GPU compute now has an index, a forward curve, and CME futures coming in H2. @carmenli built that market — and has watched crypto trade the same AI thesis through H100 perps and pre-IPO bets. She tells @‌Steven_Ehrlich what holds up and what breaks. Streaming today at 12pm ET 👇 Join us on: x -

GPU-Backed Debt and the case for the End of SaaS Credit Shoal Signal Ep. 7 with @0xZergs, co-founder/CEO of @USDai_Official, hosted by @zaddycoin AI compute is being built faster than the financial system can finance it. Chips refresh every 24 months, and the debt that funds houses and planes needs decades of data and years to structure. David walks through why he thinks most of DeFi is money lending against money, and not real credit. 0:00 From art financing to GPU credit 2:18 DeFi is money market, not capital 3:13 Why CoreWeave bonds are not ABS 5:25 Convertible debt and the miner playbook 6:31 What securitization actually needs 9:03 Hyperscalers versus the Neo cloud tail 9:37 The depth perpetual idea 12:30 Underwriting eight chips, not companies 17:14 Why most RWAs are "toxic waste" 21:11 SaaS credit is dead 23:03 GPU loans as a super sector 26:37 Inside the Nvidia financing gap 30:20 Why only Nvidia chips 33:12 Compute as the next stablecoin 35:31 PYUSD, USDAI, and lowering the rate 38:34 Insurance with Barker and Munich Re 40:13 Internet capital markets versus margin 42:25 Where on-chain credit actually wins Youtube:

GPU shortage is worse than ever. H100s cost more today than they did 3 years ago, and you cannot get them on-demand. The big AI labs have locked up most of the supply for years. I’m worried university researchers and individual developers simply won’t be able to get GPUs.

GPU shortages. Rising memory costs. Cloud outages. Different failures, same choke point: Compute. It’s becoming the defining resource of this century, yet access today is scarce, expensive, and controlled by a few. ComputeFi changes that 👇

GPUs are expensive and setting up the infrastructure to make GPUs work for you properly is complex, making experimentation on cutting-edge models challenging for researchers and ML practitioners. Providing high quality research tooling is one of the most effective ways to improve research productivity of the wider community and Tinker API is one step towards our mission there. Tinker API is built on top of our experimental results on fine-tuning with LoRA: Beta starts and you can join the waitlist today:

Nvidia GPU Debt Backstop Unleashes the AI Project Trinity: Capital, Offtake and Datacenters Over 7T AI debt by 2029, There can be no Neoouds without the Trinity. Nvidia's Backstop Economics Explained. AI Debt Needs Quantified. Nvidia's Objective is to Broaden Compute Access