buleth.ink.π²(base.eth)

Commodity formation playbook: Gold → London Fix (1919) → futures market Oil → posted prices → spot market → Brent/WTI Electricity → bilateral → pools → day-ahead markets Compute → ? We're watching the pattern repeat in real-time. 🔗 Join the Waitlist: app.rax.finance/waitlist

AI compute is not priced by hardware alone. The economics depend on a combination of: • GPU supply • Workload demand • Utilization • Energy costs • Capital efficiency As AI infrastructure scales, understanding these variables becomes increasingly important. Because the next compute opportunity may not be about owning more GPUs. It may be about understanding where demand is heading.

$40B, just to buy the chips. SpaceX is lining up Apollo-led financing for Nvidia capacity: about $10B in bank loans and $30B in investment-grade debt, aimed at Vera Rubin. It is a compute purchase large enough to be financed like infrastructure. Power, land, and chips are now the constraint. The market is underwriting the factory, not the demo. Via @wallstengine

The listed price is not the traded price. Public marketplaces show H100 at $3.25/hr. Real year-long contracts clear at $2.10–2.70. Why the gap? Bilateral negotiations are confidential. Nobody publishes what actually traded. Price discovery needs transparency. 🔗 Join the Waitlist: rax.finance/

A permanent framework is moving closer. When the rules get clearer, capital usually gets more comfortable showing up. The RWA ecosystem stands to benefit most if that shift continues. Via @a16zcrypto

If you had 10,000 USDC today, what would you do? A. Keep it in your wallet B. Deposit it into a vault C. Lend it on DeFi D. Something else Tell us your reasoning 👇

More GPUs don't always mean more compute. Utilization matters. A data center running 10,000 GPUs at 30% utilization has very different economics from one running the same fleet at 80%. As AI workloads evolve, the value of compute will increasingly depend on: • GPU utilization • Workload demand • Energy costs • Hardware efficiency Compute capacity tells us what exists. Utilization tells us how much of it is actually being put to work.

Compute is not a commodity yet. Why? No standard unit. Every GPU purchase is different: • Region differs • Provider differs • Price differs — $1.99 to $5.99 for the same H100 • Contracts are locked and hard to resell @RaxFinance is building a standard: 1 cT = 1 GPU-hour Backed 1:1 by real machines. Trade it or redeem it for compute. Same unit, anywhere in the pool. Making compute fungible and tradable. 🔗 Join the Waitlist: app.rax.finance/waitlist 💬 Drop your address below. 🎁 Surprise Unboxing Opportunities await.

We're planning the next phase of the Rax community. If you could add one thing to Rax Finance, what would it be? No idea is too small. We're reading every comment.

Most investors focus on returns. Professional investors focus on capital allocation. A vault is more than a place to deposit assets. It is a disciplined framework for allocating capital according to predefined strategies and risk parameters. That's how capital is put to work.

🎨 The Rax Cube Design Contest has come to an end! A huge thank you to everyone who shared their creativity with us. The community delivered some amazing designs. Here are the first 3 winning entries👇 Congratulations to the creators! 🧩 Which one is your favorite? Let us know below! 👀

Stablecoins are no longer just settlement assets. They're becoming productive capital. Idle capital carries an opportunity cost. Every dollar should have a job. 👨🏻‍💻