> The basic math is that launching a million tons per year of satellites generating 100 kW of compute power per ton would add 100 gigawatts of AI compute capacity annually, with no ongoing operational or maintenance needs. Ultimately, there is a path to launching 1 TW/year from Earth. > My estimate is that within 2 to 3 years, the lowest cost way to generate AI compute will be in space. This is so obviously false. Fo…
You operate them like Microsoft's submerged data center project: you don't do maintenance, whatever fails fails. You start with enough redundancy in critical components like power and networking and accept that compute resources will slowly decrease as nodes fail No operational needs is obviously ... simplified. You still need to manage downlink capacity, station keeping, collision avoidance, etc. But for a large con…
xAI joins SpaceX
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Re: xAI joins SpaceX
#342Earlier quoted context omitted.
You operate them like Microsoft's submerged data center project: you don't do maintenance, whatever fails fails. You start with enough redundancy in critical components like power and networking and accept that compute resources will slowly decrease as nodes fail No operational needs is obviously ... simplified. You still need to manage downlink capacity, station keeping, collision avoidance, etc. But for a large con…
How do you make a small fortune? Start with a big one. The thing being called obvious here is that the maintenance you have to do on earth is vastly cheaper than the overspeccing you need to do in space (otherwise we would overspec on earth). That's before even considering the harsh radiation environment and the incredible cost to put even a single pound into low earth orbit.
The basic idea of putting compute in space to avoid inefficient power beaming goes back to NASA in the 60s, but the problem was always the high cost to orbit. Clearly Musk expects Starship will change that.
Re: xAI joins SpaceX
#343Earlier quoted context omitted.
Setting aside the possibility it's window dressing for a financial bailout, there would be two ways compute in space makes sense: 1) new technology improves vacuum heat radiation efficiency 2) new technology reduces waste heat generation from compute All the takes I've seen have been focused on #1, but I'm starting to wonder about #2... Specifically spintronics and photonic chips.
If you solve 2, heat dissipation goes away on earth too, so what’s the advantage of space
In all the conversations I've seen play out on hacker news about compute in space, what comes up every time is "it's unviable because cooling is so inefficient".
Which got me thinking, what if cooling needs dropped by orders of magnitude? Then I learned about photonic chips and spintronics.
Re: xAI joins SpaceX
#344Re: xAI joins SpaceX
#345The Goalpost shift continues, If elon were working for me, I would have fired him for having never delivered on any of his projects. Hyperloop > Neuralink > Self-Driving Cars > Robotaxi fleets > Personal Robots > Orbital Datacenters > [Insert next]
Hey now. Huperliop was designed to scuttle California’s light rail project. Which it did. Mission accomplished.
Re: xAI joins SpaceX
#346> The basic math is that launching a million tons per year of satellites generating 100 kW of compute power per ton would add 100 gigawatts of AI compute capacity annually, with no ongoing operational or maintenance needs. Ultimately, there is a path to launching 1 TW/year from Earth. > My estimate is that within 2 to 3 years, the lowest cost way to generate AI compute will be in space. This is so obviously false. Fo…
> The basic math is that launching a 100,000 tons per year of satellites generating 10 kW of compute power per ton would add 1 gigawatt of AI compute capacity annually, with no ongoing operational or maintenance needs. Ultimately, there is a path to launching 0.01 TW/year from Earth. > My estimate is that within 20 to 30 years, the lowest cost way to generate AI compute will be in space.
Re: xAI joins SpaceX
#347Earlier quoted context omitted.
There's clearly rhetorical hyperbole happening there. But assuming that thermal rejection is good in space, & launch costs continue falling, as earth-based data centers become power/grid-constrained, there is a viable path for space power gen. The craziest part of those statements is "100 kW per ton." IDK what math he is doing there or future assumptions, but today we can't even sniff at 10 kW per ton. iROSA [1] on t…
Not to be an Elon defender, but can you back up your 0.15/ton? My own searching puts ROSA orders of magnitude higher. Each array is 600kg (0.6t) and puts out 20kw ( https://space.skyrocket.de/doc_sdat/irosa-1.htm ) which makes 20/0.6 = 33.333 kw/ton
Re: xAI joins SpaceX
#348I am concerned, and haven’t seen anyone else point this out yet, that Musk will move Grok’s CSAM generation capabilities to space to be beyond the reach of terrestrial policing. Does this create some sort of legal loophole here so Musk can do this with impunity?
Re: xAI joins SpaceX
#349> The basic math is that launching a million tons per year of satellites generating 100 kW of compute power per ton would add 100 gigawatts of AI compute capacity annually, with no ongoing operational or maintenance needs. Ultimately, there is a path to launching 1 TW/year from Earth. > My estimate is that within 2 to 3 years, the lowest cost way to generate AI compute will be in space. This is so obviously false. Fo…
It’s completely delusional to think you could operate a data centre in a void with nowhere to put the heat.
Re: xAI joins SpaceX
#350SpaceX is too big to fail. It's important for national security. I wonder if Elon wants to tangle all his businesses into SpaceX so they are all kept afloat by SpaceX's importance.
Why? Let it fail. Bring back NASA.