considering his recent updates on X, however, it appears that Tesla will be using AI7, not AI6, as its dedicated Dojo successor. The CEO did state that Tesla’s AI7, AI8, and AI9 chips will be developed in short, nine-month cycles, so Dojo’s deployment might actually be sooner than expected.
Elon Musk
Elon Musk’s xAI brings 1GW Colossus 2 AI training cluster online
Elon Musk shared his update in a recent post on social media platform X.
xAI has brought its Colossus 2 supercomputer online, making it the first gigawatt-scale AI training cluster in the world, and it’s about to get even bigger in a few months.
Elon Musk shared his update in a recent post on social media platform X.
Colossus 2 goes live
The Colossus 2 supercomputer, together with its predecessor, Colossus 1, are used by xAI to primarily train and refine the company’s Grok large language model. In a post on X, Musk stated that Colossus 2 is already operational, making it the first gigawatt training cluster in the world.
But what’s even more remarkable is that it would be upgraded to 1.5 GW of power in April. Even in its current iteration, however, the Colossus 2 supercomputer already exceeds the peak demand of San Francisco.
Commentary from users of the social media platform highlighted the speed of execution behind the project. Colossus 1 went from site preparation to full operation in 122 days, while Colossus 2 went live by crossing the 1-GW barrier and is targeting a total capacity of roughly 2 GW. This far exceeds the speed of xAI’s primary rivals.
Funding fuels rapid expansion
xAI’s Colossus 2 launch follows xAI’s recently closed, upsized $20 billion Series E funding round, which exceeded its initial $15 billion target. The company said the capital will be used to accelerate infrastructure scaling and AI product development.
The round attracted a broad group of investors, including Valor Equity Partners, Stepstone Group, Fidelity Management & Research Company, Qatar Investment Authority, MGX, and Baron Capital Group. Strategic partners NVIDIA and Cisco also continued their support, helping xAI build what it describes as the world’s largest GPU clusters.
xAI said the funding will accelerate its infrastructure buildout, enable rapid deployment of AI products to billions of users, and support research tied to its mission of understanding the universe. The company noted that its Colossus 1 and 2 systems now represent more than one million H100 GPU equivalents, alongside recent releases including the Grok 4 series, Grok Voice, and Grok Imagine. Training is also already underway for its next flagship model, Grok 5.
Elon Musk
Tesla AI5 chip nears completion, Elon Musk teases 9-month development cadence
The Tesla CEO shared his recent insights in a post on social media platform X.
Tesla’s next-generation AI5 chip is nearly complete, and work on its successor is already underway, as per a recent update from Elon Musk.
The Tesla CEO shared his recent insights in a post on social media platform X.
Musk details AI chip roadmap
In his post, Elon Musk stated that Tesla’s AI5 chip design is “almost done,” while AI6 has already entered early development. Musk added that Tesla plans to continue iterating rapidly, with AI7, AI8, AI9, and future generations targeting a nine-month design cycle.
He also noted that Tesla’s in-house chips could become the highest-volume AI processors in the world. Musk framed his update as a recruiting message, encouraging engineers to join Tesla’s AI and chip development teams.
Tesla community member Herbert Ong highlighted the strategic importance of the timeline, noting that faster chip cycles enable quicker learning, faster iteration, and a compounding advantage in AI and autonomy that becomes increasingly difficult for competitors to close.
AI5 manufacturing takes shape
Musk’s comments align with earlier reporting on AI5’s production plans. In December, it was reported that Samsung is preparing to manufacture Tesla’s AI5 chip, accelerating hiring for experienced engineers to support U.S. production and address complex foundry challenges.
Samsung is one of two suppliers selected for AI5, alongside TSMC. The companies are expected to produce different versions of the AI5 chip, with TSMC reportedly using a 3nm process and Samsung using a 2nm process.
Musk has previously stated that while different foundries translate chip designs into physical silicon in different ways, the goal is for both versions of the Tesla AI5 chip to operate identically. AI5 will succeed Tesla’s current AI4 hardware, formerly known as Hardware 4, and is expected to support the company’s Full Self-Driving system as well as other AI-driven efforts, including Optimus.
Tesla confirms that work on Dojo 3 has officially resumed
Elon Musk’s xAI brings 1GW Colossus 2 AI training cluster online
