A look at the Nvidia A100, a ~$10K GPU that has become a critical tool for generative AI; Nvidia has an estimated 95% market share of machine learning GPUs
Kif Leswing / CNBC : Tweets: @nightingale_p , @stagefright__ , and @sarbjeetjohal Tweets: Paul Nightingale / @nightingale_p : AI infrastructure isn't cheap. Making chips isn't easy. $80bn on upgrading servers a chunk of change for anyone.... https://twitter.com/... Ilija / @stagefright__ : 8 high-powered graphic cards each at 300W to compute a single answer to your chatGPT quip. if true that's at least 2400 Watts thrown at every question. for context my Macbook's (M1 Max) chip draws around 65W at max load https://twitter.com/... https://twitter.com/... Sarbjeet Johal / @sarbjeetjohal : .@nvidia jumps 14% after stellar earnings and a rosy outlook. Around 60% of their revenue comes from datacenter, most of that is from #Cloud #hyperscalers. IMO Nvidia will keep benefitting from rise of #AI #MWC23 #Barcelona @dvellante @furrier https://www.cnbc.com/...