The Ledger
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Sharp: Data centers built for spiky training runs will face major failures
“There's going to be some probably written about very big challenges and failures where they wanted a total capacity block, but they couldn't support the densification, or they were just building for the spike. It was very spiky, but the longer term utilization…”
Sharp: AI inference, not training, will drive future data center growth
“I would say that there's been a lot of growth in that, but we see that kind of leveling out where we really see the consumption of AI or inference that's driving that regional specific growth going forward. And I think that's where it's more embedded. And a lo…”
Sharp: Gas turbine delivery backlog extends past 2029
“Some markets were always investigating, you know, different types of, you know, solutions via gas turbines and, Even those are backlog plus 20, 29, right?”
Sharp: AI inference deployments require 5-megawatt blocks, unlike training arrays
“What we're really seeing is inference. Can come in, in like, five-ish megawatt blocks, and you can solve for it a bit differently. Now, the densification is still there, and then the private AI pieces, there's hot spots where it can be, you know, a couple of m…”
Sharp: Text-to-text AI workloads can service North America from three markets
“Yeah, we see a lot of text to text scenarios where that workload can be deployed, you know, in two or three markets throughout North America and service the entire market.”
Sharp: Transformer lead times for data centers exceed 50 weeks
“Some of the, you know, broader infrastructure constraints are transformer lead times are 50 plus weeks right now.”
Sharp: Hyperscalers prefer contiguous 100 MW halls over distributed mini-centers
“That's the outlier of what we're seeing is that to operationalize, they would really like it to be more of a contiguous scenario where they do logically think about them as five megawatt chunks, and they want a bit of resiliency... What we're seeing is having …”