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Announcing ComputeConnect, the financial industry’s first exchange-for-physical (EFP) network for compute, coming soon from Architect and Compute Desk. ComputeConnect links US exchange-traded compute futures to compute capacity delivery. Exchange-listed cash-settled compute futures are entering US markets to correct course on the current AI economy, reorienting debt to long-term growth:...

28,562 görüntüleme • 4 ay önce •via X (Twitter)

24 Yorum

Brett Harrison profil fotoğrafı
Brett Harrison4 ay önce

If you’re a neocloud, compute marketplace, datacenter operator, or compute capacity provider, learn more about the ComputeConnect network and join our compute provider list: .

Brett Harrison profil fotoğrafı
Brett Harrison4 ay önce

Read more about ComputeConnect in our press release:

Paul Marino profil fotoğrafı
Paul Marino4 ay önce

@AgustinLebron3 @ComputeDesk Congrats. Needed innovation. A forward curve for depreciation would be very helpful.

davidlee profil fotoğrafı
davidlee4 ay önce

@ComputeDesk Congratulations. Amazing founder-market fit!

Creads profil fotoğrafı
Creads4 ay önce

@ComputeDesk incredible product innovation at exactly the right time @BrettHarrison @Architect_Fi

santi profil fotoğrafı
santi4 ay önce

@ComputeDesk Cool

MoonRunner profil fotoğrafı
MoonRunner4 ay önce

@ComputeDesk great move, congrats

Hunter Horsley profil fotoğrafı
Hunter Horsley4 ay önce

@ComputeDesk 🔥

David Dorr profil fotoğrafı
David Dorr4 ay önce

@ComputeDesk Cool idea

Patrick Rooney profil fotoğrafı
Patrick Rooney4 ay önce

@ComputeDesk 👀

ANGELA @192509201 profil fotoğrafı
ANGELA @1925092014 ay önce

@ComputeDesk Congratulations Brother 🙏🏻💐

gemeine holly profil fotoğrafı
gemeine holly4 ay önce

@ComputeDesk This will be great! Look forward to this. We were discussing this idea last sunday only.

Vynaider 🎒🦇 profil fotoğrafı
Vynaider 🎒🦇4 ay önce

@ComputeDesk The GPU world needs the solution that Architect provides Brett and the team are creating the future market for GPUs right now🙌👏

Creads profil fotoğrafı
Creads4 ay önce

@ComputeDesk boom! let’s go!!! @BrettHarrison @Architect_Fi

Jameson profil fotoğrafı
Jameson4 ay önce

@ComputeDesk 🔥

Kyle Hart profil fotoğrafı
Kyle Hart4 ay önce

@ComputeDesk 🔥

Katherine Kirkpatrick Bos profil fotoğrafı
Katherine Kirkpatrick Bos4 ay önce

@ComputeDesk 👏👏👏

Shah profil fotoğrafı
Shah4 ay önce

@ComputeDesk I swear it was the most interesting thing I read today

Sirtoshi ₿ 🐂 profil fotoğrafı
Sirtoshi ₿ 🐂4 ay önce

@ComputeDesk nice nice

Habibk.HK 🍌 profil fotoğrafı
Habibk.HK 🍌4 ay önce

@ComputeDesk ComputeConnect could bring much-needed transparency and structure to the compute market. A meaningful step for AI infrastructure.

Jason傑森 🇭🇰 | 🛠️ profil fotoğrafı
Jason傑森 🇭🇰 | 🛠️4 ay önce

@ComputeDesk 看着像是在使劲推动共识

小黄瓜🥒|广告位招租 profil fotoğrafı
小黄瓜🥒|广告位招租4 ay önce

@Ishanee @ComputeDesk 又是新概念么

Crypto Briefing profil fotoğrafı
Crypto Briefing4 ay önce

@ComputeDesk

jamie wang profil fotoğrafı
jamie wang4 ay önce

@ComputeDesk 算力 EFP 把金融定价接到物理交付 关键是 basis 和结算路径 否则期货只是另一个纸面 beta

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Carmen Li , CEO of Silicon Data and Compute Exchange , joins the show to explain how compute is becoming a brand-new asset class. A former energy options market maker at DRW who later ran global data integrations at Bloomberg , Carmen was pre-seeded by DRW founder Don Wilson to build the GPU industry benchmarks. Silicon Data is the referee "the Bloomberg for compute" while Compute Exchange is the liquidity layer where GPUs, tokens and servers change hands. We get into why token price indexes are falling, recent token & model consumption trends, why GPU residual values are above accounting depreciation schedules, and how neoclouds, their lenders, and compute users can hedge GPU exposure to reduce business volatility. • "The A100 has been around for six years at this point, and we still see three-year contracts signed on A100s." Residual values are still hovering above five-year straight-line depreciation. • “we'd definitely be looking at 30 trillion of [GPU] derivatives every year." Topics: Compute as an asset class, GPU indices, CME compute futures, GPU depreciation and useful life, neoclouds, token pricing, AI chip supply chain, 💡 This episode is presented by: Oxford Data Plan –The Home of Alternative Data *Not Investment Advice. Highlights: (0:00) Doug introduces Carmen Li, CEO of Silicon Data and Compute Exchange (0:20) From energy options market maker at DRW to Bloomberg Data, and why AI startups' swinging GPU costs made compute an industry-wide hedging problem (4:09) How DRW founder Don Wilson pre-seeded Silicon Data, and building products with no product or sales team (6:10) Two sides of the coin: Silicon Data as "the Bloomberg for compute" and Compute Exchange as "the Nasdaq for compute" (7:49) Licensing indices to CME for H100 and B200 compute futures, and four ETFs filed before the futures even trade (10:22) What makes an index the source of truth: tracking supply-demand, resisting manipulation, staying neutral (12:57) Normalizing 50 B200 server configurations, and what earns a premium or a discount to the benchmark (16:04) Sizing the market: from 1–3 trillion in spot compute to a potential 30 trillion in derivatives notional (18:13) Who hedges first: neoclouds, hyperscalers and the financiers holding GPUs on their balance sheets (21:06) Michael Burry's depreciation bear case vs. the physical market: A100s still signing three-year contracts after six years (22:49) Why older chips stay productive: cooling, floor weight, wait times and the second-hand market (26:20) 300+ neoclouds and why more data sources make an index harder to manipulate (28:48) B200s at ~$5 per GPU hour, the implied forward curve and the shift into contango (31:18) Why an index provider can't give forward guidance, or own the assets it measures (33:59) Token indices on the Bloomberg Terminal, and a leading indicator for AI revenue (37:03) Why token prices are falling: workflows moving to open-source and open-weight models (38:51) Token pricing has no transparency, and why customers will demand control (41:49) Where to invest in the AI stack, lessons from the internet era and why "AI is a gigantic baby" (45:03) Homegrown silicon, fab capacity and why a hundred chip designers can't create a bubble (48:56) Why compute futures enable price discovery, not a bubble (49:29) Running a data company and a marketplace at the same time (52:47) Carmen's lesson for entrepreneurs: pick something you love (54:08) The vision: the liquidity provider and the referee for every layer of the cake Research Sponsors: Fiscal.ai - Delivering Modern Financial Data Infrastructure. 15% discount with code PITCH AlphaSense Grade AI Carbon Arc Infrastructure for the AI Economy Pitch The PM Links: 📩Early episode drops episode feedback on Substack Daily industry chatter and market color on LinkedIn Carmen Li Links: Carmen LI on LinkedIn: Silicon Data: Compute Exchange:

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NVIDIA is about to grow a new moat that has the potential to be the company’s most impenetrable moat yet: The Compute Futures Market One of the reasons why there’s so much demand for U.S. T-bills is because the market for them is incredibly deep, and large pools of capital can come in and out freely without much disturbance. That attribute is attractive, which leads to more demand for T-bills Liquidity begets liquidity Another example is what Bill Ackman is describing in the attached clip - the more valuable a company becomes, the easier it is for said company to raise capital to fund expansion, which in of itself is virtuous and valuable The same concept is going to apply to compute, and in some ways- it already is. NVIDIA GPUs are already the most financeable (in many cases the only financeable) form of compute for various parties to deploy in their data centers. But the introduction of a forward curve that facilitates financial expression like hedging takes that concept to a different level Companies who consume compute (structurally short compute) will want to be able to hedge their input costs, and companies who produce compute (structurally long compute) will want to be able to hedge their output price. The market will coalesce even more around the deepest / most liquid pools to facilitate this - which will be NVIDIA based futures (WTI Crude) This liquidity itself will become part of the value of purchasing NVIDIA equipment, it will be part of the justification to pay the “Nvidia tax”. And when the liquidity reaches a certain depth, it will be almost impossible to break - because to break it would involve coordinating between massive amounts of misaligned parties- impossible So NVIDIA, by no additional virtue or effort of their own will likely absorb another massive structural advantage that may be the most difficult advantage to overcome for any competitor out of anything that has been built so far. The rich really do get richer.

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