• vrighter@discuss.tchncs.de
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    11 hours ago

    well any actual engineer who isn’t trying to sell them will readily tell you that a datacenter in space is a very bad idea.

    • FaceDeer@fedia.io
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      11 hours ago

      They’d better not try to sell them to anyone who has access to an engineer, then. Just a single engineer will bring the whole scheme crashing down.

      • vrighter@discuss.tchncs.de
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        10 hours ago

        and forget about running 4nm chips in space. shit has to be radiation hardened, which means bigger process nodes and higher energy cost, and lower speed

        • FaceDeer@fedia.io
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          10 hours ago

          Another thing they probably didn’t think of. Nobody’s run chips in space before.

          • vrighter@discuss.tchncs.de
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            8 hours ago

            they did think of it. lots of people have. I just mentioned what was required. Rad hardened processors are usually 10 to 20 times slower than what we have on the surface

      • vrighter@discuss.tchncs.de
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        10 hours ago

        for starters, at the loads they’re running at, they have literally hundreds of gpu failures a day. How do you propose doing that in space?

        • FaceDeer@fedia.io
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          10 hours ago

          Include spares.

          I hope they’re reading this thread and taking notes, they probably didn’t think of that.

          • vrighter@discuss.tchncs.de
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            10 hours ago

            and the infrastructure and robotics to replace them, of course.

            Assuming 200 nvidia H100 failures a day (conservativo, reality is worse) that’s an extra ~340kg of weight you’d need to launch per day. Which is an extra 120 tons yearly.

              • vrighter@discuss.tchncs.de
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                8 hours ago

                at least two, you can’t stuff a rocket full of just gpus, you need something to actually dock and deliver the payload in space. So you need to launch at least 2 rockets (in a non-reusable configuration, so you need to pay for the whole rocket and the launch) to ship a bunch of gpus that are, at best, only 10% as fast as usual.