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Porsche flexes e-Motorsport prowess with GT4 ‘ePerfomance’
Porsche has shown off its electric GT4 ePerformance racecar at an ice track race in Sweden.
As a leader in vehicles that put a smile on your face, Porsche is under distinct pressure to bring that same excitement and joy to the EV transition, and it’s clear that it intends to do just that. First shown at the Goodwood Festival of Speed last year, the Porsche GT4 ePerformance has made another debut, this time at an ice track race in Northern Sweden.
At the Race of Champions event in Northern Sweden, Porsche got the opportunity to show off its GT4 ePerformance project, a car that is set to define the future of electric motorsports.
The Porsche GT4 ePerformance is a serious racecar, no question about it. Fitted with carbon fiber body panels, the tried and true aerodynamics of Porsche’s fastest racecars, and a stripped interior, it is the real deal and has the performance to back it up.
The full specifications of the vehicle are not yet known, but a surprising amount of information has been revealed over the past year. First of all, the ePerformance is designed to last a minimum of 30 minutes on the racetrack, what Porsche says is the equivalent of 1 Porsche Carera Cup race, allowing drivers to push the car to its absolute limit without the worry of a dead battery mid-race.
Second, the drivetrain, likely using a dual or tri-motor system, produces similarly insane power as its gas counterparts. It packs 603 horsepower for its 30-minute race setting or up to 1088 horsepower peak. But perhaps even more surprising is the car’s incredibly quick charging. According to Porsche engineers, the vehicle can charge from 5 to 8 percent in as little as 15 minutes thanks to its 900-volt architecture.
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While Porsche did not provide a statement on the vehicle or today’s race for that matter, Porsche’s Project Manager of Sales Oliver Schwab told Teslarati:
“The 718 Cayman GT4 ePerformance blazes a trail to Porsche customer racing with electrically-powered racing cars. As a first step, we will unveil this concept to our global partners. With drivers, teams, organizers, authorities, and other interested parties, we’re also gathering ideas for Porsche racing formats in the future.”
To show off this incredible power, Porsche chose the ideal venue. For those unfamiliar, the “Race of Champions” (ROC) is a series of races that take place around the globe, forcing the best drivers on the planet to face off; on the same track, same car, and same day. This event includes participants such as four-time F1 Champion Sebastian Vettel, six-time American rally champion Travis Pastrana, ten-time F1 Champion Valtteri Botas, nine-time 24 Hour of LeMans winner Tom Kristenson, need I say more.
But merely coming to the event was not nearly enough for the thrill junkies from Stuttgart. The GT4 ePerformance was fitted with spiked tires and one of the largest wings I have ever seen mounted on a Porsche vehicle, allowing the car to rip and jump through the icy course with ease.
If this is the future of motorsport, I want it.
And thankfully, I (and many others) won’t have to wait much longer. While unconfirmed by Porsche, the high-performance electric 911 could very well make its production debut following the introduction of the company’s newest EV platform, PPE. And with the numerous benefits to handling, power efficiency, and weight reduction, the car could be a rocket ship.
According to a Porsche press release from late last year, the GT4 ePerformance will be headed to North America for the first half of this year, making a tour throughout the continent to show potential customers the incredible future of electric Porsche racing, and will ultimately end up in Asia after completing its grand tour.
Porsche has shown in today’s video that motorsports are here to stay and may flourish with the upcoming EV transition. With such a noble goal, who could oppose them? Who knows, with the dedication to its electric performance vehicle offerings, it might just be enough to drag a certain American EV maker to the same market. And if this product is a showing of Porsche’s future products, such a competitor might finally have something to worry about.
What do you think of the article? Do you have any comments, questions, or concerns? Shoot me an email at william@teslarati.com. You can also reach me on Twitter @WilliamWritin. If you have news tips, email us at tips@teslarati.com!
Tesla has reached a notable benchmark in its autonomous driving program after its Robotaxi fleet surpassed one million miles of unsupervised operation. The company made the announcement during its Cybercab event in Austin on September 3.
Tesla Vice President of AI Ashok Elluswamy told attendees he was happy to report the fleet had achieved one million miles of unsupervised Robotaxi operation as a testament to safety.
The new total marked a sharp increase from the 380,000 unsupervised miles Tesla disclosed during its second-quarter 2026 earnings update in late July.
In roughly six weeks, the company added about 620,000 miles. That acceleration followed Tesla’s decision to remove in-vehicle safety monitors from most of its operations outside the San Francisco Bay Area.
Credit: Tesla
Tesla first launched Robotaxi service in Austin in June 2025 with safety drivers present. It later began fully unsupervised rides and expanded into Dallas, Houston, Miami, Orlando, and Tampa. The San Francisco Bay Area remains the exception, where a safety monitor still rides in the vehicle under California permitting rules.
The company has not released a city-by-city breakdown of the one million unsupervised miles.
The milestone arrived as Tesla began offering public Cybercab rides in Austin. The purpose-built vehicle has no steering wheel or pedals and is designed only for autonomous ride-hailing. Production versions joined the existing fleet of modified Tesla vehicles already operating in the service.
Tesla’s unsupervised mileage is growing at a double-digit weekly rate according to earlier company comments, yet its fleet size remains modest compared with established competitors. Waymo has accumulated more than 200 million fully autonomous rider-only miles. Tesla has described its own unsupervised operations as having recorded zero notable incidents in the period leading up to the July update.
The one-million-mile figure reflects Tesla’s shift from supervised testing to broader driverless service in multiple states. It also highlights the company’s strategy of using both existing Model Y vehicles and the new Cybercab to scale its network.
Credit: Tesla
Whether the rapid recent growth continues will depend on further city expansions, regulatory approvals, and the performance of the purpose-built Cybercab in everyday paid rides. Tesla has not specified how many of the latest miles involved the new vehicle versus the rest of the fleet.
The announcement underscores Tesla’s progress toward a larger robotaxi network while illustrating the remaining gap in total autonomous experience relative to longer-operating rivals.
Tesla AI lead Ashok Elluswamy said this week that 24-hour Robotaxi service is close. Replying on X to a rider who wanted Cybercab trips all night, he wrote that the capability would arrive “next month or so” once “the next tech to merge on the v15 plan” is ready.
The comment landed on September 4, one day after Tesla opened public Cybercab rides in Austin. It is the clearest near-term timeline yet for overnight unsupervised operation. Tesla’s paid Robotaxi network currently runs from 6 a.m. to 10 p.m. seven days a week across Austin, Dallas, Houston, Miami, Orlando, and Tampa.
next month or so. the next tech to merge on the v15 plan will enable it.
— Ashok Elluswamy (@aelluswamy) September 4, 2026
That 16-hour window is shorter than the 6 a.m. to 2 a.m. schedule the company used for much of the prior year.
Elluswamy did not name the specific feature or say whether the change would apply first to purpose-built Cybercabs, the existing Model Y fleet, or both. He also offered no city-by-city rollout list. The link to Full Self-Driving v15 is nevertheless significant.
Tesla has described v15 as a step-change architecture with seven parallel improvement tracks and roughly ten times more parameters than earlier builds. Early versions of that software already operate on the Robotaxi fleet and contain about 40 percent of the planned gains.
By July 2026, the unsupervised fleet had logged more than 380,000 miles across six cities in two states with what the company called an impeccable safety record and no notable incidents caused by the vehicles themselves. Tesla has repeatedly argued that camera-based end-to-end neural networks, rather than extra sensors, are the core of the solution.
Overnight service would test that claim in lower-light conditions and would also raise vehicle utilization, a key variable for Robotaxi unit economics. The company has already begun using public Superchargers at night and is building dedicated Robotaxi charging sites.
Riders have asked why software must change if the cars already drive in the dark. The practical answer appears to be reliability and scale: Tesla has held back mass expansion until more of the v15 stack is merged, citing the need for higher confidence before putting thousands of unoccupied vehicles on streets around the clock.
If the next module arrives on the timetable Elluswamy sketched, 24-hour service could begin in October 2026 in at least some markets.
That would mark a shift from a daytime-bounded pilot to a service that can run whenever demand exists, including the late-night hours that have so far remained out of reach.
Tesla is beginning to roll out Full Self-Driving Supervised v14.3.9 with a new active safety layer that can take control even when the driver is operating the car manually.
Tesla AI said the software can activate FSD on the driver’s behalf when an imminent collision is detected and Automatic Emergency Braking may not be enough. It may also engage if the system detects heavy distraction or an accidental FSD disengagement.
FSD Supervised v14.3.9 starting to roll out shortly
This release includes a new active safety feature set: FSD Supervised can now activate on your behalf when an imminent collision is detected and Automatic Emergency Braking (AEB) may not be enough.
It may also engage if we…
— Tesla AI (@Tesla_AI) September 4, 2026
The capability is essentially Automatic Collision Evasion. However, unlike conventional AEB, which mainly applies the brakes in a straight line, this feature can use steering, braking, and acceleration together if the car calculates that stopping alone will not prevent impact and a safer path exists. The system may change lanes or move toward a shoulder when conditions allow, then continue driving after the immediate threat is handled rather than simply coming to a stop.
The intervention is meant as a last-resort safety net, not a replacement for attentive driving.
Tesla Full Self-Driving v14.3.7 early review: FSD saved me from an accident
Tesla’s own description still frames FSD as supervised assistance. Secondary reports on internal release notes say the feature can fire while the car is being driven manually if cabin-camera monitoring suggests the driver is not sufficiently attentive, such as reaching toward the back seat, or if FSD appears to have been turned off unintentionally.
After the emergency maneuver, the car is expected to alert the driver and request a return to manual control.
The safety case is straightforward. Many collisions happen in the last second because a driver is looking away, fumbles a control, or faces an obstacle that braking cannot fully solve. A system that can both recognize that AEB is insufficient and execute a coordinated evasive path can reduce those remaining high-severity events.
Re-engaging after accidental disengagement also addresses a practical failure mode: a small steering nudge that drops FSD at the worst moment. The advantage is a background safety net that uses the same vision stack already running in v14, instead of leaving the car solely to emergency braking once the driver is no longer in command.
The feature still depends on FSD being enabled and, according to reports, an active FSD purchase or subscription. It does not make the vehicle unsupervised. Drivers remain responsible, and Tesla has not published how often the system is expected to intervene or how it will handle false positives.
If the rollout is conservative and the false-alarm rate stays low, the update is a meaningful step: FSD is no longer only a feature the driver turns on. In the rare moments when disaster is already forming, it can step in.
Tesla crosses major Unsupervised Self-Driving milestone
Tesla Robotaxi will be a 24/7 service: here’s when
