Compute Exchange

Last week in Paris, our CEO @carmenli Li joined Sam V. Tabar (@WhiteFiber_ ), Piotr Tomasik (@tensorwave ), Val Bercovici (@weka ), and Parimal Pandya (@Akamai ) on stage at the Carrousel du Louvre, moderated by Robin Wauters. The question on the table: what happens when compute stops being an IT line item and starts behaving like a financial asset? GPU capacity already trades on term length, price, and counterparty. Procurement processes just haven't caught up. 9,000 people at RAISE Summit this year, and compute economics ran through nearly every conversation. Merci, Paris. 🇫🇷

Eight months ago, when we started building the LLM Token Expenditure Index, the goal was simple: bring transparency to how much, as a society, we’re actually spending on AI per million token. I do not think it was that useful for me to tell you what you’re paying for one model—you already know your own bill. What I found much more interesting was the market as a whole: a volume-weighted view across models that shows our collective willingness to pay for AI. Eight months later, it’s exciting to see the index now sitting at the center of this conversation. This is exactly why we built it. Happy to chat.

Markets were jittery this week on news reports that Meta may be selling compute, raising concerns about excess supply. We thought we’d share some perspective using our rental term curves on why this news, if true, doesn’t have to be bearish for GPU rental prices. Last year, ahead of the agentic AI boom, Meta aggressively locked in a large amount of compute capacity. It quite possibly secured more than it ultimately needed. It was a smart strategic bet to secure scarce supply early, with the flexibility to either deploy it internally or sell excess into a tight market. They acquired valuable real options at the time. As recently as last November, the compute market looked very different. Spot and forward GPU rental rates were much lower, and the term curve was sharply backwardated. This is classic commodity behavior when the market anticipates new supply coming online and pressuring prices lower. Since then, the picture has changed dramatically. As shown in our H100 term rate curves below, the entire curve has both risen sharply in level and flattened significantly, moving out of its steep backwardation. In fact, rental rates have firmed further around the 1-year term over just the past week (Jun 25 – Jul 2), with multiple providers raising prices. For all the concern about a glut, the rental market is doing the opposite of pricing one in: rates are firming, not softening. It now makes perfect financial sense for Meta to shed some of its older secured capacity while continuing to invest in newer, more powerful clusters. The real option they purchased has appreciated meaningfully. At the same time, demand for their specific models and use cases may not have materialized as strongly or as quickly as anticipated. This looks like firm-level rebalancing rather than a signal about the broader market. Reallocating from legacy commitments toward frontier hardware is what a maturing market looks like: optimization, not weakness. Little in our data suggests the demand tailwinds from agentic AI and inference are softening. If anything, the term structure of GPU rental rates points to a market that’s tightening, not loosening. Our forward and term curves are updated daily at silicondata.com. Happy Fourth! 🇺🇸🎆

AI Infra Night is tomorrow 🌆 Chips, power, capital, and the marketplace behind the GPU economy — live in NYC.

AI Infra Night — June 4, NYC 🌆 Chips, power, capital, and the marketplace behind the GPU economy. An evening with cloud operators, investors, and infra leaders. Co-hosted by TowersTeam, @evergrid + us, at Wix NY HQ. Part of #NYTechWeek. partiful.com/e/9Vb2HFPhUit5…

Attending #NVIDIAGTC in DC? Meet @computeexchange & @Silicon_Data #CEO @carmenli in person at the conference (Oct 28-29). Let’s connect, explore #compute markets, #AIInfrastructure, & #GPU sourcing. Time is limited — Use the QR code to lock in a slot. #AI #CloudComputing

🚀 LAUNCHED TODAY: RFQ Hub 🚀for #compute 1 RFQ → 75+ providers → quotes in minutes. Save 30%–80%. 👉 Submit specs: compute.exchange

@computeexchange is at #pytorchcon today Thurs. Oct. 23. Schedule your time to meet! Learn how to save 30% to 80% on compute & about our new "Referral" program & "RFQ Hub." #compute #CloudComputing #ai #Infrastructure

@computeexchange is at #PyTorchCon this week! If your team’s growing and you need quality #GPUs (for Less) — let’s talk 💬 📲 Scan the QR in the post to book time with me during the event. #AI #DeepLearning #GPUs #PyTorchCommunity

Live now: our latest GPU auction on @computeexchange. A new benchmark for transparency & access in the compute economy. Proud of the team making it happen! #AI #ComputeMarkets #GPU

New leadership at @computeexchange : @carmenli steps in as CEO, bringing together @Silicon_Data intelligence layer with our compute marketplace. A unified vision for the AI economy. Read more: einpresswire.com/article/855704…

@Dorialexander Happy to help. We'll run an auction across top-tier providers. Hit us up.

Any recommendations for monthly GPU rentals? Don’t care about location. Preferably good service even if more pricey.

Every era has its defining resource. 🌾 1800s: Agriculture 🛢️ 1900s: Oil 💻 Today: Compute Yet compute markets are still broken. We’re changing that—transparent spot trading now, futures next. Resource in 1st comment ⬇️

🚀 We are hiring: Frontend / Fullstack Software Engineer Join @computeexchange and help build the future of AI infra. 👉 Apply: wellfound.com/company/the-co… #ComputeExchange #Hiring #FrontendEngineer #Fullstack #AIInfrastructure

#Compute shouldn’t just be powerful—it should be responsible. 🌍 @computeexchange was featured in @CanopyWave’s blog for making the carbon footprint of GPUs a visible feature on our platform. Transparency + sustainability = smarter #EdgeAI. Read more: canopywave.com/blog/gpus-in-e…

Today at 2:30pm PT: @computeexchange CEO @SimeonBochev on how accessible #compute can #democratizeAI. Don’t miss it! 📷 aiconference.com  #AI #theaiconference

🌟 We are hiring: An FE/FS Engineer.  Join @computeexchange and lead innovation in AI infra + GPU access. 👉 Apply:wellfound.com/company/the-co… #ComputeExchange #Hiring #ProductManager #GPUCompute