02:42:05 <gingeropolous> ullbeking, primary goals now are high-mem, high speed storage to facilitate data analysis... 
03:09:56 <ullbeking> gingeropolous: thank you for summarizing those interesting goals...
03:10:08 <ullbeking> i used to do infrastructure work for a few years
03:10:12 <ullbeking> SRE
03:10:54 <ullbeking> gingeropolous: what is an example of a problem that needs to be solved?  and do we have the resources?
03:12:39 <ullbeking> i'll read the backlog and try to find something
03:16:19 <ullbeking> gingeropolous: have you started building the infra for analysis?  i'd be very interested to throw ideas back and forth, if you like.
03:45:50 <gingeropolous> sure! 
03:47:08 <gingeropolous> i don't wanna spam the lab with non-math talk though. if your on matrix i started monero-research-computing ullbeking 
03:48:12 <gingeropolous> but basically, as i understand it, we essentially need the resources to do the same kind of graph analyses etc. that the companies are doing. 
10:13:08 <merope> xmr-ack: found this library and thought it might interest you (and anyone looking to speed up AI/ML work): https://github.com/nebuly-ai/nebullvm
13:16:17 <xmr-ack[m]> endor00: This is really interesting, thanks for sharing.