AI Lab · by Hamza Malik · 2026-10-20
Inside Prometheus: Meta's gigawatt-scale GB200/GB300 supercluster
78 sparks · 18 comments
AI Lab · by Hamza Malik · 2026-10-20
78 sparks · 18 comments
Ananya Rao · 14 likes
serious question, where is all the power coming from and who pays when the grid gets tight
Narin Chai · 12 likes
this is the part of the ai boom nobody wants to discuss at earnings calls
Chiara Romano · 9 likes
the local ratepayers, usually
Rafael Almeida · 12 likes
Cooling must be insane. Is it all liquid now at this density?
Noah Johansson · 10 likes
pretty much has to be for those racks from what I understand
Tiny Mango · 11 likes
engineering blog posts like this are honestly the best thing meta does for the community
Minji Kim · 3 likes
between this and the open hardware stuff, yeah, credit where due
Camille Dubois · 11 likes
my homelab draws 400W and my partner thinks thats too much
Urban Fern · 2 likes
show them this article, instant perspective
Bilal Raza · 10 likes
Mixing GB200 and GB300 in one cluster sounds like a scheduling headache. Would love to know how they handle the heterogeneity for a single training job
Liam Wilson · 1 likes
that'd be my guess too, nobody wants stragglers on a run that size
Rafael Almeida · 0 likes
probably split by job type rather than mixing in one run, but I'm guessing
Tola Ibrahim · 7 likes
the reliability part is what interests me. at this scale something is always failing, checkpointing strategy is everything
Daniela Torres · 11 likes
the section on failures was the best part for me
Mehdi Benali · 5 likes
compute was never the bottleneck for meta's models, imo it's been research direction and execution
Amelia Hughes · 1 likes
spicy but probably true
Yui Tanaka · 1 likes
the fact that we talk about clusters in gigawatts now is wild. that's a city's worth of power
Camila Rocha · 3 likes
and we're arguing about whether it can write a for loop properly