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SpaceX’s next three-Raptor Starship static fire delayed by winds, says Elon Musk

SpaceX CEO Elon Musk says that Starship SN8's next triple-Raptor static fire test has been delayed by high winds in South Texas. (NASASpaceflight - bocachicagal)

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CEO Elon Musk says that SpaceX’s second three-Raptor Starship static fire test has been delayed several days by bad weather at the company’s South Texas launch facilities.

Prior to Musk’s tweet, all signs pointed to a second static fire test as early as 5am to 11am CDT on Friday, October 30th – made official by a paper safety notice SpaceX distributes to remaining Boca Chica Village residents around 12-24 hours prior. Unfortunately, however, Musk says that SpaceX ran into “some challenges with high winds” – seemingly canceling today’s static fire attempt.

SpaceX has successfully installed three Raptors on Starship SN8 and is scheduled to attempt the first triple-engine static fire as early as October 14th. (Elon Musk)

On the other hand, there’s a chance that SpaceX’s October 30th safety warning and 5am-11am window could be for Starship SN8’s first wet dress rehearsal (WDR) with a nosecone (and thus a liquid oxygen header tank) installed. A wet dress rehearsal refers to the process of putting a rocket through a flow identical to what is done on launch day – albeit short of actually igniting or launching the rocket. In that sense, it’s essentially one step shorter than a static fire.

Road closure filings prior to November 1st are ambiguous, however, with no specific purpose disclosed. Technically, as long as SpaceX doesn’t perform a static fire or flight test without giving residents significant prior notice and necessary FAA/FCC approvals, road closures can more or less be used to whatever end the company deems necessary.

As far as triple-Raptor static fire testing goes, it’s unclear how anything less than mechanically dangerous wind conditions could interfere with Starship. Given that winds of 20-30 mph (and gusts even higher) are far from uncommon on the South Texas coast, Starship will need to be able to tolerate – and launch in – even worse weather.

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Starship SN8 is no longer attached to a crane at its nose, leaving the task of withstanding wind sway entirely up to the launch mount and the rocket’s rigidity. (NASASpaceflight – bocachicagal)

Prototype testing is substantially different than operational flight procedures, though, and well-characterized test conditions and repeatability are essential for a company like SpaceX where the ‘build-test-fly-fail’ philosophy is the foundation of R&D. The process of functionally and permanently mating Starship SN8’s tank/engine and nose sections – a first for the Starship program – began less than ten days ago, so Musk is most likely referring to wind disrupting SN8’s on-pad integration.

SpaceX’s extensive reliance upon wheeled boom lifts to ferry workers around and inside Starship SN8 and the sheer scale and surface area of the rocket likely translate to an unsteady and relatively unsafe work environment in high winds.

Regardless of whether SpaceX actually puts Starship SN8 through any kind of tests on October 30th, the company has four more road closures (i.e. test windows) scheduled from Sunday to Wednesday. Aside from a 7pm to 1am CST (UTC-6) window on November 1st, SpaceX’s Mon-Wed testing will occur between 9am and 11pm. In Cameron County, Texas regulatory documents, SpaceX says it will use those windows for “SN8 Nose Cone Cryoproof” testing, referring to the process of filling the rocket’s tanks with supercool liquid nitrogen to verify their behavior at extreme temperatures.

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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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.

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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.

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.

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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.

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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.

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Investor's Corner

Tesla (TSLA) Q1 2026 earnings results: beat on EPS and revenues

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Credit: Tesla

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 – $0.41 Reported vs. $0.36 Expected
  • Revenues – $22.387 billion vs. $22.35 billion Expected
  • Free Cash Flow – $1.444 billion
  • Profit – $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.

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