Cysic @cysic_xyz's core narrative—ComputeFi as a new paradigm, similar to how x402 became the mainstream payment protocol for AI agents, ComputeFi will become the mainstream architecture and narrative for computing power. In the digital economy, computation has become the most valuable raw material. ➡️ AI models are growing every year, consuming billions of GPU hours for computation. ➡️ ZK proofs underpin blockchain scalability, requiring millions of parallel proof generations to sustain Ethereum and its rollups. However, the current computing power is centralized and highly fragile. GPU usage is largely monopolized by cloud service providers, and ZK proof generation is scattered across various closed prover services. For developers, researchers, and everyday users, computing resources remain scarce and hard to access. ❌ Platforms like Render and http://IO.net can solve AI inference issues but don't address proof or mining problems. ❌ Proof-as-a-service companies like Succinct or RiscZero can handle ZK workloads but don't solve AI or HPC workloads. ❌ Mining pools tokenize hash power but can't flexibly reallocate it to new domains. Cysic @cysic_xyz's ComputeFi can solve these issues: ✅ Hardware-agnostic: Cysic is open to GPUs, ASIC miners, CPUs, and specialized accelerators. No single hardware vendor can dominate Cysic. ✅ Workload-agnostic: ComputeFi supports multiple domains, from blockchain proofs to AI and HPC. ✅ Verifiable: Different workloads use different mechanisms—zkSNARK verification for proofs, redundancy for AI inference, and hash verification for mining. ✅ Composable: Developers can integrate ComputeFi into dApps, protocols, or AI services through standardized APIs.