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Porsche Taycan showcases track abilities beside high-performance cars in the Nurburgring

[Credit: cvdzijden - Supercar Videos/YouTube]

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Porsche has been very vocal about its aim to ensure that the Taycan, its first all-electric car, would be at home on the racetrack. Porsche’s gasoline-powered cars are famed for their performance and their “soul,” and the company has maintained that the Taycan would be no different.

This means that the upcoming electric four-door sedan would have to be proficient and tuned enough to handle the world’s most challenging racecourses. To accomplish this, Porsche has been taking some of the Taycan’s camouflaged prototypes to one of Germany’s most iconic tracks — the Nurburgring. The intense, twisting 12.93-mile racetrack is famed for its difficulty, resulting in an adage which states that “if a vehicle runs on the Nurburgring, it can run anywhere.”

Just recently, the Porsche Taycan was sighted sharing the famous racetrack with some of Germany’s most iconic high-performance cars, as well as a number of fellow camouflaged prototypes from Audi, BMW, and Mercedes-Benz, to name a few. A video of the vehicles was posted by YouTube’s cvdzijden – Supercar Videos channel, which shares clips of vehicle testing sessions in the racetrack.

The recent Nurburgring session is part of the Industry Pool, an initiative that involves more than two dozen OEMs, all of which combine financial resources to rent out the racetrack four days a week, 16 weeks a year (usually two weeks/month between April and October). In true Industry Pool fashion, several unreleased vehicles could be seen aggressively tackling the turns of the track, but among all of the cars, the Taycan stands apart due to its stealthy way of hugging turns and then exploding forward with its instant torque.

Porsche’s approach to refining the track capabilities of the Taycan is indicative of its experience in the auto industry. Over the past months, the automaker has been taking its camouflaged Taycan prototypes to the Nurburgring for track sessions. This approach seems to be a little bit different from Tesla and its Track Mode for the Model 3 Performance, which was largely developed in-house and heavily software-based. Tesla CEO Elon Musk dubbed Track Mode as an “Expert User Mode” for the electric car, in the way that it would allow drivers to tweak their vehicles’ settings according to their preferences.

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The Porsche Taycan is expected to be marketed as a competitor for the Tesla Model S, but its listed specs are more comparable to the Model 3 Performance. The German automaker states that the Taycan would be able to accelerate from 0-60 mph in 3.5 seconds, eventually hitting a top speed of 155 mph. The vehicle is also expected to feature a 310-mile range per charge, and it would be supported by Porsche’s upcoming Charge Parks, a fast-charging network not unlike Tesla’s Superchargers.

Porsche seems to be the one legacy automaker that is really committed to its electric car push. While companies like Jaguar and Mercedes-Benz have released electric vehicles, neither one has announced a dedicated charging infrastructure for their cars. That said, this is not to say that everything about the Taycan is going well.

The company plans to build the Taycan at its Zuffenhausen facility in Stuttgart, Germany, a location that also manufactures the Porsche 911, 718 Boxster, and the 718 Cayman. Last July, Porsche head of production Albrecht Reimold noted that it is quite difficult to find a location to set up the Taycan’s assembly lines in the facility, especially considering the work that would have to be done to transform the factory and optimize it for the electric car’s production. Ultimately, Porsche aims to build 20,000 Taycans per year when the vehicle enters production, which is expected to begin in 2019.

Watch the Porsche Taycan fit right in with other high-performance cars in the video below.

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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

NVIDIA CEO Jensen Huang commends Tesla’s Elon Musk for early belief

“And when I announced DGX-1, nobody in the world wanted it. I had no purchase orders, not one. Nobody wanted to buy it. Nobody wanted to be part of it, except for Elon.”

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Credit: NVIDIA

NVIDIA CEO Jensen Huang appeared on the Joe Rogan Experience podcast on Wednesday and commended Tesla CEO Elon Musk for his early belief in what is now the most valuable company in the world.

Huang and Musk are widely regarded as two of the greatest tech entrepreneurs of the modern era, with the two working in conjunction as NVIDIA’s chips are present in Tesla vehicles, particularly utilized for self-driving technology and data collection.

Nvidia CEO Jensen Huang regrets not investing more in Elon Musk’s xAI

Both CEOs defied all odds and created companies from virtually nothing. Musk joined Tesla in the early 2000s before the company had even established any plans to build a vehicle. Jensen created NVIDIA in the booth of a Denny’s restaurant, which has been memorialized with a plaque.

On the JRE episode, Rogan asked about Jensen’s relationship with Elon, to which the NVIDIA CEO said that Musk was there when nobody else was:

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“I was lucky because I had known Elon Musk, and I helped him build the first computer for Model 3, the Model S, and when he wanted to start working on an autonomous vehicle. I helped him build the computer that went into the Model S AV system, his full self-driving system. We were basically the FSD computer version 1, and so we were already working together.

And when I announced DGX-1, nobody in the world wanted it. I had no purchase orders, not one. Nobody wanted to buy it. Nobody wanted to be part of it, except for Elon.

He goes ‘You know what, I have a company that could really use this.’ I said, Wow, my first customer. And he goes, it’s an AI company, and it’s a nonprofit and and we could really use one of these supercomputers. I boxed one up, I drove it up to San Francisco, and I delivered it to the Elon in 2016.”

The first DGX-1 AI supercomputer was delivered personally to Musk when he was with OpenAI, which provided crucial early compute power for AI research, accelerating breakthroughs in machine learning that underpin modern tools like ChatGPT.

Tesla’s Nvidia purchases could reach $4 billion this year: Musk

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The long-term alliance between NVIDIA and Tesla has driven over $2 trillion in the company’s market value since 2016.

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GM CEO Mary Barra says she told Biden to give Tesla and Musk EV credit

“He was crediting me, and I said, ‘Actually, I think a lot of that credit goes to Elon and Tesla…You know me, Andrew. I don’t want to take credit for things.”

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General Motors CEO Mary Barra said in a new interview on Wednesday that she told President Joe Biden to credit Tesla and its CEO, Elon Musk, for the widespread electric vehicle transition.

She said she told Biden this after the former President credited her and GM for leading EV efforts in the United States.

During an interview at the New York Times Dealbook Summit with Andrew Ross Sorkin, Barra said she told Biden that crediting her was essentially a mistake, and that Musk and Tesla should have been explicitly mentioned (via Business Insider):

“He was crediting me, and I said, ‘Actually, I think a lot of that credit goes to Elon and Tesla…You know me, Andrew. I don’t want to take credit for things.”

Back in 2021, President Biden visited GM’s “Factory Zero” plant in Detroit, which was the centerpiece of the company’s massive transition to EVs. The former President went on to discuss the EV industry, and claimed that GM and Barra were the true leaders who caused the change:

“In the auto industry, Detroit is leading the world in electric vehicles. You know how critical it is? Mary, I remember talking to you way back in January about the need for America to lead in electric vehicles. I can remember your dramatic announcement that by 2035, GM would be 100% electric. You changed the whole story, Mary. You did, Mary. You electrified the entire automotive industry. I’m serious. You led, and it matters.”

People were baffled by the President’s decision to highlight GM and Barra, and not Tesla and Musk, who truly started the transition to EVs. GM, Ford, and many other companies only followed in the footsteps of Tesla after it started to take market share from them.

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Elon Musk and Tesla try to save legacy automakers from Déjà vu

Musk would eventually go on to talk about Biden’s words later on:

They have so much power over the White House that they can exclude Tesla from an EV Summit. And, in case the first thing, in case that wasn’t enough, then you have President Biden with Mary Barra at a subsequent event, congratulating Mary for having led the EV revolution.”

In Q4 2021, which was shortly after Biden’s comments, Tesla delivered 300,000 EVs. GM delivered just 26.

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Tesla Full Self-Driving shows confident navigation in heavy snow

So far, from what we’ve seen, snow has not been a huge issue for the most recent Full Self-Driving release. It seems to be acting confidently and handling even snow-covered roads with relative ease.

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Credit: Grok

Tesla Full Self-Driving is getting its first taste of Winter weather for late 2025, as snow is starting to fall all across the United States.

The suite has been vastly improved after Tesla released v14 to many owners with capable hardware, and driving performance, along with overall behavior, has really been something to admire. This is by far the best version of FSD Tesla has ever released, and although there are a handful of regressions with each subsequent release, they are usually cleared up within a week or two.

Tesla is releasing a modified version of FSD v14 for Hardware 3 owners: here’s when

However, adverse weather conditions are something that Tesla will have to confront, as heavy rain, snow, and other interesting situations are bound to occur. In order for the vehicles to be fully autonomous, they will have to go through these scenarios safely and accurately.

One big issue I’ve had, especially in heavy rain, is that the camera vision might be obstructed, which will display messages that certain features’ performance might be degraded.

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So far, from what we’ve seen, snow has not been a huge issue for the most recent Full Self-Driving release. It seems to be acting confidently and handling even snow-covered roads with relative ease:

Moving into the winter months, it will be very interesting to see how FSD handles even more concerning conditions, especially with black ice, freezing rain and snow mix, and other things that happen during colder conditions.

We are excited to test it ourselves, but I am waiting for heavy snowfall to make it to Pennsylvania so I can truly push it to the limit.

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