Even just Meta dwarfs Twitter's cluster, with an estimated 350k H100s by now.
Meta said they would expand their infrastructure to include 350k GPUs by the end of this year. But, my guess is they meant a collection of AI clusters not a singular large cluster. In the post where they mentioned this, they shared details on 2 clusters with 24k GPUs each.https://engineering.fb.com/2024/03/12/data-center-engineerin...
Huang is still a CEO trying to prop up his product. He'd tell you putting an RTX4090 in your bathroom to drive an LED screen mirror is unprecedented if it meant it got him more sales and more clout.