Google purchased 10% of SpaceX over a decade ago. After dilution they probably own around 5%.
SpaceX is trading at a whopping 94x revenue. This deal increases SpaceX's revenue by $11 billion per year. If SpaceX maintains this revenue multiplier, then the single deal boosts SpaceX's valuation by 94 x 11 billion = $1 trillion dollars. Google owns 5% of SpaceX, so they make 50 billion dollars. Google spends 10 billion and makes 50 billion, $40 billion profit.
The even better part is that because of this deal, SpaceX is now profitable. The S&P requires companies to demonstrate 12 months of profits before they can enter the index. SpaceX lobbied to have this profitability requirement removed, but S&P said no and refused to rewrite the rules.
Now with this incredible deal, SpaceX is now GAAP profitable under the existing rules, and they get to join the index next year without a rule change.
Edit: seems I'm just a bit behind: "xAI — now part of SpaceX ", seems really strange for a space company to buy an AI company, but I guess rather that, than the other way around.
Actually that seems to be fairly logical? Hardware is what xAI has, and it's in great demand. So sell what makes you money. The real story here is that that xAI hardware is going to be running Gemini and not Grok. Which is to say: Grok basically failed as a frontier AI and they need to pivot to a business model which makes money.
Obviously not everything Musk did was wrong. xAI bought a ton of compute when it was possible to get it. But the product they were going to build with it failed and so now they're deciding to be a landlord.
This IPO is just insane. No way do you justify a $trillion+ valuation based on what amounts to a bunch of commoditized rent seeking endeavors. Datacenters are buildings and chips, and everyone can build those. Starlink is just an ISP with lots of competition at scale (they have the high bandwidth mobile market cornered, but that's a very small market!). Mars is at best a grift on public funding. Even satellite launch services are commoditized and competetive these days.
The future needs more AI compute. No one has enough AI compute.
Memory chip vendors are betting hard on this being a temporary state of affairs that doesn't last, and doesn't warrant commissioning a shitton of new memory foundries.
Musk is betting hard on this staying that way, and is putting the next Colossus into the last place not corrupted by NIMBYs... SPACE!
Suppose tpus were theoretically a million times better, but cannot be produced due to supply chain constraints, this action would still be rational.
My personal take is that this really shows how bottlenecked the entire supply chain is. For such an important commodity there are shockingly few players ready for scale.
"Both SpaceX and Google have the option to terminate the agreement with 90 days’ notice after December 31, 2026"
I'd be interested in how large the range is here across company and region and specific data center and how it relates to companies like Hetzner if at all.
[0] https://www.selc.org/news/xai-built-an-illegal-power-plant-t...
Well considering that ~80% of the price is hardware deprecation, I don't know why they'd be considerably worse than anyone else at negotiating hardware deals.
Typically when you buy in bulk, you have more sway.
Companies like Google also have in-house chips like TPUs that are substantially cheaper for inference for them to make than anyone else can get through Nvidia.
> As part of that deal, Anthropic agreed to pay SpaceX $1.25 billion per month through 2029 to rent all the available compute from its Colossus 1 data center near Memphis, Tennessee, that xAI — now part of SpaceX — originally built for its own artificial intelligence efforts.
I don't get why SpaceX is going public. But anyway, well played, the whole crypto mining that dried out GPUs back in the day seems tiny now.
1. Building datacenters takes time. Months, if not years. They take billions of investment.
2. AI revenue is highly unpredictable. Sure, you can make predictions, but maybe your competitor releases a better model 2 weeks after your release, maybe the new model you built isn't as much better, maybe the chinese models steal your show, etc.
3. AI revenue grows a lot. Anthropic's case is 10x per year.
4. So if you are off by just a year in terms of how much GPU you actually need, then that means a 90% of your compute capacity is wasted, and you go bankrupt.
As a solution, companies buy compute from each other! If one company's model did well, they can buy compute from the company whose model didn't do well (like in the case of grok). It's beneficial for both sides, so positive sum game. So deals like this aren't something bad in itself.
It's nothing new either. In SAAS deals, you often commit to a certain revenue and then pay extra if your revenue exceeds that amount. And power market is cut in two as well: longer term deals plus spot markets. Spot prices are way higher than the longer term deal prices.
Given it's SpaceX of course there is financial engineering involved: the GPUs aren't actually owned by SpaceX but a daughter company, and it's been financed via loans that are backed by pension funds. So it's already the case that pension funds back bear the risks associated with SpaceX's operations.
Right now, the bulk of the AI bubble sits in such debt statements and not in public markets.
https://www.sec.gov/Archives/edgar/data/1181412/000162828026...
It’s only to boost the IPO price. The agreement will last only a few months on paper. I doubt it is a real transaction.
The whole thing looks rather desperate. I wonder what SpaceX's margins are on these contracts.
If you buy into that business model (or pretend to), it makes sense for SpaceX to start selling compute early. Their "earthside compute" clients of today are "skyside compute" clients of tomorrow.
A part of Musk's old pitch for Starlink was: space-based solar makes perfect sense for powering space assets, and no sense whatsoever for powering Earth assets. So you have to find a way to use that power in space to do something economically useful. Comms were the only scalable way to do that, so Starlink it was.
I can see how space-based datacenters would follow the same logic. If SpaceX can make them economical, that is. There's no guarantees of that - but if anyone at all can make space-based datacenters economical, it's SpaceX.
Let's hope burning ten thousand tons of toxic e-waste annually in upper atmoshphere never becomes economical. Or mankind gets to senses and bans externalizing your e-waste problem by burning in atmosphere...
Making use of that is predicated entirely on being able to put a lot of hardware into space cheaply. SpaceX is the undisputed best at that, no one comes close. The question is whether their "best" is good enough to make space datacenters economical.
There are sensors in space that send data to earth it gets processed and then the data is sent back to space then to the end user back on earth. If you do the compute in space you save the space-earth transfer time twice. Latency and availability of bandwidth are both factors.
There may be limited utility for this outside of military.
A datacenter (earthbound or space) itself is a fantastical idea until a mix of events and inventions made it feasible to build them to sell compute.
It’s a engineering challenge not impossible.
After all, it's just an engineering challenge, not impossible.
Compute is "free" at that point because waste heat is coming out of the total energy flux which was already accounted for (because we modeled it as opaque).
Of course swapping out the equipment poses a bit of a challenge. The "helping hands" rate is entirely unaffordable and wait until you see this new DC's physical access policies. 0/10 would not rack with them again.
Given extreme supply constraints, it's very unlikely that Google or Anthropic will just suddenly cancel right after the IPO unless their own demand collapses. And even if this were true, what value would that provide Musk? Could you imagine if your newly public company suddenly received termination notices from your two largest compute customers? Disaster.
Try logic.
What's desperate is announcing a temporary (allegedly) doubling of revenues days before an IPO that has been criticised for being overpriced at 93 times sales.
These data centers were supposed to serve xAI. Now suddenly they get rented out to others. Why the sudden change of plans?
It's either an emergency accounting gimmick or the effective shutdown or repurposing of xAI.
And once the compute crunch is over, they’ll have a lot of overprovisioned data centers with no business to soak up the capacity.
Their stupidity with AI and buying X mostly seems to be about scamming investors to make Musk even richer. Like this particular deal is just them doing what CoreWeave does at a SpaceX valuation.
If they start running Starship anywhere near the way they do Falcon 9, it'll flip into profits. A lot of big bets SpaceX made ride on Starship coming online. I'm honestly surprised Starlink is already so profitable without it.
One of their big named bets includes: orbital datacenters. Which puts this specific deal into perspective.
Wasn't starship supposed to be funded by the NASA contract?
It is other things Musk has gone with Twitter and SpaceX which are shady.
With a light sprinkling of space.
Becoming a broader infrastructure company with xAI.
Obviously Starlink can and will growth. I'm just pointing out how insane the market cap is, when compared to similar scale "connectivity" businesses.
An entire one-hundredth of their proposed valuation!
Does this mean that SpaceX are the only company that really did build some datacenters to put all the million of GPU/TPU/whatever they all talk about everyday?
I mean, Google, Amazon, Meta and Microsoft told investors they spent more than $1B per day last year in CapEx... why on Earth do they (well, Google and Anthropic at least) need to rent compute to SpaceX, of all companies?
xAI built data centers and products that are mostly good for nonconsensual porn and confirming a small group’s biases. So they have a lot of excess capacity, and might as well rent it to the adults.
But to be more serious: It is impossible to say if this is good or bad for XAI without more numbers. What if they bought their compute way over market price and sell it at a loss?