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Another week down for the neoclouds. CoreWeave closed at a new 2026 low. B300 rental prices rose again, their 34th straight daily gain. Rent up, landlords down.
This is the underpinning of our thesis at Liquid Compute. There's plenty of demand for compute but not enough capital to fund it. Oil, power and grain all have mature financing and hedging markets. Compute has none, and we're building them to help close that financing gap.
NVIDIA CEO HUANG: NEOCLOUD DEMAND IS ‘OFF THE CHARTS’ BUT CAPITAL IS SCARCE - CNBC
Compute & Cocktails 🍸 How do you finance AI infra? @stanleylee21 (@liquidcompute ) + Mark-Daniel Shelton (@general_compute ) on underwriting compute, getting past prepay and the right debt/equity mix. 📍 Dawn Club, SF · Wed, Oct 28 Request to join → luma.com/g9h2d9ai
@stanleylee21 came to us from high yield and distressed credit. These are his thoughts on CoreWeave at 16% and what it means for everyone in compute, lenders, operators, and buyers. Worth the read and let us know if our team can be helpful!
@ArpitGuptaji19 @peternoszek @ronitrjain @stanleylee21 We are. We just arranged our first bridge for a neocloud to cover the GPU payment ahead of the term loan, and we have a lot more in the pipeline. If you're seeing deals stall on this, check out liquidcompute.com or reach out to [email protected]
Good post from @prashantrad . The question that matters for AI debt is who actually bears the adoption risk. Take-or-pay from a strong counterparty and the lender barely cares about adoption speed. Leave utilization or pricing exposed and it's a different credit. That's exactly what our @liquidcompute Offtaker Credit Map scores. All publications can be found here liquidcompute.com/research
There's understandably a lot of consternation about AI related debt out there. I read a NYT interview with Peter Orszag, tied to a paper he co-wrote on the new supply side era, where he compares the scale of AI capex debt to the fiber buildout of the 1990s. The scale of capex
Part II of the GPU Offtaker Credit series today. You can find it along with our other research on our website: liquidcompute.com/research/tier-… Stay tuned as the series continues!
big and huge, financing is the one true problem in infra sourcing for majority of the market
Liquid Compute and K8 announce a $250M prepayment facility to help compute buyers fund prepayment capacity commitments. This facility makes compute financeable the way every other commodity already is, and we are already finalizing our first deployments with a few large
Reach out with a financing request! businesswire.com/news/home/2026…
Business Wire businesswire.com/news/home/2026…
Liquid Compute and K8 announce a $250M prepayment facility to help compute buyers fund prepayment capacity commitments. This facility makes compute financeable the way every other commodity already is, and we are already finalizing our first deployments with a few large inference clouds. We're proud to build this with K8 as we bring the discipline of commodity finance to compute.
We released the latest part of the GPU Offtaker Credit series today. You can find it along with our other research on our website: liquidcompute.com/research/tier-… Stay tuned as the series continues!
Part 1 of the GPU Offtaker Credit Map series x.com/i/article/2105…
The response to our GPU Offtaker Credit Map was more than we expected. Lenders asked how to use it, operators asked who to sign, and companies asked how to move up. So we're turning it into a multi-part series, one tier at a time: who's in each tier, the deals in market, how lenders should structure them, and how companies get financed. Part 1 starts at the top, because Tier 1 is the benchmark every other deal is built against. Each tier gets more interesting from here, so stay tuned... Lender or company looking for compute financing? Reach out to the team @liquidcompute
Part 1 of the GPU Offtaker Credit Map series x.com/i/article/2105…
We welcome all feedback (good or bad) as we seek to improve on the benchmark
Read the full report here: liquidcompute.com/research/gpu-o…
Announcing the Liquid Compute GPU Offtaker Credit Map We assessed 200 private buyers of compute and ranked 169 on a single, transparent credit framework. Our findings cut against consensus: the strongest private offtakers are trading firms and profitable private corporates, not necessarily best-known AI labs. We released this because the real bottleneck to access compute is capital markets. Capacity gets built when someone will finance it, and financing turns on a question nobody had a shared answer to: can this buyer keep paying for the full term? The framework is published in full, and we intend it to become the stepping stone for providing greater transparency about counterparty credit. If you buy, build or finance compute, we want to hear from you. If you are on the list and think we have you wrong, please reach out. We welcome all comments and direct feedback on the methodology.
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