Conor Moore retweeted
spiritually, it feels inevitable that AGI is born in California as a kind of useless and largely uneconomic toy, and then dragged to New York, caged and put to work by men in grey tall towers that poke and prod it until it spills trillions out filtering through PDFs
Conor Moore retweeted
We’re co-hosting a conversation on the future of compute with @USDai_Official × @Alliance in NYC on 10/28.
We’re bringing together founders, traders, GPU buyers and sellers, investors, and operators to discuss the most pressing questions in compute, energy, and frontier tech.
Have a hot take? Building in the space? Join us.
luma.com/theopenfloor
Conor Moore retweeted
Crucible Capital founder @Melt_Dem reveals how she financed her own GPU cluster with stablecoin debt and personal credit risk because she refused to sit out the AI boom:
"We're a no-name operator. They're like, who are these two women building compute? Their perception's like, who's this crypto lady?"
"We got debt from USDAI, which is a protocol that crowdsources capital through stablecoins, and the GPUs back the loans. We also took on some personal credit risk. I think being levered to the tits is a great way to live."
"In the greatest build-out of infrastructure in human history, are you really just gonna sit on the sidelines and tweet? I'm gonna ship some bangers, and I'm gonna take some risks, and if I die, I die."
"I'm not gonna sit there and tell my children, during the AI boom I sat back and I tweeted."
@CrucibleCap
Conor Moore retweeted
Passing off AI responses as finished work product, which is incredibly obvious to anyone who uses these tools, is an increasingly pervasive red flag. It's not clever and clearly becoming too tempting for some individuals and organizations.
I can prompt fable myself.
Conor Moore retweeted
Tap the sign
There’s a lot of hand wringing on Ai, per usual. We’ve all done a ton of work trying to learn / understand. Keyword trying. But sometimes I wonder if I could have done no work and just listened to Jensen (I might have done better!). He doesn’t get enough credit for seeing the ball so well, imo. In leather jackets we should trust. @JensenHuang
Conor Moore retweeted
Aggregated sUSDai liquidity breaks $150m across all networks.
In the past 2 months liquidity has 8x, providing incredibly liquid and deep markets for traders.
liquidity.gpu.credit/
Conor Moore retweeted
"In 2021... [defi] was very much a closed sandbox...
Gensler was trying to put everyone in jail...
But... in many ways it was beneficial... to battle-test all these primitives...
And now you can actually take it out and introduce it to the traditional markets...
And that's where the pie grows as a whole..."
- @_ConorMoore to @defidave on @FullyVested_Pod
Conor Moore retweeted
Welcome to the Fully Vested Podcast by @DefiLlama. Telling the story behind onchain data.
Our first episode focuses on Private Credit in DeFi and how it's attracting users that have never used crypto before. We sat down with the founders of two protocols that have each attracted hundreds of millions in deposits.
Joined today by:
@_ConorMoore, Co-Founder of @usdai_official
@Benjamin918_, Founder of @CapApp
Fully Vested co-hosts @patfscott and @defidave
0;00 Intro
3:12 Why does DeFi make sense for Private Credit?
7:05 Size of the opportunity. How do these platforms fix a problem with Private Credit?
12:30 How these platforms pitch themselves to users that aren't crypto native
16:40 What led these founders to build what they're building?
20:03 Traction of each platform and inflection points in growth
27:25 Where to learn more
Conor Moore retweeted
First episode of the Fully Vested Podcast by @DefiLlama drops today.
Hosted by @patfscott and @defidave.
The first episode focuses on Private Credit in DeFi, with guests @_ConorMoore from @usdai_official and @Benjamin918_ from @CapApp.
Posting here on 𝕏 first.
Conor Moore retweeted
@_ConorMoore, after admitting that @USDai_Official tried NFT lending, gold bars, watches, and land before landing on GPU financing: "The only way that you can convince a borrower to access capital from crypto rails is if you are unlocking some asset type that can't get access to capital otherwise."
Next Event: Singapore, October 6
Conor Moore retweeted
USDAI is tokenizing the AI capex supercycle.
$USDAI is a GPU-backed debt product that lives onchain as a financing vehicle for the infrastructure buildout powering AI right now.
Here's how the two-token structure works:
- $USDAI: the stablecoin layer. Handles loan settlement, interest payments, day-to-day transactions.
- $sUSDAI: the yield token. Capital that flows directly into funding AI infrastructure.
The collateral backing it is the GPUs themselves.
It's a new onchain asset class that didn't exist six months ago:
Tokenized compute debt that is tradable and composable inside DeFi.
FT @_ConorMoore @CoinDesk @USDai_Official
USDAI is a helluva concept for a stablecoin! It's basically designed to generate yield by making loans to scale data centers.
Here's a simplified breakdown of how it all works (save this):
Think of it like a bank that only gives loans to GPU farms...
1/ You deposit $USDC or $USDT and get $USDAI back at a 1:1 ratio.
2/ If you want yield, you stake that $USDAI and receive $sUSDAI.
3/ Your money gets lent to AI companies who put up their GPUs as collateral.
4/ When those companies pay interest on their loans, that yield flows back to $sUSDAI holders.
$USDAI is your stable dollar (no yield, instant redemption) while $sUSDAI is the yield-bearing version with a roughly 30-day redemption queue (because the underlying loans aren't instantly liquid).
There's also $CHIP for governance if you want to vote on protocol parameters.
$sUSDAI's yield is currently sitting around 7.15% APR with targets of 10-15%.
These businesses are leasing compute power and paying interest on hardware loans.
It's basically mortgage-backed securities for AI hardware, but onchain.
And there've already been $345M+ in deposits, with 73k users, and $236M in active loans.
If you believe AI compute demand is only going up, this is one way to get exposure without buying $NVDA stock or running your own data center.
Conor Moore retweeted
Caladan is co-hosting The Capital Summit: On-Chain Capital Market Edition in @consensus2026 Miami on May 5 w/ @CapSummitGlobal
Featuring speakers from @CoinbaseInsto, @MoodysRatings, @maplefinance, @WisdomTreeNews, @crossover_mkts, and @USDai_Official with more speakers soon.
RSVP ↓
Conor Moore retweeted
We are thrilled to welcome @_ConorMoore, Co-Founder and COO at @USDai_Official, as a speaker to the Digital Asset Yield Summit stage.
Before building at the frontier of onchain credit, Conor spent his career in the deepest parts of traditional structured finance, deploying $5 billion in real estate and infrastructure investments at Rockpoint Group and structuring complex transactions at Wells Fargo Securities and Eastdil Secured. He brought that TradFi credit expertise onchain to found @USDai_Official, a yield-bearing synthetic dollar backed by loans against AI hardware assets, with over $1.2 billion in approved facilities and a Series A backed by Framework Ventures and Dragonfly. It's one of the most compelling cases for what real-world asset yield looks like when built natively onchain from day one.
Digital Asset Yield Summit is the ultimate forum for capital allocators to discover the latest advancements in digital asset yield. Every attendee is reviewed. Every session is relevant. Every introduction is intentional.
Catch Conor at the stage, May 4
Conor Moore retweeted
The expected APY of sUSDai is 12.17%.
@USDai_Official is finally going from being a wrapped TBILL to becoming an AI-aligned, GPU-backed lending stablecoin protocol.
And they already have >$600M in dealflow.
Let me explain where that 12% expected comes from:
Currently, USDai is 87% backed by PYUSD and 13% backed by GPU loans.
The 87% gets the risk-free-rate (tbill yield) and the 13% gets between 10% and 15% depending on the loan.
USDai has a max utilization of ~80% which means 80% of the PYUSD can be deployed into loans.
At max utilization/deployment (20% PYUSD / 80% GPU Loans) the yield would be ~12%.
But these loans can't happen in the snap of a finger. The loans can't be originated until chips are installed and they're third-party verified.
However, there's already 64M escrowed which is about 18% of the TVL awaiting finalization. That alone should push the APY up a few percentages.
Anywho, I have no affiliation with USDai, but I think this development is incredible and they definitely have PMF at the moment.
Love to see it.
Conor Moore retweeted
proud to work with @0xZergs @_ConorMoore and team @USDai_Official to finance Crucible Compute’s first GPU deployment
deploying GPUs and selling compute is challenging but rewarding
financing is the key to unlock efficiency and returns, with strong partners is essential
Conor Moore retweeted
1/ excited to share Crucible now slings compute - financed onchain with a loan from @usdai_official ofc
Crucible Compute is our first step into owning the means of production while investing in the modernization of underlying systems and tools optimizing their utilization
Conor Moore retweeted
1,144 NVIDIA Blackwell GPUs. Online. Now. ⚡️
QumulusAI has completed its first drawdown under our $500M @USDai_Official financing facility — deploying Blackwell-powered infrastructure fast, modular, and capital-efficiently. No hyperscaler bottlenecks. No rigid long-term commitments. Just next-generation compute at hyperspeed.
And we're just getting started. A second 384-GPU B300 cluster is scheduled for late March, with 20,000+ GPUs targeted by year-end.
This is what Breaking AI's Biggest Barriers looks like in practice.
🔗 qumulusai.com/articles/qumul…
#AI #GPUCloud #NvidiaBlackwell #AIInfrastructure #QumulusAI #GenerativeAI #CloudComputing #USDA
