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SpaceX first Super Heavy ‘test tank’ is almost ready for prime time
SpaceX has almost completed a ‘test tank’ meant to ensure that Starship’s Super Heavy booster is capable of withstanding the immense thrust of more than two-dozen Raptor engines.
Believed to be known as test tank BN2.1, the prototype’s latest appearance comes on the heels of news from CEO Elon Musk that SpaceX has upgraded Super Heavy with one extra Raptor engine – with plans to add another three down the road. The results of that tank’s imminent test campaign will likely be crucial as the company shifts its focus sending Starship to orbit (or close) as soon as possible.
Prior to a new Super Heavy booster ‘thrust puck’ design first spotted on May 29th, at least two separate booster engine section prototypes completed in the last few months sported an earlier variant more akin to a donut. At that point, Super Heavy’s design had a central cluster of eight gimballing, throttleable Raptors surrounded by a ring of 20 Raptor Boost (“RBoost”) engines – a variant meant to trade the ability to throttle for ~25% more thrust.
While Super Heavy booster BN1’s almost immediate scrapping – prior to a single test – guaranteed that major design changes were on the way, exactly what those changes would be was anyone’s guess. The appearance of a new booster ‘thrust puck’ design and Musk’s subsequent announcement that Super Heavy will “initially” have 29 – not 28 – Raptors likely mean that that engine section redesign was a major contributor to BN1’s instant obsolescence. The only other major change SpaceX clearly made with booster BN2 was switching the positions of its liquid methane and liquid oxygen tanks, ensuring that Super Heavy’s heavier oxidizer is closer to the rocket’s base.
Musk also stated that SpaceX will eventually upgrade Super Heavy to 32 engines, giving future boosters a central cluster of 12 engines that the SpaceX CEO says will significantly improve the efficiency of boostback burns.
With 29 identical Raptors, the simplest possible Super Heavy booster would produce up to 5800 tons (12.8M lbf) of thrust at liftoff. If SpaceX has already completed Raptor Boost’s design and qualification and kicked off mass production of a 250-mTf engine, that liftoff thrust climbs to 6800 tons (~15M lbf). If SpaceX achieves performance goals (~210 mTf stock; ~300 mTf RBoost) mentioned by Musk last year, a 32-engine Super Heavy could achieve peak liftoff thrust greater than 8500 metric tons (~18.7M lbf).
Even in its weakest configuration, Super Heavy will still be more than 60% more powerful than Saturn V and 25% more powerful than N1 – the largest rockets to have ever successfully or unsuccessfully flown. That immense thrust demands a structure capable of surviving those extreme forces while simultaneously feeding dozens of Raptors up to ~28 metric tons (~61,000 lb) of propellant every second and withstanding several thousand tons of liquid oxygen – all without leaking, cracking, or flexing too much.
While BN2.1 wont have any of the plumbing associated with dozens of Raptors, nine hydraulic rams will let SpaceX subject its Super Heavy thrust structure to the simulated thrust of some number of engines. Given the presence of nine rams and nine clustered engines, it’s unclear if BN2.1 will only test that main thrust structure or if those rams will somehow be spread out to simulate the thrust of a full 29 engines – 20 of which will instead transfer most or all of their thrust into Super Heavy’s skirt.
Regardless, if successful, BN2.1’s test campaign should leave SpaceX on track to attempt Starship’s inaugural spaceflight as early as Q3 2021. If issues arise, that target could easily slip to Q4 or into 2022, but SpaceX’s test tank campaigns have historically been very successful.
Elon Musk
Tesla confirmed HW3 can’t do Unsupervised FSD but there’s more to the story
Tesla confirmed HW3 vehicles cannot run unsupervised FSD, replacing its free upgrade promise with a discounted trade-in.
Tesla has officially confirmed that early vehicles with its Autopilot Hardware 3 (HW3) will not be capable of unsupervised Full Self-Driving, while extending a path forward for legacy owners through a discounted trade-in program. The announcement came by way of Elon Musk in today’s Tesla Q1 2026 earnings call.
🚨 Our LIVE updates on the Tesla Earnings Call will take place here in a thread 🧵
Follow along below: pic.twitter.com/hzJeBitzJU
— TESLARATI (@Teslarati) April 22, 2026
The history here matters. HW3 launched in April 2019, and Tesla sold Full Self-Driving packages to owners on the understanding that the hardware was sufficient for full autonomy. Some owners paid between $8,000 and $15,000 for FSD during that period. For years, as FSD’s AI models grew more demanding, HW3 vehicles fell progressively further behind, eventually landing on FSD v12.6 in January 2025 while AI4 vehicles moved to v13 and then v14. When Musk acknowledged in January 2025 that HW3 simply could not reach unsupervised operation, and alluded to a difficult hardware retrofit.
The near-term offering is more concrete. Tesla’s head of Autopilot Ashok Elluswamy confirmed on today’s call that a V14-lite will be coming to HW3 vehicles in late June, bringing all the V14 features currently running on AI4 hardware. That is a meaningful software update for owners who have been frozen at v12.6 for over a year, and it represents genuine effort to keep older hardware relevant. Unsupervised FSD for vehicles is now targeted for Q4 2026 at the earliest, with Musk describing it as a gradual, geography-limited rollout.
For HW3 owners, the over-the-air V14-lite update is welcomed, and the discounted trade-in path at least acknowledges an old obligation. What happens next with the trade-in pricing will define how this chapter ultimately gets written. If Tesla prices the hardware path fairly, acknowledges what early adopters are owed, and delivers V14-lite on the June timeline it committed to today, it has a real opportunity to convert one of the longest-running sore subjects among early adopters into a loyalty story.
Elon Musk
Tesla isn’t joking about building Optimus at an industrial scale: Here we go
Tesla’s Optimus factory in Texas targets 10 million robots yearly, with 5.2 million square feet under construction.
Tesla’s Q1 2026 Update Letter, released today, confirms that first generation Optimus production lines are now well underway at its Fremont, California factory, with a pilot line targeting one million robots per year to start. Of bigger note is a shared aerial image of a large piece of land adjacent to Gigafactory Texas, that Tesla has prominently labeled “Optimus factory site preparation.”
Permit documents show Tesla is seeking to add over 5.2 million square feet of new building space to the Giga Texas North Campus by the end of 2026, at an estimated construction investment of $5 billion to $10 billion. The longer term production target for that facility is 10 million Optimus units per year. Giga Texas already sits on 2,500 acres with over 10 million square feet of existing factory floor, and the North Campus expansion is being built to support multiple projects, including the dedicated Optimus factory, the Terafab chip fabrication facility (a joint Tesla/SpaceX/xAI venture), a Cybercab test track, road infrastructure, and supporting facilities.
Credit: TESLA
Texas makes strategic sense beyond the existing infrastructure. The state’s tax structure, lower labor costs relative to California, and the proximity to Tesla’s AI training cluster Cortex 1 and 2, both located at Giga Texas and now totaling over 230,000 H100 equivalent GPUs, means the Optimus software stack and the factory producing the hardware will share the same campus. Tesla’s Q1 report also confirmed completion of the AI5 chip tape out in April, the inference processor designed specifically to power Optimus units in the field.
As Teslarati reported, the Texas facility is intended to house Optimus V4 production at full scale. Musk told the World Economic Forum in January that Tesla plans to sell Optimus to the public by end of 2027 at a price between $20,000 and $30,000, stating, “I think everyone on earth is going to have one and want one.” He has previously pegged long term demand for general purpose humanoid robots at over 20 billion units globally, citing both consumer and industrial use cases.
Tesla (NASDAQ: TSLA) reported its earnings for the first quarter of 2026 on Wednesday afternoon. Here’s what the company reported compared to what Wall Street analysts expected.
The earnings results come after Tesla reported a miss on vehicle deliveries for the first quarter, delivering 358,023 vehicles and building 408,386 cars during the three-month span.
As Tesla transitions more toward AI and sees itself as less of a car company, expectations for deliveries will begin to become less of a central point in the consensus of how the quarter is perceived.
Nevertheless, Tesla is leaning on its strong foundation as a car company to carry forward its AI ambitions. The first quarter is a good ground layer for the rest of the year.
Tesla Q1 2026 Earnings Results
Tesla’s Earnings Results are as follows:
- Non-GAAP EPS –Â $0.41 Reported vs. $0.36 Expected
- Revenues –Â $22.387 billion vs. $22.35 billion Expected
- Free Cash Flow –Â $1.444 billion
- Profit –Â $4.72 billion
Tesla beat analyst expectations, so it will be interesting to see how the stock responds. IN the past, we’ve seen Tesla beat analyst expectations considerably, followed by a sharp drop in stock price.
On the same token, we’ve seen Tesla miss and the stock price go up the following trading session.
Tesla will hold its Q1 2026 Earnings Call in about 90 minutes at 5:30 p.m. on the East Coast. Remarks will be made by CEO Elon Musk and other executives, who will shed some light on the investor questions that we covered earlier this week.
You can stream it below. Additionally, we will be doing our Live Blog on X and Facebook.
Q1 2026 Earnings Call at 4:30pm CT https://t.co/pkYIaGJ32y
— Tesla (@Tesla) April 22, 2026
Tesla confirmed HW3 can’t do Unsupervised FSD but there’s more to the story
Tesla isn’t joking about building Optimus at an industrial scale: Here we go
