Zero-knowledge proofs (ZK) are shifting from a scaling tool to a core pillar of verifiable blockchain computation. They now span three key areas: scalability (Rollup, zkEVM, zkVM), privacy (payments, governance, identity), and interoperability (cross-chain, data proofs). RISC Zero, built on the open RISC-V standard, offers zkVM, Steel coprocessor, Bonsai network, and Boundless proof marketplace, creating a full stack from execution to marketization. Boundless turns ZK computation into a tradable

Zero-knowledge proofs (ZK) are shifting from a scaling tool to a core pillar of verifiable blockchain computation. They now span three key areas: scalability (Rollup, zkEVM, zkVM), privacy (payments, governance, identity), and interoperability (cross-chain, data proofs). RISC Zero, built on the open RISC-V standard, offers zkVM, Steel coprocessor, Bonsai network, and Boundless proof marketplace, creating a full stack from execution to marketization. Boundless turns ZK computation into a tradable

Zero-knowledge proofs (ZK), as a new generation of cryptography and scaling infrastructure, are showing strong potential across scaling, privacy computing, zkML, and cross-chain verification. Yet the heavy computation and latency of proof generation remain the key bottlenecks to industrial adoption. Hence ZK hardware acceleration is critical: GPUs lead in generality and iteration speed, ASICs point to the endgame in efficiency, and FPGAs strike a balance between programmability and efficiency—to

Zero-knowledge proofs (ZK), as a new generation of cryptography and scaling infrastructure, are showing strong potential across scaling, privacy computing, zkML, and cross-chain verification. Yet the heavy computation and latency of proof generation remain the key bottlenecks to industrial adoption. Hence ZK hardware acceleration is critical: GPUs lead in generality and iteration speed, ASICs point to the endgame in efficiency, and FPGAs strike a balance between programmability and efficiency—to

ZK 可信计算正从 L2 zkRollup → 通用 zkVM/zkCoprocessor → L1 zkEVM 实时证明（RTP） 演进，以“链下计算 + 链上验证”在去中心化前提下释放计算自由度。 Brevis 以“双引擎”架构突围：Pico zkVM 采用模块化 zkVM + 协处理器体系，Prism 在多 GPU 上实现以太坊整块级秒级证明；ZK Data Coprocessor 面向历史与跨链数据提供可验证计算与证明回链。Brevis 已在“性能领先 + 应用密度”上建立初步护城河，下一阶段将 巩固技术与商业双飞轮。

ZK 可信计算正从 L2 zkRollup → 通用 zkVM/zkCoprocessor → L1 zkEVM 实时证明（RTP） 演进，以“链下计算 + 链上验证”在去中心化前提下释放计算自由度。 Brevis 以“双引擎”架构突围：Pico zkVM 采用模块化 zkVM + 协处理器体系，Prism 在多 GPU 上实现以太坊整块级秒级证明；ZK Data Coprocessor 面向历史与跨链数据提供可验证计算与证明回链。Brevis 已在“性能领先 + 应用密度”上建立初步护城河，下一阶段将 巩固技术与商业双飞轮。

零知识证明（ZK）作为新一代加密与扩容基础设施，已在扩容、隐私计算、zkML、跨链验证等场景展现潜力。但证明生成计算量与延迟高企，成为产业化瓶颈。ZK 硬件加速因此为关键：GPU 以通用与迭代速度占优，ASIC 以能效指向终局，FPGA 在可编程与能效间折中，共同构成落地基座。本文解构 Cysic Network：以 PoC 共识与 Prover/Verifier 搭建通用 Proof Layer，以 Compute Cube 节点 NFT 推进算力金融化，并在 Verifiable AI 与 Serverless 推理上拓展应用；同时以 DogeBox 1 家庭级 Scrypt ASIC 验证量产与现金流。报告亦评估生态合作、代币模型、竞品与风险，给出 ComputeFi 路径的可行性判断。

零知识证明（ZK）作为新一代加密与扩容基础设施，已在扩容、隐私计算、zkML、跨链验证等场景展现潜力。但证明生成计算量与延迟高企，成为产业化瓶颈。ZK 硬件加速因此为关键：GPU 以通用与迭代速度占优，ASIC 以能效指向终局，FPGA 在可编程与能效间折中，共同构成落地基座。本文解构 Cysic Network：以 PoC 共识与 Prover/Verifier 搭建通用 Proof Layer，以 Compute Cube 节点 NFT 推进算力金融化，并在 Verifiable AI 与 Serverless 推理上拓展应用；同时以 DogeBox 1 家庭级 Scrypt ASIC 验证量产与现金流。报告亦评估生态合作、代币模型、竞品与风险，给出 ComputeFi 路径的可行性判断。