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SpaceX aces fourth Starship flight test

Starship launches on its 4th flight test (Credit SpaceX)

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SpaceX successfully launched and landed its Super Heavy booster and Starship on its fourth integrated flight test, with each making a soft splashdown in the water.

Starship took to the skies at 7:50 am CT from a foggy Starbase, Texas, in an effort to surpass previous flight milestones.

As the countdown hit zero, 32 of 33 Raptor engines on the Super Heavy booster lit, with the outlier being an engine on the outer ring. Despite the engine out, the booster still ascended with ease away from the launch mount and broke through the thick fog into clear blue skies with views streamed back to the ground from just above one of the grid fins.

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As Starship climbed, everything continued to operate nominally all the way through the hot staging which saw Super Heavy Booster 11 shut down all but its 3 center Raptor engines as Starship 29 lit its 6 Raptor engines to pull away from the massive booster. As soon as Starship was clear, Booster 11 completed a flip and boostback burn to begin its trip for a planned soft touchdown in the Gulf of Mexico by relighting 10 Raptor engines.

Once the boostback burn was complete, the hot staging ring was ejected to reduce the overall mass of the booster to help it survive reentry and landing. Future Super Heavy boosters will feature a lighter hot staging ring that will not be ejected. As the booster made its way back, it re-orientated to vertical and began re-entry back through the atmosphere, and unlike the Falcon 9, it does not perform an entry burn.

At around 7 minutes and 15 seconds into flight, the Super Heavy booster lit 12 out of a planned 13 engines for its landing burn, followed shortly by quite a bit of debris flying by the onboard camera, but it did not affect anything critical as seconds later Booster 11 made a successful splashdown in the Gulf of Mexico before a slow planned tip over into the water.

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As Booster 11 completed the first successful soft landing, Starship 29 fired its six Raptor engines, three sea level and three vacuum, with engine shutoff coming in at eight and a half minutes into flight. The starship then entered a long coast phase as it passed between the Florida Keys and Cuba and transited over the Atlantic Ocean, followed by Africa.

During IFT-3, live views were provided for a majority of this portion but due to an unknown issue, cameras didn’t come back until just before 37 minutes into the flight. Elon Musk posted on X that they had a data signal the entire time including live views from internal cameras.

45 minutes into the flight, the true test of Starship began as plasma started to build up, but this time, Starship was in the correct orientation, and the heatshield was facing the correct way to give the ship its best chance at survival.

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As Starship descended, plasma build-up increased with callouts from mission control noting rising temperatures on the nose but all within acceptable limits. At just over 54 minutes into the flight, Starship made it further than the third flight test and into unknown territory.

Plasma builds up as Starship re-enters the atmosphere (Credit SpaceX)

57 minutes into the flight, peak heating had passed but tiles were starting to fall away from the forward flap followed by melting of the lower portion, despite this damage, Starship held strong and in the correct orientation as it descended.

Starship continued its descent and, with significant damage, still made it through to its own landing burn and performed its flip to a vertical orientation and a soft touchdown in the Indian Ocean west of Australia.

Damage to the forward flap as seen during the landing burn (Credit SpaceX)

Even with the damage inflicted on Starship, it completed all test objectives while providing SpaceX with incredibly valuable data that will be used to make the ship stronger on future test flights. The Starlink antenna also survived the entire flight which ensured this data made it back to mission control.

With this successful mission complete, SpaceX could launch the 5th flight by mid to late July and possibly even attempt a catch of the Super Heavy booster according to Elon Musk.

Catch a replay of this epic mission below!

How do you think this flight went overall, and will the fifth flight take place by August?

Questions or comments? Shoot me an email at rangle@teslarati.com, or Tweet me @RDAnglePhoto.

Launch journalist, specializing in launch photography. Based on the Space Coast, a short drive from Cape Canaveral and the SpaceX launch pads.

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Cybertruck

Tesla reveals its Cybertruck light bar installation fix

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u/Kruzat, see page for license, via Wikimedia Commons

Tesla has revealed its Cybertruck light bar installation fix after a recall exposed a serious issue with the accessory.

Tesla and the National Highway Traffic Safety Administration (NHTSA) initiated a recall of 6,197 Cybertrucks back in October to resolve an issue with the Cybertruck light bar accessory. It was an issue with the adhesive that was provided by a Romanian company called Hella Romania S.R.L.

Tesla recalls 6,197 Cybertrucks for light bar adhesive issue

The issue was with the primer quality, as the recall report from the NHTSA had stated the light bar had “inadvertently attached to the windshield using the incorrect surface primer.”

Instead of trying to adhere the light bar to the Cybertruck with an adhesive, Tesla is now going to attach it with a bracketing system, which will physically mount it to the vehicle instead of relying on adhesive strips or glue.

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Tesla outlines this in its new Service Bulletin, labeled SB-25-90-001, (spotted by Not a Tesla App) where it shows the light bar will be remounted more securely:

The entire process will take a few hours, but it can be completed by the Mobile Service techs, so if you have a Cybertruck that needs a light bar adjustment, it can be done without taking the vehicle to the Service Center for repair.

However, the repair will only happen if there is no delamination or damage present; then Tesla could “retrofit the service-installed optional off-road light bar accessory with a positive mechanical attachment.”

The company said it would repair the light bar at no charge to customers. The light bar issue was one that did not result in any accidents or injuries, according to the NHTSA’s report.

This was the third recall on Cybertruck this year, as one was highlighted in March for exterior trim panels detaching during operation. Another had to do with front parking lights being too bright, which was fixed with an Over-the-Air update last month.

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Tesla is already expanding its Rental program aggressively

The program has already launched in a handful of locations, specifically, it has been confined to California for now. However, it does not seem like Tesla has any interest in keeping it restricted to the Golden State.

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Credit: Grok

Tesla is looking to expand its Rental Program aggressively, just weeks after the program was first spotted on its Careers website.

Earlier this month, we reported on Tesla’s intention to launch a crazy new Rental program with cheap daily rates, which would give people in various locations the opportunity to borrow a vehicle in the company’s lineup with some outrageous perks.

Along with the cheap rates that start at about $60 per day, Tesla also provides free Full Self-Driving operation and free Supercharging for the duration of the rental. There are also no limits on mileage or charging, but the terms do not allow the renter to leave the state from which they are renting.

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The program has already launched in a handful of locations, specifically, it has been confined to California for now. However, it does not seem like Tesla has any interest in keeping it restricted to the Golden State.

Job postings from Tesla now show it is planning to launch the Rental program in at least three new states: Texas, Tennessee, and Massachusetts.

The jobs specifically are listed as a Rental Readiness Specialist, which lists the following job description:

“The Tesla Rental Program is looking for a Rental Readiness Specialist to work on one of the most progressive vehicle brands in the world. The Rental Readiness Specialist is a key contributor to the Tesla experience by coordinating the receipt of incoming new and used vehicle inventory. This position is responsible for fleet/lot management, movement of vehicles, vehicle readiness, rental invoicing, and customer hand-off. Candidates must have a high level of accountability, and personal satisfaction in doing a great job.”

It also says that those who take the position will have to charge and clean the cars, work with clients on scheduling pickups and drop-offs, and prepare the paperwork necessary to initiate the rental.

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The establishment of a Rental program is big for Tesla because it not only gives people the opportunity to experience the vehicles, but it is also a new way to rent a car.

Just as the Tesla purchasing process is more streamlined and more efficient than the traditional car-buying experience, it seems this could be less painful and a new way to borrow a car for a trip instead of using your own.

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Elon Musk

Elon Musk’s xAI gains first access to Saudi supercluster with 600k Nvidia GPUs

The facility will deploy roughly 600,000 Nvidia GPUs, making it one of the world’s most notable superclusters.

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A Saudi-backed developer is moving forward with one of the world’s largest AI data centers, and Elon Musk’s xAI will be its first customer. The project, unveiled at the U.S.–Saudi Investment Forum in Washington, D.C., is being built by Humain, a company supported by Saudi Arabia’s Public Investment Fund. 

The facility will deploy roughly 600,000 Nvidia GPUs, making it one of the world’s most notable superclusters.

xAI secures priority access

Nvidia CEO Jensen Huang stated that the planned data center marks a major leap not just for the region but for the global AI ecosystem as a whole. Huang joked about the sheer capacity of the build, emphasizing how unusual it is for a startup to receive infrastructure of such magnitude. The facility is designed to deliver 500 megawatts of Nvidia GPU power, placing it among the world’s largest AI-focused installations, as noted in a Benzinga report.

“We worked together to get this company started and off the ground and just got an incredible customer with Elon. Could you imagine a startup company, approximately $0 billion in revenues, now going to build a data center for Elon? 500 megawatts is gigantic. This company is off the charts right away,” Huang said.

Global Chipmakers Join Multi-Vendor Buildout To Enhance Compute Diversity

While Nvidia GPUs serve as the backbone of the first phase, Humain is preparing a diversified hardware stack. AMD will supply its Instinct MI450 accelerators, which could draw up to 1 gigawatt of power by 2030 as deployments ramp. Qualcomm will also contribute AI200 and AI250 data center processors, accounting for an additional 200 megawatts of compute capacity. Cisco will support the networking and infrastructure layer, helping knit the multi-chip architecture together.

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Apart from confirming that xAI will be the upcoming supercluster’s first customer, Musk also joked about the rapid scaling needed to train increasingly large AI models. He joked that a theoretical expansion one thousand times larger of the upcoming supercluster “would be 8 bazillion, trillion dollars,” highlighting the playful exaggeration he often brings to discussions around extreme compute demand.

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