Bit ce zanimljivo vidjeti kakav ce ovo clusterf*ck biti. Because... facebook...
nije zgorega napomenuti da se računalce sastoji od nvidia hardvera (čisto da malo nasekiram ramboxa 
) link
Phase one of RSC is already up and running and consists of 760 Nvidia GGX A100 systems containing 6,080 connected GPUs (a type of processor that’s particularly good at tackling machine learning problems). Meta says it’s already providing up to 20 times improved performance on its standard machine vision research tasks.
Before the end of 2022, though, phase two of RSC will be complete. At that point, it’ll contain some 16,000 total GPUs and will be able to train AI systems “with more than a trillion parameters on data sets as large as an exabyte.” (This raw number of GPUs only provides a narrow metric for a system’s overall performance, but, for comparison’s sake, Microsoft’s AI supercomputer built with research lab OpenAI is built from 10,000 GPUs.)
