4 ms·
Something like 1,5Tb memory to run this model in inference mode.
by motoboi 4y ago
Something like 1,5Tb memory to run this model in inference mode.
- antonvs 4y agoIs that really all? We regularly run multi TB memory clusters for big data processing and ML. I imagined it would be much bigger than that. To put that in perspective, 24x 64 GB nodes is 1.5 TB.
- albntomat0 4y agoMy understanding is that all the memory has to be GPU memory, with proper interconnects. Still not that crazy, all things considered
- lossolo 4y ago> 24x 64 GB nodes is 1.5 TB Looking at your calculations indicates that you mean RAM but it's 1.5 TB GPU VRAM (but this is assuming they use 64 bit precision, which is likely wrong so it's ~750 GB), not RAM.
- lossolo 4y agoYou meant 700 GB? 32 bit precision in 175B model is around ~700GB + overhead or around 350 GB if they use half-precision.
- motoboi 4y agoI was wrong. It seems they use fall precision. So 350gb. What is amazing, human language (languages?) and knowledge encoded in so little space.