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SpaceX fires up Starship and Super Heavy booster hours apart

Two rockets; two static fires; three hours. (NASASpaceflight - bocachicagal)

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SpaceX appears to have successfully fired up a Starship and Super Heavy booster hours apart, testing a total of three new Raptor 2 engines on the two rockets.

SpaceX says it completed a two-engine static fire with Starship 24 less than three hours after the company successfully ignited a Raptor 2 engine installed on a rocket prototype for the first time. That earlier test, performed by Super Heavy Booster 7, was also the first time SpaceX used its new Starbase orbital launch site to support a static fire test and the second-ever static fire of a Starship booster prototype. Had the company called it quits after Booster 7 survived its first intentional trial by fire, it would have still been an exceptionally successful day.

But SpaceX wasn’t done.

Instead, after Booster 7’s seemingly flawless single-Raptor static fire at 5:25 pm CDT, SpaceX loaded Starship 24 with a small amount of liquid oxygen and methane propellant and ignited two of the ship’s six engines around 8:18 pm. It was not initially clear how many engines were involved but a tweet from SpaceX later confirmed it was two. More likely than not, one of those engines was a sea level-optimized Raptor with a smaller bell nozzle and the other was a vacuum-optimized Raptor with a much larger nozzle.

Almost ten months ago, Starship 20 – SpaceX’s first potentially orbital-class Starship prototype – began static fire testing in a somewhat similar way. Its first day of static fires began with a single Raptor Vacuum engine and ended with a simultaneous RVac and sea-level Raptor test in October 2021. In some ways, SpaceX has been a bit less cautious with Starship 24, which is the second potentially orbital-class prototype to begin proof testing. Ship 24 already has all six Raptors installed, whereas Ship 20 only had four of six engines installed during its first static fire tests. SpaceX also took about three weeks to progress from Ship 20’s first static fire test to its first static fire of all six engines, whereas it appears that Ship 24 could potentially attempt its first six-engine test just a few days to a week later.

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On the other hand, Ship 24’s path to its first static fire was substantially longer than Ship 20’s. Ship 20 completed its first static fire test(s) just 25 days after its first proof test, referring to the process of verifying that the prototype was in good working order before moving on to riskier testing with flammable propellant and intentional ignitions. Ship 20 also completed its first six-engine static fire 46 days after testing began. Ship 24, meanwhile, took 75 days to go from its first proof test to its first static fire – almost three times slower than Ship 20, a prototype that was essentially the first of its kind.

It’s possible that Ship 24’s upgraded Raptor 2 engines are partially or fully to blame. Instead of jumping straight into ‘hot’ Raptor testing like Ship 20, which began that particular campaign with a partial-ignition preburner test, SpaceX put Ship 24 through seven ‘spin-prime’ tests before its first static fire. For Raptor, spin-primes test the ignition step before preburner ignition, which is itself a step before main combustion chamber ignition (where the engine starts to produce meaningful thrust). Raptor startup procedures likely involve flowing high-pressure gaseous helium, nitrogen, or propellant (oxygen/methane) through the engine to spin up its turbopumps, ‘priming’ them for preburner and main combustion chamber ignition.

On Raptor 1, the preburners would ignite once a high enough flow rate was achieved, producing hot gas that the main combustion chamber would mix and ignite one last time to start the engine. In a recent interview with Tim Dodd (“The Everyday Astronaut”), CEO Elon Musk revealed that SpaceX was able to “remove torch igniters” from Raptor 2’s main combustion chamber (MCC). It’s unclear if that means that Raptor 2 now has zero MCC igniters, but a major change in the overall ignition process could explain why the start of Ship 24 and Booster 7 engine testing was so sluggish. So could the unintended explosion Booster 7 caused when SpaceX attempted to spin-prime all 33 of its Raptor 2 engines at once.

Regardless, SpaceX has finally crossed that particular Rubicon and, with any luck, Raptor 2 testing will begin to speed up on both Starship 24 and Super Heavy Booster 7. SpaceX has test windows scheduled on August 11th, 15th, and 16th. A warning distributed to Boca Chica, Texas residents on August 10th confirmed that the company intends to perform at least one more static fire test on the 11th.

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Eric Ralph is Teslarati's senior spaceflight reporter and has been covering the industry in some capacity for almost half a decade, largely spurred in 2016 by a trip to Mexico to watch Elon Musk reveal SpaceX's plans for Mars in person. Aside from spreading interest and excitement about spaceflight far and wide, his primary goal is to cover humanity's ongoing efforts to expand beyond Earth to the Moon, Mars, and elsewhere.

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Tesla’s northernmost Supercharger in North America opens

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Credit: Tesla

Tesla has opened its northernmost Supercharger in Fairbanks, Alaska, with eight V4 stalls located in one of the most frigid cities in the U.S.

Located just 196 miles from the Arctic Circle, Fairbanks’s average temperature for the week was around -12 degrees Fahrenheit. However, there are plenty of Tesla owners in Alaska who have been waiting for more charging options out in public.

There are only 36 total Supercharger stalls in Alaska, despite being the largest state in the U.S.

Eight Superchargers were added to Fairbanks, which will eventually be a 48-stall station. Tesla announced its activation today:

The base price per kWh is $0.43 at the Fairbanks Supercharger. Thanks to its V4 capabilities, it can charge at speeds up to 325 kW.

Despite being the northernmost Supercharger in North America, it is not even in the Top 5 northernmost Superchargers globally, because Alaska is south of Norway. The northernmost Supercharger is in Honningsvåg, Norway. All of the Top 5 are in the Scandanavian country.

Tesla’s Supercharger expansion in 2025 has been impressive, and although it experienced some early-quarter slowdowns due to V3-to-V4 hardware transitions, it has been the company’s strongest year for deployments.

Through the three quarters of 2025, the company has added 7,753 stations and 73,817 stalls across the world, a 16 percent increase in stations and an 18 percent increase in stalls compared to last year.

Tesla is on track to add over 12,000 stalls for the full year, achieving an average of one new stall every hour, an impressive statistic.

Recently, the company wrapped up construction at its Supercharger Oasis in Lost Hills, California, a 168-stall Supercharger that Tesla Solar Panels completely power. It is the largest Supercharger in the world.

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Tesla shocks with latest Robotaxi testing move

Why Tesla has chosen to use a couple of Model S units must have a reason; the company is calculated in its engineering and data collection efforts, so this is definitely more than “we just felt like giving our drivers a change of scenery.”

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Credit: Sawyer Merritt | X

Tesla Model S vehicles were spotted performing validation testing with LiDAR rigs in California today, a pretty big switch-up compared to what we are used to seeing on the roads.

Tesla utilizes the Model Y crossover for its Robotaxi fleet. It is adequately sized, the most popular vehicle in its lineup, and is suitable for a wide variety of applications. It provides enough luxury for a single rider, but enough room for several passengers, if needed.

However, the testing has seemingly expanded to one of Tesla’s premium flagship offerings, as the Model S was spotted with the validation equipment that is seen entirely with Model Y vehicles. We have written several articles on Robotaxi testing mules being spotted across the United States, but this is a first:

Why Tesla has chosen to use a couple of Model S units must have a reason; the company is calculated in its engineering and data collection efforts, so this is definitely more than “we just felt like giving our drivers a change of scenery.”

It seems to hint that Tesla could add a premium, more luxury offering to its Robotaxi platform eventually. Think about it: Uber has Uber Black, Lyft has Lyft Black. These vehicles and services are associated with a more premium cost as they combine luxury models with more catered transportation options.

Tesla could be testing the waters here, and it could be thinking of adding the Model S to its fleet of ride-hailing vehicles.

Reluctant to remove the Model S from its production plans completely despite its low volume contributions to the overall mission of transitioning the world to sustainable energy, the flagship sedan has always meant something. CEO Elon Musk referred to it, along with its sibling Model X, as continuing on production lines due to “sentimental reasons.”

However, its purpose might have been expanded to justify keeping it around, and why not? It is a cozy, premium offering, and it would be great for those who want a little more luxury and are willing to pay a few extra dollars.

Of course, none of this is even close to confirmed. However, it is reasonable to speculate that the Model S could be a potential addition to the Robotaxi fleet. It’s capable of all the same things the Model Y is, but with more luxuriousness, and it could be the perfect addition to the futuristic fleet.

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Rivian unveils self-driving chip and autonomy plans to compete with Tesla

Rivian, a mainstay in the world of electric vehicle startups, said it plans to roll out an Autonomy+ subscription and one-time purchase program, priced at $49.99 per month and $2,500 up front, respectively, for access to its self-driving suite.

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Credit: Rivian

Rivian unveiled its self-driving chip and autonomy plans to compete with Tesla and others at its AI and Autonomy Day on Thursday in Palo Alto, California.

Rivian, a mainstay in the world of electric vehicle startups, said it plans to roll out an Autonomy+ subscription and one-time purchase program, priced at $49.99 per month and $2,500 up front, respectively, for access to its self-driving suite.

CEO RJ Scaringe said it will learn and become more confident and robust as more miles are driven and it gathers more data. This is what Tesla uses through a neural network, as it uses deep learning to improve with every mile traveled.

He said:

“I couldn’t be more excited for the work our teams are driving in autonomy and AI. Our updated hardware platform, which includes our in-house 1600 sparse TOPS inference chip, will enable us to achieve dramatic progress in self-driving to ultimately deliver on our goal of delivering L4. This represents an inflection point for the ownership experience – ultimately being able to give customers their time back when in the car.”

At first, Rivian plans to offer the service to personally-owned vehicles, and not operate as a ride-hailing service. However, ride-sharing is in the plans for the future, he said:

“While our initial focus will be on personally owned vehicles, which today represent a vast majority of the miles to the United States, this also enables us to pursue opportunities in the rideshare space.”

The Hardware

Rivian is not using a vision-only approach as Tesla does, and instead will rely on 11 cameras, five radar sensors, and a single LiDAR that will face forward.

It is also developing a chip in-house, which will be manufactured by TSMC, a supplier of Tesla’s as well. The chip will be known as RAP1 and will be about 50 times as powerful as the chip that is currently in Rivian vehicles. It will also do more than 800 trillion calculations every second.

RAP1 powers the Autonomy Compute Module 3, known as ACM3, which is Rivian’s third-generation autonomy computer.

ACM3 specs include:

  • 1600 sparse INT8 TOPS (Trillion Operations Per Second).
  • The processing power of 5 billion pixels per second.
  • RAP1 features RivLink, a low-latency interconnect technology allowing chips to be connected to multiply processing power, making it inherently extensible.
  • RAP1 is enabled by an in-house developed AI compiler and platform software

As far as LiDAR, Rivian plans to use it in forthcoming R2 cars to enable SAE Level 4 automated driving, which would allow people to sit in the back and, according to the agency’s ratings, “will not require you to take over driving.”

More Details

Rivian said it will also roll out advancements to the second-generation R1 vehicles in the near term with the addition of UHF, or Universal Hands-Free, which will be available on over 3.5 million miles of roadway in the U.S. and Canada.

Rivian will now join the competitive ranks with Tesla, Waymo, Zoox, and others, who are all in the race for autonomy.

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