I have been following @ cysic_xyz's Compute Fi recently. It's not just about putting computing power on the chain. The essence is to upgrade computing from a disposable service to a measurable, collateralized, and tradable productive asset. The monopoly and black box pricing of traditional cloud providers are actually a mismatch between the ledger and incentives. Supply is encapsulated in data centers, demand is locked in contract cycles, prices are determined by a few people, and risks are borne by the majority. Mismatch between supply and demand The structural imbalance of current computing resources: one ️⃣ Capitalization imbalance: High end GPU prices are driven by oligopolies and subsidy cycles, with spot prices misaligned with expected returns, and small teams squeezed out by price fluctuations. two ️⃣ Usage imbalance: Training/proving load with strong cycles and peaks, with a large amount of idle marginal time periods that cannot be matched to long tail demand. three ️⃣ Governance imbalance: Centralized cloud holds the three powers of measurement, settlement, and risk control, and price becomes a strategic variable rather than a real supply-demand relationship. After the demand curve for AI and ZK steepens, these three imbalances are simultaneously amplified, forming a systemic bottleneck: rising costs, decreasing elasticity, and suppressed innovation. ⚡ Split computing power into tradable shares ComputeFi regards "verifiable workload+measurable availability+traceable maintenance commitments" as standardized assets. Specifically regarding the mechanism: Assets: The equipment is remotely verified (telemetry, zero knowledge proof, TEE, etc.) to generate verifiable computing power certificates, layered by performance level and online SLA. Measurement side: Task execution, latency, throughput, and energy consumption are continuously settled on the chain, and the output curve is made transparent. Settlement side: The supplier receives basic income and performance rewards, and violating commitments triggers confiscation and re pledging requirements, forming a sustainable risk curve. Pledge - Profit - Reinvestment Suppliers ensure service quality through pledging, linking revenue with reputation, and obtaining lower capital costs for high-quality nodes. The demand side breaks down the workload into micro tasks that can be bid on, and sets pricing based on time, geography, and delay constraints to improve cost efficiency. The market manages volatility through re pledging and futures trading, turning hardware depreciation into cash flow duration, which can be hedged and allocated. The more transparent the performance, the more willing capital is to enter, the larger the scale, and the closer the price is to the true marginal cost. ————————————————————————— When 'computing' becomes a tradable, programmable, and verifiable on chain asset Monopoly is disrupted by the 'combinable market', and prices become public goods The entry threshold shifts from heavy assets to reputation and algorithms, and innovators gain pricing power equivalent to resources Resource allocation has shifted from static quotas to dynamic clearing and settlement, and the expansion of AI and ZK is driven by capital efficiency This is exactly the meaning brought by @ cysic_xyz ComputeFi.