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Zeek | Insights 📊

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@ZeekTyt

Following Jesus ✝️ | Family first | Navy veteran ⚓ | Investing | AI & data centers | Building Vestiq Finance | Learning AWS & Python | NFA
Joined January 2013
1.3K Following 3.4K Followers 67K Posts

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Zeek | Insights 📊 Verified account @ZeekTyt
CoreWeave’s DDTLs turn customer contracts into GPU-backed financing.

Lenders assess the customer and expected contract cash flows. CoreWeave draws funds as it buys and deploys GPUs, then uses customer payments to service the debt.

That helps $CRWV scale against contracted demand. But the structure still depends on deployments staying on schedule, customers paying, and the GPUs holding value.

Now Everyone’s asking what happens if the cash flows or collateral fall short?
P Equity Research đź“° Verified account @pequityresearch 53m
Goldman Sachs: How do CoreWeave’s DDTLs work?

$CRWV
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Zeek | Insights 📊 Verified account @ZeekTyt
Nscale’s Loughton project with Microsoft shows what happens when power can’t arrive on schedule.

That’s why I think LPS will be one of the most valuable layers in AI infrastructure. $IREN 🎯
Brian Fry Verified account @brianfry01 3h
I know Kent personally. He's a real talent for $IREN and the AI infrastructure industry. I always listen when he talks to understand the inner loop where IREN plays.

When he says development timelines have stretched from 2 to 3 years to 7 plus in most jurisdictions. The bottleneck isn’t capital or GPUs it’s the multi-year process of securing land, power, and permits. Companies that started building that pipeline years ago have a structural advantage that can’t be compressed or bought later. That’s the game IREN is in.
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