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MTS · 3 min · Oct 28, 2026

GPU clouds face correlated customer and financing risk

Evan Conrad lays out a lender’s downside scenario: GPU clouds may lose future customers as creditworthy labs and hyperscalers build their own capacity. That uncertainty can make debt harder to secure.

Evan Conrad

Evan Conrad is co-founder and CEO of SF Compute.

Founded SF Compute, a GPU cluster exchange where buyers can resell unused compute time on contracts they can exit.

  • Theo Jaffee, Host · Co-founder & host, MTS

    One of the first members of a16z's new media team; earlier hosted the Emergent Ventures-backed Theo Jaffee Podcast.

  • Sophia Dew, Host · Host, MTS

About this segment

Evan Conrad lays out a lender’s downside scenario: GPU clouds may lose future customers as creditworthy labs and hyperscalers build their own capacity. That uncertainty can make debt harder to secure.

From “AI Startups Locked Out of Compute in 6 Months | Evan Conrad”, Oct 28, 2026. Watch the full episode

“The Frontier Labs, the Hyperscalers, the people who have investment-grade credit want to do the thing you're doing, and will simply try to disintermediate you if they have the opportunity to.”
Evan Conradat 8:11 · MTS8:11

Takeaways

  1. A cloud’s current customers may not stay customers as it grows.
  2. Investment-grade customers could disintermediate the cloud providers.
  3. Lenders may fear future demand will come from weaker startups.

In this episode

Full episode
  1. 0:49Compute prepayments are pricing startups out of clustersPro pick 5:07

  2. 6:39GPU clouds face correlated customer and financing risk3:16

  3. 16:04SF Compute aims to make GPU rights usable as collateralPro pick 3:50Up next
  4. 2 more moments in the full episode

Transcript

Transcribed by machine (Whisper) from the episode’s audio, so a word may be off here and there.

  1. 6:46

    Interesting. So how bad is the correlated risk here? So it seems like you're going to have a lot of investing-grade tenants that take on leverage in order to be able to buy a ton of GPUs, and then they'll get downgraded because of that. And this seems like a chain of risk. Do you think that this could just blow up enormously, 2008 financial crisis style? Especially because much of the American stock market right now is propped up by the AI boom.

  2. 7:20

    So I want to be clear. I don't think this is happening. I don't think that the clouds are going to blow up suddenly or AI is doomed or whatever. But it doesn't matter what I think. It matters what a lender thinks. And as you push the debt markets to the limit, you're asking them to deploy larger and larger amounts of capital. And that means that they will be more and more freaked out about how that capital is being used.

  3. 7:46

    And so what matters is like, what is the actual scenario that occurs in the downside? And that scenario does indeed look like correlated risk. I can describe one that is if I were a lender, here's what I would. worried about. You have a GPU cloud. That GPU cloud makes money right now, but may not make money in the future, because to make money in the future, they have to deploy a new cluster. However, their biggest customers are ones who themselves want to be the GPU cloud. The Frontier Labs, the Hyperscalers, the people who have investment-grade credit want to do the thing you're doing, and will simply try to disintermediate you if they have the opportunity to.

  4. 8:32

    So if you were investing or if you were writing debt against the cloud based on their cash flows and you were projecting that they would be able to sign another cluster in the future, that may not necessarily be true, except with tenants who are not investment grade. because, you know, the Series C startup from San Francisco that is totally printing money and would totally buy a big cluster is still not going to necessarily try and become the cloud themselves.

  5. 9:02

    And so you have the opportunity to sell them, but the bank may not think that's great. And so from the bank's perspective, they may be looking at this and saying, wow, this cloud has all these investment-grade customers right now, but in the future, they may not have investment-grade customers. And so I have the ability to predict that in the future, those people might die. And now those non-investment grade customers are new AI labs that are competing with this company, Anthropic, that seems now to be doing amazing. And like, what if Anthropic just wins? And then what happens is the clouds can't sell to Anthropic because Anthropic just wants to do this. Meanwhile, they're stuck selling to these other competitors who might die. And so maybe that's my losing condition where this cloud doesn't have the

  6. 9:42

    ability to sell into a market because their market moved away from them. Now, is that true? I don't think that's necessarily true, but this is like the scenario that people are worried about.