zlacker

>>g-mork+(OP)
> 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. For one thing, in what fantasy world would the ongoing operational and maintenance needs be 0?

>>rybosw+u5
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 constellation the per-satellite cost of that would be pretty small.

>>wongar+z8
An 8 GPU B200 cluster goes for about $500k right now. You'd need to put thousands of those into space to mimic a ground-based data center. And the launch costs are best case around 10x the cost of the cluster itself.

Letting them burn up in the atmosphere every time there's an issue does not sound sustainable.

>>rybosw+Xa
Are launch costs really 10x!? Could I get a source for that?

In the back on my head this all seemed astronomically far-fetched, but 5.5 million to get 8 GPUs in space... wild. That isn't even a single TB of VRAM.

Are you maybe factoring in the cost to powering them in space in that 5 million?

>>sogane+Ng
You also need square kms of radiators to cool 100MW