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SpaceX to attempt to crush Starship test tank
A week after rolling a different ‘test tank’ from its South Texas Starship factory to nearby launch and test facilities, SpaceX has moved a second test tank to the pad.
Hearkening back to a period in 2020 where SpaceX built and tested six different Starship test tanks in a period of six months, the company appears to be preparing to test another batch of tanks in the hopes of qualifying Super Heavy booster design changes and clearing the way for a significant upgrade to all Starship tank domes. The sequencing of the latest tank raises some questions, however.
Known unofficially as the “EDOME” tank in reference to a cryptic label on the side of one of its halves, the first new test tank’s purpose is much more cut and dry. While its steel rings appear to be unchanged from current Starship and Super Heavy prototypes, the tank’s two domes share almost nothing in common with the dozens of domes SpaceX has built and tested over the last three years of development. The new domes are much simpler and should be easier to manufacture than the domes SpaceX is familiar with. Thanks to their more spherical shape, they should also be more efficient, allowing future Starship tanks to store a bit more propellant while taking up the same amount of vertical space. SpaceX has yet to begin testing the EDOME tank since its June 8th rollout and does not appear to be much closer to starting 12 days later.
On June 16th, SpaceX rolled a second test tank to the launch site, which eventually joined the EDOME tank at a staging area that used to be a Starship landing pad. Whereas the EDOME tank is more of a generic test article, the second tank – known as B7.1 – is specifically designed to test Super Heavy booster design changes.
B7.1 is a bit like a miniature Super Heavy. Its three-ring top section is mostly similar to the top section of a booster and is reinforced with dozens of external stringers. Oddly, it is missing cutouts for grid fins, and the tank’s forward dome does not have the reaction frame those hypothetical grid fins would anchor to. On the tank’s bottom half, the same stringers are present, and the tank features a new design that squeezes four slightly shorter rings into the same height as three. The Super Heavy thrust dome those rings enclose is also a new design that expands the number of central Raptor engines from 9 to 13.
It’s unsurprising that SpaceX wants to test those significant design changes. SpaceX did technically conduct a similar test in mid-2021 with a test tank known as BN2.1, but that tank featured a thrust dome with room for 9 older Raptors that would have generated about ~1700 tons of thrust. B7.1’s testing will go a step further than BN2.1 and use a structural test stand that should allow SpaceX to simulate the compressive forces Super Heavy boosters might experience in flight, adding another dimension of stress on top of the 13 hydraulic rams that will simultaneously subject the test tank to the equivalent of ~3000 tons (~6.6M lbf) of thrust.
And lift over to the crusher for a nice bit of torture. pic.twitter.com/SxV3BTs7ry— Chris Bergin – NSF (@NASASpaceflight) June 19, 2022
What is surprising, however, is the fact that SpaceX has waited so long to build and test a tank like B7.1. SpaceX has already completed an entire Super Heavy booster (B7) with all the design changes B7.1 is meant will test and recently installed 33 new Raptor 2 engines on that prototype. A second upgraded booster, B8, is also nearly finished. In that sense, B7.1 is quite unusual and feels more like a reluctant afterthought than part of a methodical development process. If B7.1 suffers an unintentional failure during testing, SpaceX could be forced to abandon two nearly-finished Super Heavy boosters, wasting months of assembly and testing and rendering prototypes that are likely worth tens of millions of dollars all but useless.

The design changes B7.1 is meant to test are not exactly radical, but it’s still unclear why SpaceX has chosen to conduct those tests after building two entire Super Heavy boosters. Earlier on in Starship development, SpaceX regularly used test tanks to qualify significant design changes before applying those changes to full prototypes, limiting the amount of resources that could be wasted on any unproven prototype. Thankfully, Super Heavy Booster 7 may have already completed similar Raptor thrust simulation tests on the same test stand B7.1 was recently installed on, meaning that SpaceX’s confidence may have been well-placed. However, if the first use of the ‘can crusher’ stand on a Super Heavy test tank finds any problems or ends in failure, B7 and B8 could still be easily rendered unusable or incapable of flight, significantly delaying Starship’s first orbital launch attempt.
Lately, SpaceX has been focused on preparing Starship S24 and Super Heavy B7 for static fire tests that could eventually qualify the pair to support the first orbital test flight. It’s not clear if or when SpaceX will be able to set aside time and evacuate Starbase’s busy orbital launch site to test B7.1 or the EDOME tank.
Investor's Corner
Tesla has its answer to auto growth, it just has to bring it to the U.S.: analyst
Tesla has its answer to grow its automotive sales over the next few years, TD Cowen analyst Itay Michaeli says, but it just has to bring it to the U.S.
On Thursday, Michaeli reiterated his $490 price target and the ‘Buy’ rating he already held on Tesla stock (NASDAQ: TSLA). However, its automotive division has struggled to show sequential growth over the past few years, mostly due to its focus on AI and Full Self-Driving. Tesla already axed two of its lower-volume vehicles with the Model S and Model X earlier this year.
However, Tesla does not need to engineer an entire new vehicle to trigger an upward tick in sales; it just has to bring it from China to the U.S., Michaeli said.
He is talking about the Model Y L, a slightly larger version of the all-electric crossover that is already available in China. U.S. customers have been pleading with CEO Elon Musk to bring it to the country since its launch in Asia last year, but he’s not convinced of it because of the advent of self-driving and its importance in this particular market.
The problem is that Tesla owners have been requesting something larger that could fit a typical American family. The Model Y L is slightly larger than the standard Model Y, but some are concerned that it could still be too small to fit what most people might need.
Instead, they have asked for a full-size SUV from Tesla.
Tesla gives big hint that it will build Cyber SUV, smaller Cybertruck
Nevertheless, the Model Y L still presents a great opportunity for Tesla in the U.S., and Michaeli says that there is an additional sales opportunity of about 100,000 units, with demand potential falling somewhere between 60,000 and 135,000 units.
TD Cowen’s note to investors also analyzed that Tesla’s growth could come from a stock perspective as well, positively impacting the stock price, as it has been widely reliant on vehicle sales, even though Tesla has truly phased itself away from that being an important metric.
Tesla stands to gain greatly from the introduction of the Model Y L in the U.S., but only if Elon Musk sees it as a viable fit for the market. Families may need to see Tesla bring something larger to the U.S., or they might be forced to buy from another automaker that offers something that fits is needs for more interior space to haul around the kids.
Elon Musk
Tesla Hardware 3 owners could be made whole this month
Tesla Hardware 3 owners are set to get a new Full Self-Driving version this month as the company plans to release what it is referring to as v14 Lite.
The rollout is not yet confirmed for June, but Tesla executives have stated on several occasions that this more refined FSD iteration will work with their cars and increase its capabilities.
This comes after Tesla admitted during its last Earnings Call that these Hardware 3 vehicles would not be able to achieve Full Self-Driving, something that they did not know when they bought these cars. We regularly receive messages from Hardware 3 owners asking when v14 Lite will come out, what they should expect, and whether it is worth it to upgrade the self-driving computer or buy a new car altogether.
Following future rollout of FSD V14 Lite for HW3 vehicles in the US, we plan on expanding V14 Lite to additional international markets.
This update ensures that HW3 vehicle owners will continue to benefit from ongoing software updates.
Since international rollout is subject to…
— Tesla (@Tesla) April 29, 2026
It is hard not to feel for them; Tesla CEO Elon Musk said at the company’s 2019 Autonomy Day that all vehicles produced at the time, including Hardware 3 cars, had “all the hardware necessary, compute and otherwise, for Full Self-Driving.”
Musk also said in March of that year that, “Anyone who purchased Full Self-Driving will get FSD computer upgrade for free.”
Anyone who purchased full self-driving will get FSD computer upgrade for free. This is the only change between Autopilot HW2.5 & HW3. Going forward “HW3” will just be called FSD Computer, which is accurate. No change to vehicle sensors or wire harness needed. This is v important. https://t.co/lICMpT7xnX
— Elon Musk (@elonmusk) March 29, 2019
However, during the Q1 2026 Earnings Call, Musk admitted that Hardware 3 vehicles would not be capable of FSD, as “It has only 1/8th the memory bandwidth of Hardware 4, and memory bandwidth is one of the key elements needed for unsupervised FSD.”
Tesla has made some effort to remedy these Hardware 3 owners by offering:
- Discounted trade-ins toward AI4 cars
- Hardware retrofits, which would replace the self-driving computer and upgrade all cameras
- Full Self-Driving v14 Lite
The issue is that many of these owners were led to believe their cars would be capable of unsupervised self-driving. Now, they’re left scrambling for options, and while there are several, they will all require more money out of their pockets.
Expectations for Tesla v14 Lite for Hardware 3 Owners
The big differences between the AI4 v14 and v14 Lite for Hardware 3 owners will stem primarily from hardware constraints. Tesla developed v14 Lite with an optimized frame of mind; the v14 neural nets are toned down to run on an HW3 computer.
Tesla v14 will use the same behavior, but its limits will be hardware-related, especially given that the cameras on HW3 vehicles are lower-resolution.
Tesla reveals its plans for Hardware 3 owners who are eager for updates
This will result in potentially more edge cases due to the lower quality perception and less long-range detection, but reaction time and overall confidence should be more refined.
There should also be a handful of additional features that are available on AI4 cars, such as:
- Starting Full Self-Driving from Park
- Auto Shift
- Streaks
- Speed Profiles
- Improved Dynamics, like Pulling Over for Emergency Vehicles
Tesla plans to release v14 Lite this month, but we are all familiar with how the company can be with timelines. Additionally, if v14 Lite has not proven to be ready for a wide release, Tesla will slam the brakes on the rollout.
We would anticipate that Tesla is testing v14 Lite internally, and likely has been for several months.
Elon Musk
SpaceXAI just launched into your kitchen with their new app
SpaceXAI just powered its first consumer app and it predicts what you want to buy.
SpaceXAI just made its first move into consumer AI, and it involves your grocery cart. On June 3, 2026, Gopuff and SpaceXAI announced the launch of Go, a Grok-powered shopping assistant built directly into the Gopuff app that predicts what you need before you even start searching for it.
Gopuff is an instant delivery platform that operates more than 400 micro-fulfillment centers across the U.S., delivering everyday essentials, snacks, drinks, and household items in as little as 15 minutes. It is not a restaurant delivery app or a marketplace. It owns its inventory, controls its warehouses, and handles its own logistics, which means it has built one of the most detailed consumer behavior datasets in retail over its 13-year history.
Go combines SpaceXAI’s advanced reasoning, voice, and image generation models with Gopuff’s dataset of hundreds of millions of orders and real-time cultural signals from X to prepare a suggested cart the moment a customer opens the app. It learns each shopper’s habits and automatically builds a personalized cart based on time of day, location, order history, and real-time indicators. Returning customers can check out with a single tap.
Rather than searching for specific items, users can describe a situation like a game-day party or the desire for a healthy breakfast and Go will assemble a cart automatically. It can also predict when shoppers are running low on items like coffee or paper towels and have them packed and delivered in under 15 minutes. Grok voice integration lets users talk to the app in plain conversational language and check out completely hands-free.
Gopuff co-founder and co-CEO Yakir Gola said: “Today, we believe the greatest friction left in commerce is not delivery or instantaneous access to the essentials customers need. It’s the moment before: the thinking, the deciding, the remembering. We’re combining Gopuff’s demand intelligence with xAI’s frontier reasoning to create an everyday shopping experience that feels like a true extension of you.”
Why SpaceX just made a $60 billion bet on AI coding ahead of historic IPO
The timing carries context beyond the product launch. SpaceXAI was formed after SpaceX completed an all-stock merger with Elon Musk’s xAI earlier this year, folding one of the most advanced AI labs in the world into the same corporate structure as the company preparing what could be the largest IPO in history. SpaceXAI is dipping into consumer-focused AI just as it prepares for its public debut, and while Musk has openly discussed building an everything app, this launch uses Grok to power another company’s product rather than launching a standalone consumer platform. Every consumer-facing deployment of Grok ahead of the IPO roadshow adds tangible evidence that SpaceXAI is not just an infrastructure play but a direct competitor in the AI application layer where OpenAI and Google are already fighting for dominance.