PRINCEPS
Princeps builds financial infrastructure, like bonds, a clearing house and SLA guaranty products
The Problem
Organizations that buy or sell large blocks of GPU compute capacity have no standardized financial instruments to price, hedge, or guarantee that capacity the way other asset classes do. Compute prices move like a market (the page shows a spot-price model with drift and volatility) yet contracts for that compute lack bond-like structure, uptime guarantees, or a clearing mechanism for settlement. When a provider misses an uptime commitment there is no formal penalty structure tied to a contracted floor. Buyers and sellers of compute are left negotiating ad hoc deals instead of using instruments with defined notional size, coupon, and maturity.
The Solution
Princeps treats a block of GPU compute as a 'ComputeBond': a contract with a notional amount of GPU-hours, a coupon, and a maturity, priced by simulating a spot price path and discounting future coupon and principal-equivalent cashflows. A settlement routine pays out based on hours delivered multiplied by the settlement price, and an SLA guaranty function calculates a penalty when measured uptime falls below a contracted floor, scaled by a penalty rate. The company also references a clearing house and a compute reserve as parts of the same system, suggesting the pricing, settlement, and guaranty logic feed into a central venue for matching and settling these compute contracts.
