From leasing to assets, this is the underlying logic of @cysic_xyz ComputeFi. When computing power is no longer a consumable, but an asset that can be owned, traded, and verified. ————————————————————————— Market Pain Points Currently, GPU prices have surged by 15%, and the annual growth rate of the chip market remains high, driving small developers away with exorbitant pricing. Traditional cloud service providers monopolize resource allocation, with opaque value distribution. Idle computing power cannot be effectively allocated to workloads that truly need it. There’s a mismatch between supply and demand. ————————————————————————— ⚡️ Solution 1️⃣ Tokenizing Hardware GPU clusters, ZK chips, and mining equipment are turned into assets, allowing anyone to invest in computing power without directly managing hardware. 2️⃣ Liquidity Market Idle computing power is directly connected to high-intensity workloads like AI inference and ZK proofs, enabling real-time supply-demand matching. 3️⃣ Transparent Revenue Distribution Smart contracts automatically verify performance and distribute rewards based on actual usage—no middlemen taking a cut. ————————————————————————— @cysic_xyz delivers a full-stack solution from silicon to software through their self-developed ASIC chips and the ComputeFi protocol. Their ASICs are already in mass production, achieving 1.3 million Keccak operations per second while also supporting AI inference. This vertical integration has turned Compute into a foundational infrastructure. When computing power becomes a programmable, tradable asset class, it has already become a core means of production.