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DeepSpace: Europe reveals Mars sample return spacecraft as SpaceX builds Starships

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7 years ago

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The European Space Agency (ESA) revealed a concept for a spacecraft that would work alongside NASA to return samples of Martian soil to Earth. (ESA)

Eric Ralph · May 28th, 2019

Welcome to the latest edition of DeepSpace! Each week, Teslarati space reporter Eric Ralph hand-crafts this newsletter to give you a breakdown of what’s happening in the space industry and what you need to know. To receive this newsletter (and others) directly and join our member-only Slack group, give us a 3-month trial for just $5.

On May 27th, the European Space Agency (ESA) published updated renders of a proposed spacecraft, called the Earth Return Orbiter (ERO). ERO would be the last of four critical elements of a joint NASA-ESA Mars sample return mission, meant to return perhaps 1-5 kg (2-11 lb) of Martian samples to scientists on Earth. In a best-case scenario, such a sample return is unlikely to happen before the tail-end of the 2020s and will probably slip well into the 2030s, barring any unexpected windfalls of funding or political support.

Enter SpaceX, a private American company developing Starship/Super Heavy – a massive, next-generation launch vehicle – with the goal of landing dozens of tons of cargo and just as many humans on Mars as few as 5-10 years from now. The radically different approaches of SpaceX and NASA/ESA are bound to produce equally different results, while both are expected to cost no less than $5B-$10B to be fully realized. What gives?

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The high price of guaranteed success

  • As proposed, the Mars sample return mission will be an extraordinary technical challenge.
    • At a minimum, the current approach involves sending a single-stage-to-orbit (SSTO) rocket from Earth to Mars, landing the SSTO with extreme accuracy on the back of a new Mars lander, deploying a small rover to gather the sample container, loading that container onto the tiny rocket, launching said rocket into Mars orbit, grabbing the sample with large orbiter launched from Earth, and returning said sample to Earth where it will reenter the atmosphere and be safely recovered.
  • This downright Rube Golberg machine-esque architecture is nevertheless the best currently available with current mindsets and hardware. It’s also likely the only way NASA or ESA will independently acquire samples of Mars within the next few decades, barring radical changes to both the mindsets and technologies familiar and available to the deeply bureaucratic spaceflight agencies.
  • However, this is by no means an attempt to downplay the demonstrated expertise and capabilities of the space agencies and their go-to contractors. Both ESA and NASA have a decades-long heritage of spectacular achievements in robotic space exploration, reaching – however briefly, in some cases – almost every major planet and moon in the solar system.
    • The NASA-supported Jet Propulsion Laboratory (JPL) remains a world-leading expert of both designing, building, and landing large, capable, and long-lived rovers/landers on the surface of Mars. JPL also has a track record of incredible success with space-based orbiters, including Cassini (Saturn), Magellan (Venus), Galileo (Jupiter), Voyager (most planets, now in interstellar space), Stardust (comet sample return), Mars Reconnaissance Orbiter (MRO, Mars orbiter) and more.
  • This success, however, can often come with extreme costs. NASA’s next Mars rover – essentially a modified copy of the Curiosity rover currently operating on Mars and a critical component of the proposed sample return – is likely to cost more than $2B, while Curiosity cost ~$2.5B. The Cassini Saturn orbiter cost around ~$3.5B for 15 years of scientific productivity. ESA’s Rosetta/Philae comet rendezvous cost at least $2B total. In the scheme of things, it would be hard to think of a more inspiring way to spend that money, but the fact remains that these missions are extremely expensive.

High risk, high reward

  • The price of missions like those above may, in fact, be close to their practical minimum, at least relative to the expectations of those footing the bill. However, it’s highly likely that similar results could be achieved on far tighter budgets, another way to say that far more returns could potentially be derived from the same investment.
    • The easiest way to explain this lies in the fact that the governments sponsoring and funding ESA and NASA have grown almost dysfunctionally risk-averse, to the extent that failure really isn’t an option in the modern era. Stakeholders – often elected representatives – expect success and often demand a guaranteed return on their support before choosing to fight for a given program’s funding.
    • As it turns out, an unwillingness to accept more than a minute amount of risk is not particularly compatible with affordably attempting to do things that are technically challenging and have often never been done before. That happens to be a great summary of spaceflight.
    • As risk aversion and the need for guaranteed success grew hand-in-hand, a sort of paradox formed. As politicians strove to ensure that space agency funding was efficiently used, space agencies became far more conservative (minimizing results and the potential for leaps forward) and the cost of complex, capable spacecraft grew dramatically.
    • The end result: spacecraft that are consistently reliable, high-performance, derivative, and terrifyingly expensive.
  • SpaceX is in many ways an anathema of the low-risk, medium-reward, high-cost approach that government space agencies and their dependent contractors have gravitated towards over the last 40-50 years. Instead, SpaceX accepts medium to high risk to attain great rewards at a cost that space agencies like NASA and ESA are often unable to accept as possible after decades of conservatism.
    • This is the main reason that it’s possible that NASA/ESA and SpaceX will both succeed in accomplishing goals at a dramatically disproportionate scale with roughly the same amount of funding.
    • If NASA/ESA bite the bullet and begin to seriously fund their triple-launch Mars Sample Return program, the missions will take a decade or longer and cost something like $5 million per gram of soil returned to Earth, but success will be all but guaranteed.
    • Both SpaceX’s Starship/Super Heavy and Mars colonization development programs run significant risks of hitting major obstacles, suffering catastrophic failures, and could even result in the death of crew members aboard the first attempted missions to Mars.
    • For that accepted risk, the rewards could be unfathomable and the costs revolutionary. SpaceX could very well beat the combined might of ESA and NASA to return large samples of Martian soil, rock, and water to Earth, all while launching ~100,000 kg into Martian orbit instead of the sample return’s ~10 kg.
    • In a best-case scenario, SpaceX could land the first uncrewed Starship on Mars as early as 2022 or 2024. Barring some unforeseen catastrophe or the company’s outright collapse, that first uncrewed Mars landing might happen as late as the early 2030s, around the same time as NASA and ESA’s ~10kg of Mars samples will likely be reentering Earth’s atmosphere.
  • Regardless of which approach succeeds first, space exploration fans and space scientists will have a spectacular amount of activity to be excited about over the next 10-20 years.
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– Eric
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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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Elon Musk dispels $52 billion SpaceX-NVIDIA GPU deal: ‘Fake news’

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49 minutes ago

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July 20, 2026

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Credit: SpaceX

Elon Musk dismissed reports claiming SpaceX had placed a massive order for NVIDIA GPUs worth $52 billion. The denial came hours after Taiwanese media, citing unnamed industry sources, reported that SpaceX planned to acquire approximately 13,000 AI server racks, equating to roughly 1 million GB300 GPUs, from Foxconn.

Each rack was estimated at around $4 million, with deliveries potentially starting in late 2025.

The story suggested this would mark SpaceX’s first major foray into Foxconn-manufactured NVIDIA hardware, breaking from suppliers like Supermicro and Dell. Musk responded bluntly on X:

Despite the denial, the rumored scale aligns with SpaceX’s explosive growth in AI infrastructure. NVIDIA’s GB300 (successor to the GB200 NVL) racks deliver unprecedented performance for large-scale training and inference. A $52 billion commitment would dwarf most corporate AI budgets and provide the compute muscle needed for frontier models.

SpaceX already operates gigawatt-scale terrestrial clusters like Colossus in Memphis, Tennessee, and has monetized them aggressively through leasing deals.

SpaceX’s newest Starmind will make earth data centers obsolete

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Major customers include Anthropic (paying ~$1.25 billion monthly for 220,000+ GPUs), Google (~$920 million monthly for 110,000 GPUs), and Reflection AI. These arrangements are projected to generate tens of billions in annual revenue, far outpacing traditional SpaceX businesses.

Such an investment would fuel internal AI efforts, particularly Grok models under the integrated SpaceXAI division, while supporting ambitious orbital data center plans. SpaceX envisions launching thousands of AI-optimized satellites powered by solar energy and cooled in space, bypassing terrestrial power and land constraints.

This “Starmind” constellation could position the company as a leader in space-based computing.

SpaceX as an Emerging AI Powerhouse

Once primarily known for reusable rockets and Starlink satellite internet, SpaceX has transformed into a multifaceted AI player.

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The 2026 acquisition of xAI integrated Grok development directly into the company. Starlink’s low-latency global network complements massive compute clusters, enabling efficient data flow for training and serving AI models.

Musk has long argued that AI scaling demands solutions beyond Earth, citing things like real estate and electricity limits on the ground.

While the Foxconn deal may not be in the cards, SpaceX’s trajectory is continuing on the path of blending aerospace engineering with hyperscale AI to dominate both launches and intelligence infrastructure.

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Elon Musk

Elon Musk sheds details on Tesla FSD’s upcoming improvements

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1 hour ago

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July 20, 2026

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Credit: Tesla

Elon Musk shed more details on the upcoming improvements to Tesla’s Full Self-Driving suite, specifically one that the CEO mentioned last week, which should help owners see fewer interventions.

Last week, Musk hinted that one major improvement that Tesla planned to roll out to Full Self-Driving users was the car’s ability “to remember your specific interventions and match each person’s individual preferences.”

Elon Musk says your Tesla will start to learn your individual preferences

This small bit of detail was linked to a post from Tesla community member Whole Mars, who said that FSD’s tendency to exit the carpool lane, a feature that owners can turn on but at times the car will disregard.

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It sounds like, based on Musk’s two responses since that original post, it is safe to say the things FSD will start to remember are wide-ranging. However, it seems the biggest differences will be noticed with parking performance, which Musk continues to mention.

Highway Lane Preferences

The initial post Musk mentioned, with these new remembered preferences soon to arrive for Tesla owners everywhere, was the Carpool/Express Lane.

Tesla has a setting in the FSD menu that lets drivers enable HOV Lane travel. However, the car won’t always stay in that suggested or preferred lane.

Some owners have also complained of left lane camping, an illegal maneuver in at least some states. Cruising in the passing lane has resulted in tickets for some, as it is illegal in over 30 states in the U.S.

Tesla did not confirm if these preferences would also be included in new FSD behaviors, but it would certainly help move the company toward fewer interventions.

Parking Preferences

This seems to be the real focus of the entire operation, as Musk stated several weeks ago that parking was overwhelmingly the most frequent reason for interventions.

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The major issue with parking is not necessarily the parking “performance,” as FSD is generally good at parking. It definitely has its issues; we’ve recorded plenty of them, including this one as recent as last week:

However, the changes coming are more about preferences, meaning where you park and how your car enters the spot, either pulling in or backing in. Owners have also reported that pulling into the correct driveway is a relatively rare thing for FSD, something else that needs to be confronted.

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Musk basically confirmed that all of these things would be part of Tesla’s plan to address driver preferences with FSD:

It’s obvious there is something big coming with FSD, and the company’s focus seems to be eliminating any intervention that would be related to preferences. This is probably the biggest bottleneck between Tesla and being fully autonomous. Critical interventions do occur, but they are much less frequent.

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The only time a driver should be taking over is because of a critical intervention; this seems to be the goal of Tesla right now.

This all seems to be a priority as Tesla continues to move closer to the prospect of unsupervised driving.

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Elon Musk

Elon Musk says your Tesla will start to learn your individual preferences

Published

2 days ago

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July 18, 2026

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Credit: Tesla

Elon Musk said today on X that Teslas will start to learn your individual preferences. This is something that he seemed to hint toward earlier this month when he said parking was by far the biggest reason drivers intervene with Full Self-Driving.

Musk made the comment in response to notable Tesla influencer Whole Mars, who said that his vehicle will sometimes disobey the settings he has enabled for his car. He responded to the post, stating that “The car will start to remember your specific interventions and match each person’s individual preferences.”

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This is something that could be perhaps one of the biggest ways Tesla could minimize or even work closer toward eliminating interventions altogether. While FSD does a lot of things really well, many people intervene a vast majority of the time not due to major or critical safety errors.

Instead, many take over because the car is doing something that they do not like as a preference; it might park in a parking spot that is not preferred by the driver, it might linger too long in the left lane on the highway (a personal favorite), or it could even take a route that the driver does not like.

These all lead to interventions, but they are not triggered by a major safety issue. Instead, it’s just preference.

READ OUR REVIEW OF TESLA’S LATEST FSD VERSION:

Tesla Full Self-Driving v14.3.5 Early Impressions: new features and early performance

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If Teslas could start to learn the personal preferences of the person who owns them, interventions will truly begin to be less frequent. Some of this is already pretty evident, in my opinion. Teslas use a neural network to learn behaviors and accumulate data to improve performance.

For months now, we’ve tracked FSD’s performance at “Except Right Turn” stop signs, something that is very common in Pennsylvania, but many of our readers located in other parts of the U.S. have never heard of. FSD handles one Except Right Turn stop sign very well, one that I travel past frequently. Others that I do not navigate through as often do not have as confident a performance. It seems like the cars might already be doing this to an extent.

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That example is also for something that is a street sign and not necessarily a driver preference; however, I still feel it is worth mentioning because it only handles that commonly passed Except Right Turn stop sign with true confidence. Others it still seems to struggle with.

This could be one of Tesla’s big moves toward full autonomy, and it could be a pathway to truly unsupervised driving. Every day, millions of cars on the road travel at a human driver’s personal preferences with no incident. Why can’t autonomous vehicles still cater to a passenger’s preferences while being autonomous? Tesla seems to have the idea that it would be possible.

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