3 ms·
Google did a study with their TPU v6 > For ML accelerators to be effective in space, they must withstand the environment of low-Earth orbit. We tested Trillium
by eldenring 10mo ago
Google did a study with their TPU v6
> For ML accelerators to be effective in space, they must withstand the environment of low-Earth orbit. We tested Trillium, Google’s v6e Cloud TPU, in a 67MeV proton beam to test for impact from total ionizing dose (TID) and single event effects (SEEs).
>
> The results were promising. While the High Bandwidth Memory (HBM) subsystems were the most sensitive component, they only began showing irregularities after a cumulative dose of 2 krad(Si) — nearly three times the expected (shielded) five year mission dose of 750 rad(Si). No hard failures were attributable to TID up to the maximum tested dose of 15 krad(Si) on a single chip, indicating that Trillium TPUs are surprisingly radiation-hard for space applications.
- remarkEon 10mo agoDo you have a link to this?
- aspenmayer 10mo agoI'm not the person you asked, but it appears to be a direct quote from this page, previously on HN: Exploring a space-based, scalable AI infrastructure system design - https://research.google/blog/exploring-a-space-based-scalable-ai-infrastructure-system-design/ https://research.google/blog/exploring-a-space-based-scalabl... - https://news.ycombinator.com/item?id=45813267 https://news.ycombinator.com/item?id=45813267 (Nov 4 2025, 44 points, 73 comments) > Project Suncatcher is a moonshot exploring a new frontier: equipping solar-powered satellite constellations with TPUs and free-space optical links to one day scale machine learning compute in space.