Begs the question: If bulk (edge) memory were cheap (and available), could the modeling optimization speed be orders of magnitude better?
Thought: If truly raw data were available you could go back and re-process it much more effectively.
Of course Sense must have thought about this in depth when designing the system and spec’ing the edge memory. I’m wondering though if a certain number of test-bed systems (with TB of memory) wouldn’t accelerate things? With 8TB of edge memory you could get almost 12 days of data!
The next question is likely: Could you then ingest that data and process it at the edge without also beefing up the Sense itself … probably only in the lab.
Then again, Folding@home reached 146K TeraFLOPS and SETI@home was on over 5 million PCs. These days: Bitcoin. Wouldn’t it be fun to watch your PC power consumption in the Sense PM this time around!
Maybe that wasn’t such a crazy idea @markandcarrie2004 !
Bitwatt? Wattcoin?