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[return to "Data centers in space makes no sense"]
1. beloch+kK[view] [source] 2026-02-03 23:33:46
>>ajyoon+(OP)
I would not assume cooling has been worked out.

Space is a vacuum. i.e. The lack-of-a-thing that makes a thermos great at keeping your drink hot. A satellite is, if nothing else, a fantastic thermos. A data center in space would necessarily rely completely on cooling by radiation, unlike a terrestrial data center that can make use of convection and conduction. You can't just pipe heat out into the atmosphere or build a heat exchanger. You can't exchange heat with vacuum. You can only radiate heat into it.

Heat is going to limit the compute that can be done in a satellite data centre and radiative cooling solutions are going to massively increase weight. It makes far more sense to build data centers in the arctic.

Musk is up to something here. This could be another hyperloop (i.e. A distracting promise meant to sabotage competition). It could be a legal dodge. It could be a power grab. What it will not be is a useful source of computing power. Anyone who takes this venture seriously is probably going to be burned.

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2. atleas+qL[view] [source] 2026-02-03 23:39:06
>>beloch+kK
Its very simple, xAI needs money to win the AI race, so best option is to attach to Elon’s moneybank (spacex) to get cash without dilution
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3. Findec+NU[view] [source] 2026-02-04 00:32:24
>>atleas+qL
> win the AI race

I keep seeing that term, but if it does not mean "AI arms race" or "AI surveillance race", what does it mean?

Those are the only explanations that I have found, and neither is any race that I would like to see anyone win.

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4. bigstr+S11[view] [source] 2026-02-04 01:17:34
>>Findec+NU
Big tech businesses are convinced that there must be some profitable business model for AI, and are undeterred by the fact that none has yet been found. They want to be the first to get there, raking in that sweet sweet money (even though there's no evidence yet that there is money to be made here). It's industry-wide FOMO, nothing more.
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5. hannas+kp1[view] [source] 2026-02-04 04:38:55
>>bigstr+S11
People keep saying this but it's simply untrue. AI inference is profitable. Openai and Anthropic have 40-60% gross margins. If they stopped training and building out future capacity they would already be raking in cash.

They're losing money now because they're making massive bets on future capacity needs. If those bets are wrong, they're going to be in very big trouble when demand levels off lower than expected. But that's not the same as demand being zero.

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6. adgjls+Xv1[view] [source] 2026-02-04 05:46:58
>>hannas+kp1
those gross profit margins aren't that useful since training at fixed capacity is continually getting cheaper, so there's a treadmill effect where staying in business requires training new models constantly to not fall behind. If the big companies stop training models, they only have a year before someone else catches up with way less debt and puts them out of business.
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