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Porsche Taycan gets three years free charging, 320 kW “Turbo Chargers” coming to dealer network

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As Porsche prepares for the launch of its first all-electric car — the highly-anticipated Taycan — the carmaker has begun setting the stage for the vehicle’s rollout in the United States. On Monday, Porsche Cars North America, Inc. (PCNA) announced an agreement with Electrify America to provide the Taycan with three years of unlimited fast charging at public stations across the country. With this system in place, as well as Electrify America’s ongoing expansion, the Taycan would be capable of long-distance, coast-to-coast travel.

In a press release about the update, Porsche noted that the charging perk would be included in the Taycan’s selling price. Under the system, Taycan buyers would receive three years of unlimited 30-minute fast charging at Electrify America locations, which is comprised of over 300 highway stations in 42 states, on top of more than 180 sites in 17 select metro areas. The established carmaker stated that each Electrify America location would have an average of five charging stalls, while some sites would have enough support for up to 10 vehicles at once.

Apart from its deal with Electrify America, Porsche has also announced that its dealers would be installing their own fast-charge Turbo Charger kiosks for the company’s upcoming all-electric vehicle. Porsche would also be releasing products for home charging solutions. In a statement, Klaus Zellmer, President and CEO of PCNA, pointed out that this trifecta of charging systems — Electrify America’s infrastructure, Turbo Chargers in dealers, and home chargers — would ultimately free future Taycan owners from range anxiety.

A graphic illustrating the Porsche Taycan’s upcoming charging systems. (Credit: Porsche)

“Every Porsche is a sports car with soul, and the Taycan is soul electrified. Together, Electrify America and our Porsche dealer network will provide a national infrastructure for DC fast charging that frees future Taycan owners from range anxiety. And Porsche home charging technology will turn the customer’s garage into the equivalent of a personal gas station,” the CEO said.

One thing that separates the Taycan from the conventional electric car is its capability to charge at an extremely rapid rate. Using 350 kW chargers, 800-volt technology, and the combined charging system (CCS) standard, the Taycan would be able to add more than 60 miles of range in just four minutes. That’s the fastest charging capabilities in the market today, roughly three times faster than Tesla’s expansive Supercharger Network.

To take advantage of the Taycan’s ultra-fast-charging capabilities, Electrify America’s highway stations would have a minimum of two 350 kW chargers per site, with additional stalls delivering up to 150 kW. Metro stations, on the other hand, would be capable of charging at speeds of up to 150 kW as well. Electrify America is expected to have 484 locations with 2,000 charging stalls completed or under construction by July 1, ahead of the Taycan’s release in late 2019.

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Electrify America’s map for its US charging network. (Credit: Porsche)

While free 3-year unlimited access to Electrify America’s chargers would undoubtedly be a notable selling point for the Taycan, Porsche’s dealers across the country would also be offering their own charging perk. The automaker has noted that all 191 of its US dealers would be installing DC fast-charging stations for the upcoming vehicle, 120 of which would feature Porsche Turbo Charging — the company’s proprietary DC/CCS charging system that delivers up to 320 kW. Porsche dealers without Turbo Chargers would feature 50 kW fast chargers on site.

The Porsche Experience Center (PEC) in Atlanta, GA already hosts the company’s first Turbo Chargers. More of Porsche’s own charging stations are expected to be installed at the PEC in Los Angeles, CA in the near future.

The Porsche Taycan is the first all-electric vehicle from the automaker. In true Porsche spirit, the Taycan boasts impressive specs, from a 0-60 mph time of 3.5 seconds, a top speed of 155 mph, and a range of 310 miles per charge. The company has also noted that just like its iconic vehicles like the legendary Porsche 911, the Taycan would be at home at the racetrack being driven to its limits. As noted by a Porsche brand ambassador in an email to an auto journalist last month, the Taycan would be offered in three models — an entry-level variant, the mid-range Taycan 4S, and the range-topping Taycan Turbo, which would likely cost over $130,000 before options.

Note from Editor:

Last Friday, Electrify America partially shut down its charging infrastructure due to safety concerns from HUBER+SUHNER, the supplier for the network’s charging cables. A spokesperson from Porsche Cars North America tells Teslarati some details on Electrify America’s partial network shutdown:

“Electrify America notified us immediately about the partial shutdown of their charging network due to a concern with one of their liquid-cooling cable suppliers. We are confident that Electrify America and their supplier will move quickly to complete an investigation and resolve this issue well in advance of our public launch of the Porsche Taycan late this year.”

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Simon is an experienced automotive reporter with a passion for electric cars and clean energy. Fascinated by the world envisioned by Elon Musk, he hopes to make it to Mars (at least as a tourist) someday. For stories or tips--or even to just say a simple hello--send a message to his email, simon@teslarati.com or his handle on X, @ResidentSponge.

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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.” 

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Credit: @BLKMDL3/X

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. 

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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.”

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Tesla earns top honors at MotorTrend’s SDV Innovator Awards

MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.

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Credit: Tesla China

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.

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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.

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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.

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Gage Skidmore, CC BY-SA 4.0 , via Wikimedia Commons

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.

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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.

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