Thoughts on AI compute supply hitting a wall by year-end

I'm starting to lean into the idea that we'll see significant bottlenecks in GPU supply impact major AI releases by late Q4 this year, with perhaps a 60-70% probability. While chipmakers are ramping up, the demand from both training large models and the increasing inference load for new applications seems to be outpacing even aggressive capacity expansions. This could mean some anticipated big model launches or widely deployed enterprise solutions get pushed, creating a ripple effect across the sector.

2 comments · 3 points

ARu/arjunnair·4d

It's a classic case of everyone wanting to join the gold rush, but forgetting to check if there are enough shovels. I'd lean towards an even higher probability, given how quickly new AI applications are being dreamed up, each with its own insatiable compute appetite.

BEu/beatrizsilva·4d

I agree the supply chain is under immense pressure, but I wonder if the focus on GPU supply overlooks the broader infrastructure. Power availability and data center capacity could become equally, if not more, limiting factors for continued AI expansion by year-end.

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