Cysic: An Overview

Cysic (CYS) is a decentralized hardware acceleration layer intended to boost performance and cut expenses associated with producing Zero-Knowledge (ZK) proofs. The initiative targets computational constraints in ZK workflows by assembling a network of specialized equipment, including GPUs and custom ASICs. Cysic aims to operate as an infrastructure layer for ZK-rollups, ZK-coprocessors, and additional ZK-based applications under a model it calls "ComputeFi," which frames computational capacity as a financialized commodity.

Overview

The principal objective of Cysic is to deliver a full-stack, decentralized compute fabric that meets rising demand for verifiable computation across Web3. The project highlights that resource-intensive processes, notably ZK proof generation, incur substantial time and energy costs that obstruct blockchain scalability. Cysic proposes a decentralized marketplace linking hardware providers (owners of specialized devices) with compute consumers (for example, ZK-rollup sequencers) to offload heavy workloads and accelerate proof creation by factors ranging from 10x to 1,000x.

Under the ComputeFi concept, compute capacity is treated as programmable, tradable, and capable of generating yield. This approach seeks to create on-chain liquidity for compute resources, positioning computation alongside decentralized finance, storage, and bandwidth as core Web3 infrastructure.

Cysic has broadened its scope beyond ZK proof acceleration to include services for artificial intelligence and consumer-oriented crypto mining. The network is built to be multipurpose, with the long-term ambition of hosting diverse digital computation types on a single cohesive platform.

Technology and Architecture

Cysic adopts a hardware-software co-design methodology, pairing a modular network topology with staged hardware acceleration techniques.

The Cysic Network is implemented with the Cosmos Chain Development Kit (CDK) and functions as a decentralized marketplace for compute tasks. It employs a four-layer modular design and a customized consensus mechanism to coordinate operations.

The system manages a computational task lifecycle from submission through assignment to a prover, result verification, and settlement. This arrangement is intended to deliver dependable execution and efficient resource distribution across the distributed network.

• Hardware Layer: The foundational tier composed of physical compute contributed by participants, including CPUs, GPUs, FPGAs, and ASICs.
• Consensus Layer: Utilizes a modified CometBFT engine termed Proof-of-Compute (PoC). In PoC, validator influence is derived from both staked tokens and committed compute resources, aligning governance weight with computational contributions.
• Execution Layer: An EVM-compatible component responsible for task scheduling, routing of workloads, and settlement via smart contracts.
• Product Layer: The front-end application stack that exposes Cysic use cases, such as the ZK proof marketplace and AI inference offerings.
• Prover Nodes: Nodes that carry out compute-heavy jobs, for example generating ZK proofs for Ethereum mainnet blocks. Provers must post 10 CYS as collateral.
• Verifier Nodes: Nodes that perform lightweight checks of proofs produced by provers to validate correctness and protect network integrity. These nodes can operate on commodity hardware and require a 0.5 CYS stake.
• Hypercube Intermediate Representation (IR): A proprietary optimization that transforms ZK circuits into high-dimensional, hypercube-style data flows to better match the parallelism and memory patterns of modern silicon. Cysic asserts this IR yields a 13x performance improvement on a single chip.
• Cysic C1 Chip: A zkVM-oriented ASIC underpinning Cysic's hardware lineup, featuring high internal memory bandwidth and programmability for developers. The team has demonstrated the ability to prove 131.31 million Keccak functions per second on its ZK-ASIC design.
• Hardware Products: Two ASIC-based hardware products were planned for release in 2025:
• ZK Air: A compact, portable plug-and-play ZK proof accelerator.

Products and Services

Alongside the core Cysic Network, the project is building a product suite that targets ZK workloads, AI services, and mining applications.

Cysic AI is presented as an infrastructure offering for AI models, organized into three service tiers.

DogeBox 1 Miner

The DogeBox 1 is a consumer Scrypt ASIC miner intended for household use to mine Dogecoin (DOGE) and Litecoin (LTC). The unit measures 100x100x35mm, consumes 55W of power, and operates at noise levels below 35dB. In addition to mining, the DogeBox 1 can verify ZK proofs for DogeOS, a ZK-based Layer 2 for Dogecoin, creating a mechanism where operators earn both DOGE mining rewards and CYS incentives for ZK verification.

• Serverless Inference: A usage-based API service granting access to large language models such as Meta-Llama-3 and Phi-4.
• Agent Marketplace: A decentralized venue for AI agent applications built on Solana, incorporating an "Agent Swarm Framework" for collaborative workflows and payments settled in USDC.
• Verifiable AI: Cysic's central strategic product that employs ZK proofs and GPU acceleration to enable cryptographic verification of AI inference. This capability is compatible with frameworks like PyTorch and TensorFlow.

Tokenomics

Cysic's economic design uses a dual-token arrangement plus tokenized node licenses to realize the ComputeFi model. The maximum supply of CYS is 10 billion tokens.

The network conducted a CYS token airdrop and an NFT-to-CYS redemption initiative with a vesting schedule that unlocks 50% at the Token Generation Event (TGE) and releases the remaining 50% linearly over six months.

Token Distribution

• $CYS (Network Token): The native, transferable utility token of the Cysic Network. Its principal functions include payment of transaction fees, staking by nodes, and rewarding compute providers and verifiers for services. CYS can also be staked to obtain governance rights.
• $CGT (Governance Token): A non-transferable token representing long-term commitment to the network. CGT is minted at a 1:1 ratio by locking CYS tokens and is used for "Computing Governance." It acts as an admission bond for compute providers to deter malicious behavior and features a longer unbonding period than CYS.
• Ecosystem & Community: 50% (of which 5% is allocated for airdrops)
• Team: 15%
• Foundation: 15%
• Strategic Round Investors: 14%
• Seed Round Investors: 6%

Team and Investors

Cysic was created by a team with backgrounds in hardware engineering, cryptography, and blockchain systems.

Key Team Members

Investors and Funding

The project has raised financing across multiple rounds from notable venture firms. It closed a $6 million seed round led by Polychain Capital and later announced a $12 million Pre-A round in May 2024.

• Xiong (Leo) Fan (Co-founder & CEO): Holds a Ph.D. from Cornell University. He previously served as an Assistant Professor of Computer Science at Rutgers University and worked as a researcher at Algorand. His scholarly focus includes cryptography and hardware acceleration.
• Ming Wu (Co-founder & CTO): An expert in high-performance computing and integrated circuit design who leads Cysic's hardware efforts.
• Bowen Huang (Co-founder & Head of Hardware): Possesses a Master's degree from the University of Southern California and has prior hardware R&D experience at Intel and Meta.
• Minghang Pan (Co-founder & Principal Scientist): A founding team member with a principal scientist role.
• Jacob Zhao (Chief Strategy Officer): Serves as the project's CSO.
• Polychain Capital
• HashKey Capital
• OKX Ventures
• ABCDE
• Matrix Partners