Ahead of the rollout of V4-compatible power cabinets, Tesla has highlighted that faster charging speeds for the Cybertruck are now available at certain charging stations with V4 Supercharging posts.
On Friday, Tesla’s Charging account on X highlighted that the Cybertruck can now charge at speeds of up to 325kW at select Supercharger sites with V4 charging stalls. The news comes as Tesla prepares to start rolling out its V4 charging cabinets in early 2025, which will enable speeds of up to 500kW.
Tesla North American Charging Director Max de Zegher also reposted the news on X, clarifying that, eventually, all V4 posts with a V3 cabinet would enable 325kW charging speeds, and likely even in the coming weeks. He also points out that these Cybertrucks are charging at 400v at 325kW, though they’ll eventually be able to access the full capabilities of their 800v charging architecture with the arrival of the V4 cabinet.
Where can Tesla Cybertrucks charge at speeds of up to 325kW?
Below is the full list of initial sites where Tesla Cybertrucks can charge at 325kW, as shared by Tesla. The company also says it’s aiming to roll out access to even more locations.
- Lebec, CA
- Chemult, OR
- Columbus, GA – Macon Road
- Dayton, OH – North Springboro Pike
- Dunnigan, CA – County Road
- Lamoni, IA
- Wilsonville, OR
- Truckee, CA – Deerfield Drive
- Harrison, NY
- Farr West, UT
- Tacoma, WA – S 40th Street
- Highland, CA – 4154 E Highland Ave
- Melissa, TX
- Cedar Park, TX – East Whitestone Boulevard
- Gillette, WY – South Douglas Highway
- Rockaway, NJ – Green Pond Road
- Mesa, AZ – South Signal Butte Road
- Blaine, WA – Boblett Street
- Santa Ynez, CA
Tesla’s latest charging improvements and milestones
Tesla quietly started rolling out its upgraded V4 Superchargers in North America and other markets throughout much of last year, though the community was quick to point out that the power cabinets also required updates to allow for faster charging speeds. In August, however, Tesla did confirm that it was performing trials of faster charging speeds on the V4 stalls at select Supercharger locations, hinting that these updates were not far off and that even sites with V3 cabinets would likely soon access faster charging.
In the past, Tesla and de Zegher have also highlighted the advantages of building prefabricated charging units at the Gigafactory in Buffalo, New York, which come in pre-built structures with four stall units that are delivered to the site. For one, Tesla has said that the prefab units now take the company just four days from delivery to installation, meaning that it can deploy charging stations faster than ever.
Ultimately, the charging executive also says that the cost-savings that come from building Supercharger stalls this way will be passed onto the customer, following suit recent price reductions that have been spotted in both the North American and European markets in recent weeks.
You can see a rendering of the total supplies needed for four V4 Supercharger stalls (left) compared to the pre-assembled Supercharger units (right) below.
Credit: Max de Zegher | X
What are your thoughts? Let me know at zach@teslarati.com, find me on X at @zacharyvisconti, or send us tips at tips@teslarati.com.
Tesla Supercharger network leads U.S. toward 2030 charging goal
Elon Musk
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.”
Tesla CEO Elon Musk has provided an updated estimate for the training data needed to achieve truly safe unsupervised Full Self-Driving (FSD).
As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.”
10 billion miles of training data
Musk comment came as a reply to Apple and Rivian alum Paul Beisel, who posted an analysis on X about the gap between tech demonstrations and real-world products. In his post, Beisel highlighted Tesla’s data-driven lead in autonomy, and he also argued that it would not be easy for rivals to become a legitimate competitor to FSD quickly.
“The notion that someone can ‘catch up’ to this problem primarily through simulation and limited on-road exposure strikes me as deeply naive. This is not a demo problem. It is a scale, data, and iteration problem— and Tesla is already far, far down that road while others are just getting started,” Beisel wrote.
Musk responded to Beisel’s post, stating that “Roughly 10 billion miles of training data is needed to achieve safe unsupervised self-driving. Reality has a super long tail of complexity.” This is quite interesting considering that in his Master Plan Part Deux, Elon Musk estimated that worldwide regulatory approval for autonomous driving would require around 6 billion miles.
FSD’s total training miles
As 2025 came to a close, Tesla community members observed that FSD was already nearing 7 billion miles driven, with over 2.5 billion miles being from inner city roads. The 7-billion-mile mark was passed just a few days later. This suggests that Tesla is likely the company today with the most training data for its autonomous driving program.
The difficulties of achieving autonomy were referenced by Elon Musk recently, when he commented on Nvidia’s Alpamayo program. As per Musk, “they will find that it’s easy to get to 99% and then super hard to solve the long tail of the distribution.” These sentiments were echoed by Tesla VP for AI software Ashok Elluswamy, who also noted on X that “the long tail is sooo long, that most people can’t grasp it.”
News
Tesla earns top honors at MotorTrend’s SDV Innovator Awards
MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.
Tesla emerged as one of the most recognized automakers at MotorTrend’s 2026 Software-Defined Vehicle (SDV) Innovator Awards.
As could be seen in a press release from the publication, two key Tesla employees were honored for their work on AI, autonomy, and vehicle software. MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.
Tesla leaders and engineers recognized
The fourth annual SDV Innovator Awards celebrate pioneers and experts who are pushing the automotive industry deeper into software-driven development. Among the most notable honorees for this year was Ashok Elluswamy, Tesla’s Vice President of AI Software, who received a Pioneer Award for his role in advancing artificial intelligence and autonomy across the company’s vehicle lineup.
Tesla also secured recognition in the Expert category, with Lawson Fulton, a staff Autopilot machine learning engineer, honored for his contributions to Tesla’s driver-assistance and autonomous systems.
Tesla’s software-first strategy
While automakers like General Motors, Ford, and Rivian also received recognition, Tesla’s multiple awards stood out given the company’s outsized role in popularizing software-defined vehicles over the past decade. From frequent OTA updates to its data-driven approach to autonomy, Tesla has consistently treated vehicles as evolving software platforms rather than static products.
This has made Tesla’s vehicles very unique in their respective sectors, as they are arguably the only cars that objectively get better over time. This is especially true for vehicles that are loaded with the company’s Full Self-Driving system, which are getting progressively more intelligent and autonomous over time. The majority of Tesla’s updates to its vehicles are free as well, which is very much appreciated by customers worldwide.
Elon Musk
Judge clears path for Elon Musk’s OpenAI lawsuit to go before a jury
The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder.
A U.S. judge has ruled that Elon Musk’s lawsuit accusing OpenAI of abandoning its founding nonprofit mission can proceed to a jury trial.
The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder. These claims are directly opposed by OpenAI.
Judge says disputed facts warrant a trial
At a hearing in Oakland, U.S. District Judge Yvonne Gonzalez Rogers stated that there was “plenty of evidence” suggesting that OpenAI leaders had promised that the organization’s original nonprofit structure would be maintained. She ruled that those disputed facts should be evaluated by a jury at a trial in March rather than decided by the court at this stage, as noted in a Reuters report.
Musk helped co-found OpenAI in 2015 but left the organization in 2018. In his lawsuit, he argued that he contributed roughly $38 million, or about 60% of OpenAI’s early funding, based on assurances that the company would remain a nonprofit dedicated to the public benefit. He is seeking unspecified monetary damages tied to what he describes as “ill-gotten gains.”
OpenAI, however, has repeatedly rejected Musk’s allegations. The company has stated that Musk’s claims were baseless and part of a pattern of harassment.
Rivalries and Microsoft ties
The case unfolds against the backdrop of intensifying competition in generative artificial intelligence. Musk now runs xAI, whose Grok chatbot competes directly with OpenAI’s flagship ChatGPT. OpenAI has argued that Musk is a frustrated commercial rival who is simply attempting to slow down a market leader.
The lawsuit also names Microsoft as a defendant, citing its multibillion-dollar partnerships with OpenAI. Microsoft has urged the court to dismiss the claims against it, arguing there is no evidence it aided or abetted any alleged misconduct. Lawyers for OpenAI have also pushed for the case to be thrown out, claiming that Musk failed to show sufficient factual basis for claims such as fraud and breach of contract.
Judge Gonzalez Rogers, however, declined to end the case at this stage, noting that a jury would also need to consider whether Musk filed the lawsuit within the applicable statute of limitations. Still, the dispute between Elon Musk and OpenAI is now headed for a high-profile jury trial in the coming months.
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
Tesla earns top honors at MotorTrend’s SDV Innovator Awards
