Cysic Research: ZK Hardware Accelerated ComputeFi Road

Author:0xjacobzhao

 

The zero knowledge certificate (ZK) as a new generation of encryption and build-up infrastructure has demonstrated great potential in block chain expansion, privacy computing and new applications such as zkML, cross-chain certification, etc. However, it proves that the process of generation is calculated in large quantities and with high delays, making it the biggest bottleneck for industrialization. The ZK hardware acceleration is at the heart of the rise in this context, where GPUs grow in universality and iterative speed, ASIC pursues highly energy-efficient and scale-based performance, and the FPGA, which is the intermediate form, with flexible programming and higher energy efficiency, together constitute the hardware base for zero-knowledge proof of landing。

I. ZK ACCELERATING INDUSTRY PATTERN OF HARDWARE

GPUS, FPGAS AND ASICS CONSTITUTE THREE MAIN MAINSTREAM PROGRAMMES FOR HARDWARE ACCELERATION: THE GPUS ARE WIDELY USED IN AREAS SUCH AS AI, ZKS WITH UNIVERSAL PARALLEL STRUCTURES AND MATURE ECOLOGY; THE FPGAS RELY ON RECONSTRUCTABLE PROPERTIES FOR FAST ITERATIVE AND LOW-DELAYED SCENARIOS; AND THE ASIS ACHIEVE EXTREME PERFORMANCE AND ENERGY EFFICIENCY THROUGH DEDICATED CIRCUITS, WHICH ARE THE FINAL FORMS OF SCALE AND LONG-TERM INFRASTRUCTURE。

• GPU (Graphics Processing Unit):UNIVERSAL PARALLEL PROCESSORS, INITIALLY GRAPHICALLY OPTIMIZED, ARE NOW USED EXTENSIVELY IN AI, ZK AND SCIENTIFIC CALCULATIONS。

• FPGA:Programmable hardware circuits, the logical door level “like Lego”, can be configured over and over again, between generic processing and dedicated circuits。

• ASIC (Application-Specific Integrated Crime):Specialized chips tailored to specific tasks, one-time burn, fixed functions, performance and energy efficiency are highest, but the least flexible。

GPU MARKET MAINSTREAM: GPU has become the core computing resource for AI and ZK. In the AI area, GPU relies on parallel structures and mature ecology (CUDA, PyTorch, TensorFlow), almost irreplaceable and a long-term mainstream of training and reasoning. In the area of ZK, GPU, with its cost and availability advantages, is the best option at this stage, but it is limited to storage and bandwidth in large integer simulations, MSM and FFT/NT, energy efficiency and economies of scale, and more specialized hardware programmes are still needed for the long term。

FPGA FLEXIBLE PROGRAMME:Paradigm was a bet in 2022 on the FPGA as being “sweet point” between flexibility, efficiency and cost. FPGA does have the advantage of flexible programming, short development cycles, reusable hardware, etc., for missions such as ZK certification algorithms, prototype validation, low-delayed scenes (HF transactions, 5G base station), marginal computations with limited power consumption and high-security encryption. But FPGA is difficult to compete with GPU, ASIC in performance and scale economy. Its strategic positioning is closer to the “validation and iterative platform when algorithms are not defined” and to long-term demand in a few subdivisions。

ASIC FINAL FORM:ASIC is highly mature in encrypted currency mining (bitcos SHA-256, litcos/scryp) and achieves quantitative performance and energy efficiency advantages by solidizing algorithms into circuits. In ZK certificates (e.g. Cysic) and AI reasoning (e.g. Google TPU, Cold War). In the ZK certificate, however, large-scale demand is still under way because algorithms and algorithms are not yet fully standardized. Once standards are firmly established in the future, AISIC is expected to re-establish its ZK base of power, as does the mining AISIC, with 10 to 100 times its performance and energy efficiency advantages, as well as low marginal post-partum costs. In the AI area, GPU will continue to dominate training because of the frequency of algorithmic trajectories and the high reliance on matrixes, but ASIC will have irreplaceable value in fixed missions and scalable reasoning。

THE GPU IS CURRENTLY THE BEST SOLUTION IN THE ACCELERATED EVOLUTION PATH OF ZK HARDWARE, TAKING INTO ACCOUNT COST, AVAILABILITY AND DEVELOPMENT EFFICIENCY, SUITABLE FOR FAST-TRACKING AND ITERATIVEIZATION; THE FPGA IS MORE LIKE A “SPECIALIZED TOOL” THAT IS VALUABLE IN ULTRA-LOW-TIME, SMALL-VOLUME INTERCONNECTION AND PROTOTYPE VALIDATION, BUT DIFFICULT TO COUNTERBALANCE WITH THE ECONOMY OF THE GPU; AND, IN THE LONG RUN, AS ZK STANDARDS STABILIZE, ASC WILL BECOME THE BACKBONE OF THE INDUSTRY BY VIRTUE OF ITS EXTREME PERFORMANCE/COST AND ENERGY EFFICIENCY ADVANTAGES. THE OVERALL PATH IS SHORT-TERM RELIANCE ON GPU TO SEIZE MARKETS AND REVENUE, MEDIUM-TERM VALIDATION AND INTERCONNECTION OPTIMIZATION WITH FPGA, LONG-TERM BET ON ASIC TO BUILD THE CALCULATOR RIVER。

HARDWARE PERSPECTIVE: ZK ACCELERATING BOTTOM TECHNICAL BARRIERS

Cysic's core strength is thatHARDWARE ACCELERATION OF ZKI don't know. Representational papersYesZK Hardware Action: The Past, the President and the FutureIt's not like thatThe team saysGPUwith flexibility and cost efficiency, andASICEnergy efficiency and extreme performance are superior, but development costs need to be weighed against programmability. Cysic, goASIC INNOVATION + GPU ACCELERATIONDOUBLE-LINE PARALLEL ROUTES, FROM CUSTOM CHIPS TO GENERAL SDK, DRIVE ZK FROM "VALITABLE" TO "REAL-TIME AVAILABILITY"。

1. ASIC route: Cysic C1 chip and specialized equipment

Cysic self-studyC1 CHIPBased on zkVM architecture, high bandwidth and flexible programming. Based on this Cysic plan to launch two hardware items: ZK Air and ZK Pro

• ZK Air: Portable accelerators, iPad-like chargers, iPad chargers, i.e. plug-in, for lightweight validation and development

• ZK ProHigh performance systems, combined with C1 chips and front-end acceleration modules, located in large-scale zkrollup, zkML etc。

Cysic's research directly supports its ASIC route. Team presentationHypercube IRAS ZK-SPECIFIC INTERMEDIATE, IT WILL PROVE THAT CIRCUITS ARE IN ABSTRACTION AS RULED PARALLEL MODELS, LOWER THE THRESHOLD FOR CROSS-HARDWARE MIGRATION, AND MAINTAIN VISIBLY THE MODE OF MODE OF OPERATION AND ACCESS IN CIRCUIT LOGIC TO FACILITATE HARDWARE IDENTIFICATION AND OPTIMIZATIONMillion Keccak/sIN THE EXPERIMENT, SELF-STUDY C1 CHIP SINGLES ACHIEVE APPROXIMATELY1.31M Keccak certificate/sec (approximately 13x acceleration), demonstrates the potential of dedicated hardware for energy efficiency and throughputHyperplonk Hardware AnalysisIt is noted that MSM/MLE is easier to synchronize, while Sumcheck remains a bottleneck. Overall, Cysic is developing a complete methodology for the compilation of abstraction, hardware validation and protocol suitability, laying the foundation for productization。

2. GPU Route: General SDK + ZKPOG End to Terminal

In GPU direction, Cysic advances simultaneouslyUNIVERSAL ACCELERATION SDKandZKPoG Full Process Optimization Stack:

• GENERIC GPU SDKBased on self-study CUDA framework, compatible with the backends of Plonky2, Halo2, Gnark, Rapidsnark, performance beyond open source programs, support multi-model GPU, emphasisCompatibility and accessibilityI don't know。

• ZKPOG (Zero-Knowledge Prof on GPU): End-to-end GPU in partnership with Tsinghua University to optimize for the first time the full process from Witness generation to multiple calculations. Maximum speed on consumption level GPU52x(average)22.8 x1.6 TIMES THE SIZE OF THE CIRCUIT, VERIFIED IN SHA256, ECDSA, MVM ETC。

Cysic's core competitiveness isIntegrated software and hardware design (Hardware-Software Co-Design)I don't know. Team studyZK ASIC, GPU CLUSTER AND PORTABLE MINESA whole-house system that together forms the calculator of power supply achieves depth synergy from the chip layer to the protocol layer. Cysic adopts 'EXTREME ENERGY EFFICIENCY AND SCALE OF ASIC"and 'GPU FLEXIBILITY AND RAPID ITERATIVETHE COMPLEMENTARITY PATTERN, WHICH ESTABLISHES THE STATUS OF THE LEADING ZKP HARDWARE SUPPLIER IN A HIGH-INTENSITY ZERO-KNOWLEDGE PROOF SCENARIO AND BUILDS ON IT FOR CONTINUOUS ADVANCEMENTZK Hardware Finance (ComputeFi)The industry path。

General Proof Layer under the PoC Consensus

The Cysic team released its book on September 24, 2025Crystal Network WhitepaperI don't know. ItemsComputeFiFINANCIALIZATION OF GPU, ASIC AND MINERS INTO PROGRAMMABLE, VERIFIABLE, TRADABLE ASSETS, BASED ONCosmos CDK + Proof-of-Compute (PoC)BUILD A DECENTRIZED "MULTIVAL VALIDATION" MARKET WITH THE EVM EXECUTIVE LAYER, WITH UNIFIED SUPPORTZK CERTIFICATION, AI REASONING, MINING AND HPCI don't know. Self-studyZK ASIC, GPU CLUSTER AND PORTABLE MINESandCYS/CGT DUAL CURRENCY MECHANISMCysic aims to release real computing mobility and to complement the key pillar of “calculation” in the Web3 infrastructure。

Crystal NetworkFour Layers Up From BottomAchieving cross-cutting flexibility to expand and validate collaboration:

• Hardware LayerCOMPOSED OF CPUS, GPUS, FPGAS, ASICS AND PORTABLE EQUIPMENT, WHICH FORM THE BASIS OF NETWORK COMPUTING。

• Connsus Layer: Based onCosmos CDKBuild and adopt improved versionsCometBFT+Proof-of-ComputeThe Consensus Mechanism, which incorporates both the pledge of tokens and the pledge of arithmetic into the weight of certification, ensures consistency of calculations with economic security。

• Executive LevelCore logic for mission movement, load route, bridge and voting, adoptedEVM COMPATIBLE SMART CONTRACTA multi-domain programmable calculation is achieved。

• Product Layer: Towards the final application scene, integrationZK PROVE MARKET, AI LOGIC FRAMEWORK, ENCRYPTED MINING AND HPC MODULE, allows flexible access to new types of missions and validation methods。

As an industry-oriented programZK Proof LayerCysic provides high performance, low cost certification and certification services. Network's throughGo to Centralize Prover NetworkandOfflink validation + Aggregation UplinkIncreased efficiency andPoC ModelCombine contributions with pledge weights to construct a system of both security and incentive computing governance。

ZK Proof Layer: Decentralization and hardware acceleration

Zero knowledge proves that while the calculation can be validated without disclosing information, the generation process is time-consuming and costly. Cysic NetworkProver decentralised + GPU/ASIC accelerationIncreased efficiency andOfflink authentication+Aggression UplinkThe model reduces the delay and cost of certification in the Taifeng. The process is: the ZK project issues a contract assignment to centralize the competition generation certificate → Verifier multiple validation of contract settlement on the chain. Overall, Cysic combines hardware acceleration and decentrization to build an extended Proof Layer to provide ground support for ZK Rollup, ZKML and cross-chain applications。

Node Role: Crystal Price Mechanism

Cysic introduces in its ZK networkProver Node, the user can directly contribute to the calculation or purchase Digital Harvey for the certification mission and useCYS AND CGTGet reward. By liftingMultiplier Speed FactorMission acquisition can be accelerated. Security for nodes10 CYSAs a bond, violations are detained。

The current core task for Proover isETHProof ProverThe focus is evidenced by the area of the Taipei Master Network, which is designed to promote the ZK at the bottom. Overall, Prover, with its high-intensity computing mandate, is the core executive layer of Cysic network performance and security, and provides the algorithm for subsequent credible reasoning and AgentFi applications。

Node Role: Cysic Verifier Mechanism

This post is part of our special coverage Syria Protests 2011Verifier NodeResponsible for the light-weight validation of the results and for enhancing network safety and scalability. _Other OrganiserPC, SERVERSorOfficial Android ApplicationRun Verifier, passMultiplier Speed FactorIncreased efficiency in task handling and reward。

Verifier ' s participation threshold is lower, with collateral only0.5 CYSAs a bond, it operates in a simple manner and can be joined or withdrawn at any time. Overall, VerifierLow cost, light participationThe model attracts more users, expands the coverage of Cysic at the mobile and mass levels, and enhances the network ' s decentrization and credible validation capabilities。

As of October 15, 2025, the Cysic network was of an initial size: it was operational4.2 million Prover Nodeand100,000 + Verifier Nodecumulative processing tasksMore than 9.1 million, awards have been allocated700,000 CYS/$CGTI don't know. It is important to note that, while the number of nodes is large, they differ from hardware to accessImproper distribution of active and arithmetical contributionsI don't know. Currently connected to the network3 projectsThe ecology is still in its early stages and can it further evolve intoStable calculator network and ComputeFi infrastructureIt still depends on more practical application and cooperation。

IV. AI Perspective Crystal AI: Cloud Services, AgentFi and Credible Logic

The Cysic AI business layout presents the three-tier product-application-strategy: bottomServers InformationPROVIDE STANDARDIZED REASONING API, LOWER CALL THRESHOLD FOR MODELS; MID-LEVELArgentina MarketplaceExplore an AI Agent chain closed loop application;top layerVerifiable AIZKP+GPU speeds up credible reasoning and carries the long-term vision of ComputeFi。

Standard Product Layer: Cloud Logic Service (Serverless Reference)

Cysic AI introduces an on-the-shelf, on-demand standard reasoning service that allows users to achieve low-threshold smart access through API rapid deployment of multiple mainstream large models without having to build or maintain their own calculators. Current supported models include:Meta-Llama-3-8B-Instract(Observation of mandates and dialogue)QwQ-32B(Improving reasoning)Phi-4(light quantitative instruction model) andLlama-Guard-3-8B(Content security review) covering the multifaceted requirements of generic dialogue, logical reasoning, light deployment and compliance review. The service strikes a balance between cost and efficiency, satisfying both the rapid prototype of the developers and the scalable reasoning of enterprise-level applications, and is an important link in the Cysic construction of a credible AI infrastructure。

Applied Experiment Level: Decent Marketplace

Cysic AIArgentina MarketplaceProvides a decentralised smart body application platform where users can call different AI Agent and pass by connecting to the Phantom wallet and completing authenticationSolana USDCAchieving automatic payment. The platform now integrates three core types of intelligence:

• XTrends ArgentinaReal-time analysis of X platform trends and generation of innovative concepts that can be translated into MEME Coin

• Logo Generator Argentina: quick generation of proprietary project identifiers by description

• Publisher AgentOne key deploys MEME Coin to the Solana network (e.g. Pump.fun)。

Agent Marketplace relies on applicationsAgent Swarm FrameworkImprove the effectiveness of collaboration by combining multiple autonomous intelligent bodies into task groups (Swarm), achieving division of labour, parallelity and tolerance; and economic adoptionAgent-to-AgentProtocolRealizing chain payments and automatic incentives to ensure safe and transparent chain settlements, with users paying only for successful operations. Through this combination, Cysic built a coverageTrend analysis, content generation, chain postingThe complete closed ring shows the AI Agent inFinancialization of the chain and ComputeFi Ecology。

Strategic Pillar: Hardware acceleration of credible reasoning (Verifiable AI)

“..Whether the reasoning is credible"is the central challenge in the field of AI reasoning. Verifiable AI provides a mathematical guarantee of the reasoning with zero knowledge (ZKP) and does not need to divulge input and model; the traditional ZKML proves that production is too slow to meet real-time demand, and Cysic accelerates breaking this bottleneck with GPU hardware, suggesting three dimensions of hardware acceleration innovation for Verifiable AI:

• First of all, yesSumcheck Protocol ParallelizationUP, THE TENS OF THOUSANDS OF CUDA LINES HAVE BEEN SPLIT INTO LARGE MULTIPLE COMPUTING TASKS, ENABLING PROOF OF PRODUCTION SPEED TO INCREASE ALMOST LINEARLY WITH THE GPU CORE。

• Second, passCustomize the limited field algorithm core, in-depth optimization of the repository, shared memory and parallel design of the warp-level, which significantly eases the memory bottlenecks of the traditional GPU in modems and keeps the GPU working efficiently。

• Finally, Cysic isEnd-to-end acceleration cage ZKPoG, overwrite the full chain generation-prove generation-validated optimized, compatible with the main backends of Plonky2, Halo2, and measured up to 52x performance of CPU, and achieved about 10 times acceleration on CNN-4M。

Through this set of optimizations, Cysic has moved the verifiable reasoning from a “doctrinologically feasible but too slow” phase to a “real-timeable landing”, significantly reducing delays and costs, making it possible for Verifiable AI to enter a real-time application for the first time。

The Cysic platform is compatible with the PyTorch and TensorFlow, and the developer needs to encapsulate the model into Verifiable Module to obtain the reasoning and corresponding encryption proof without changing the code. On the road map, support for models such as CNN, Transformer, Llama, DeepSeek will be gradually expanded, and real-time Demo validation of face recognition, target testing, etc. will be published; and community-building will be promoted through open codes, files and cases in the coming months。

Overall, the three-layered path of Cysic AI forms a bottom-up evolutionary logic: Servers Service solves "workable," Agent Marketplace shows "workable," and Verifiable AI undertakes "credibility and moat." The first two are more transitions and experiments, and the real value and difference will be reflected in the landing of Verifiable AI, combined with ZK hardware and decentrized computing networks, is the key to the future Cysic’s long-term advantage in the ComputeFi ecology。

V. FINANCING PERSPECTIVES: NFT COMPUTEFI Node

Cysic NetworkNode NFTCONVERT HIGH-PERFORMANCE COMPUTING ASSETS SUCH AS GPU, ASIC, AND CREATE USER-FRIENDLY ONESComputeFi entranceI don't know. Each NFT is a network licence (verifiable license) and carriesRight to return + right to governance + right to participationUSERS CAN REPRESENT OR COMMISSION ZK CERTIFICATES, AI REASONING AND MINING MISSIONS WITHOUT HAVING TO BUILD THEIR OWN HARDWARE AND RECEIVE DIRECT CYS INCENTIVES。

TOTAL NFT IS29,000 units, cumulative16.45 MILLION CYS (1.65 PER CENT OF TOTAL SUPPLY, WITHIN 9 PER CENT OF MAXIMUM COMMUNITY DISTRIBUTION)I don't know. Unlock by50% TGE IMMEDIATE UNLOCK + 50% LINEAR RELEASE FOR SIX MONTHSI DON'T KNOW. IN ADDITION TO THE FIXED ALLOCATION, NFT HOLDERS ALSO ENJOYMultiplier fire acceleration (up to 1.2 x), priority computing authority, governance weightAdditional interests. Public sales are now closed and users canOKX NFT MarketplaceMake a deal。

Unlike traditional cloud computing, Compute Cube is essentially a bottom hardware infrastructureOwnership in the chain:

• Fixed Token Gain: A PERCENTAGE OF $CYS ALLOCATED PER NFT

• Real-time computing gains: NODE ACCESS TO THE ACTUAL WORK LOAD (ZK CERTIFICATE, AI REASONING, ENCRYPTED MINING), WITH PROCEEDS DISTRIBUTED DIRECTLY TO THE HOLDER'S WALLET

• Governance and priority: Holders have governance weights and priority access in the computational movement, protocol upgrades

• Positive circular effectMore tasks, more rewards, more pledges, more governance。

On the whole, Node NFT, for the first time, transformed a fragmented GPU/ASIC into a negotiable chain asset, opening a whole new horizon against the background of AI and ZK demandComputer Investment MarketI don't know。Circulation effect of ComputeFi(More tasks, more incentives, stronger governance) is an important bridge between Cysic's extended computing network and mass users。

VI. Consumer scene: Household ASIC Mines (Doge & Cysic)

Dogcoin was born in 2013, using Scrypt PoW, and has been mining together with Litecoin since 2014 to improve network security through shared computing. Its token mechanism is an unlimited supply + a fixed annual increase of 50 billion DOGEs, which favours community culture and payment attributes. Of the PoW coins that are fully ASCIC, Dogecoin is the most thermal representative except for bitcoin, whose meme cultural and community effects produce long-term ecological viscosity。

At the hardware level, Scrypt ASIC has fully replaced the mainstream of industrial-grade miners such as GPU/CPU, Bitmain Antminer L7/L9. Unlike Bitcoin, which has been completely mineralized, Dogecoin still retains a family mine machine space, with light products such as Goldshell MiniDoge, Fluminer L1, ElphaPex DG Home 1 making it both cash-flow and community-driven。

For Cysic, access to Dogecoin ASIC is threefold: first, Scrypt ASIC is less difficult than ZK ASIC and can quickly validate volume and delivery capacity; second, cash flows from the mining market are mature and can provide a stable yield; and third, Doge ASIC helps build up supply chain and brand experience and lay the foundation for future ZK/AI dedicated chips. In general, family ASIC machines are a practical setting for Cysic while providing transitional support for long-term layout ZK/AI ASIC。

Cysic Portable Dogecoin Miner: A family-level innovation path

Cysic was officially published during Token2049DogeBox 1It's for family and community usersPortable Scrypt ASIC miner, located as a "validated household level computing terminal":

• Portable energy saving(a) The size of the pocket, suitable for household and community users and lowering the threshold for participation

• Insert: Mobile phone app management, for the global retail market

• Dual Functions:(b) Accomplishment of L1+L2 security by mining DOGE and validating the ZK certificate of DogeOS

• Incentive Cycle: DOGE mining + CYS subsidies, forming the economic closure of DOGE→CYS→DogeOS。

The product andDogeOS(Layer-2 Rollup, Polychain Capital Award developed by MyDoge team) andMyDoge walletThe synergy that enabled the Cysic miner not only to dig the mines, but also to participate in the ZK validation and pass theDOGE INCENTIVE + CYS SUBSIDYCreate incentive cycles, enhance user stickiness and integrate into the DogeOS ecology。

Cysic ' s Dogecoin Home Mines is both a practical cash flow point and a long-term ZK/AI ASIC strategic pavement; not only build market and supply chain experience through a hybrid model of "mining + ZK " , but also introduce an extended, verifiable, community-driven L1+L2 narrative for Dogecoin。

VII. Cysic ecological layout and core progress

1. Cooperation with Succinct / Bundless Prover Network

Cysic has been used as a multinode, Prover Access Network, relying on high performance GPU clusters for real-time proofing of SP1 zkVM tasks and working in depth with the team at optimising the GPU code level. Meanwhile, Cysic has joinedBundless Mainnet Betaprovides hardware acceleration for its Proof Marketplace。

2. Early cooperation projects (Scroll)

Cysic used to beScrollProvides high performance ZK calculations, based on GPU clusters, for which large-scale Proving missions are carried out, ensuring low delay and low cost operation, generating cumulatively over millions of certificates. This cooperation not only validated the engineering power of Cysic, but also laid the foundation for its follow-up exploration in the direction of hardware acceleration and computing networks。

3. Family mine machine presentation Token 2049

Cysic published its first portable home ASIC DogeBox 1 in Token2049, officially entering the Dogecoin/Scrypt calculator market. The device is positioned as a “top-level calculator terminal”. DogeBox 1 has a light, low-capacity, plug-in feature, only 55 W, 125 MHz/s calculator, only 100 x 100 x 35 mm, supporting Wi-Fi connection to Bluetooth, noise below 35 dB, suitable for use by household and community users。

In addition to DOGE/LTC mining, the equipment supports DogeOS ZK validation, achieves double L1+L2 security, and constructs a triple incentive cycle for "DOGE →CYS →DogeOS" through DOGE mining + CYS subsidies。

4. Testing Webmaster, main web site

Sysic completed Phase III: Ignition on September 18, 2025, officially completing the marking testing network phase and entering the preparatory phase of the main network. Following the Phaase I validation of hardware and token models and the Phaase II extension of Genesis Node ' s size, the level of user involvement, incentive mechanisms and assetization logic of the computing network was fully validated at this stage。

Cysic is in the test network phaseSuccinct, Aleo, Scroll and BoundlessThe Zero Knowledge project, the official network data show that during the testing of the network a total of 55,000 + wallet addresses, 8 million transactions and 100,000 + set aside high-end GPU devices. The Phase III: Ignition testing network attracts a total of 1.36 million registered users and cumulatively processes about 13 million transactions, forming a network of about 223,000 Verifiers and 4.18 million Provers, 260,000 + nodes. At the incentive level, cumulatively distributed approximately 1.46 million tokens ($7.33 million CYS + 73.33 million CGT) and 4.6 million FIRE, with a total of 48,000 + users participating in the pledge, validated their incentive mechanisms and the sustainability of the algorithm network。

Moreover, Cysic has become widely connected to the core projects in the ZK and AI fields from an ecological map of the official network, demonstrating its wide compatibility and openness as a bottom-up calculator and hardware acceleration provider. These ecological links provide a good external interface and basis for cooperation for the future expansion of the ZK, AI and ComputeFi routes。

• zkeEVM and L2:zkSync, Scroll, Manta, Nil, Kakarot

• zkVM / Proover Network: Succinct, Risc0, Nexus, Axiom

• zk CoprocessorHerodotus, Axiom

• Infrastructure / Cross-chain:zkCloud, ZKM, Polyhedra, Brevis

• Identity and privacy:zkPass, Human.tech

• A prophecy machine: Chainlink, Blacksense

• AI ECOLOGY: Talus, Modulus Labs, Gensyn, Aspecta, Inference Labs

VIII. Cysic token economic model design

Crystal NetworkDouble-currency system: WEB TOKEN $ CYS AND GOVERNANCE TOKEN $ CGT。

• $CYS• For original transferable assets to cover transaction costs, nodal mortgages, block incentives and network incentives to ensure network activity and economic security. The US$CYS is also the main incentive source for computing providers and certificationers. Users can obtain governance weights through a pledge of $CYS and participate in the allocation of resources and governance decisions in the Calculator Pool。

• $CGT: FOR NON-TRANSFERABLE ASSETS, ONLY US$ CYS CAN BE OBTAINED BY COLLATERAL AT 1:1 RATIO AND PARTICIPATE UNDER A MECHANISM WITH LONGER RELEASE CYCLESCommanding Government (CG)I DON'T KNOW. $CGT REFLECTS CALCULUS CONTRIBUTION AND LONG-TERM PARTICIPATION, AND THE COMPUTING PROVIDER IS REQUIRED TO SET ASIDE A CERTAIN AMOUNT OF $CGT AS AN ACCESS BOND TO PREVENT MALICIOUS ACTS。

In network operations, the computing provider will access Crystal Network to service tasks such as ZK, AI and encryption mining. The sources of revenue include block incentives, incentives for external projects and the distribution of computing power. The movement and distribution of incentives will be adjusted according to multi-dimensional factors, of whichExternal project incentives (e. g. ZK, AI, Mining awards)It is the key weight。

Team background and project financing

The co-founder and Chief Executive Officer of Cysic is Xiong (Leo) Fan, an assistant professor at the Faculty of Computer Science at Rutgers University, United States. Prior to that, he served as an Algorand Fellow, a postdoctoral researcher at the University of Maryland, and obtained a doctoral degree at Cornell University. Leo Fan's long-term focus on cryptography and its cross-direction in formalization certification and hardware acceleration has resulted in several papers in international top-level conferences and journals, such as IEEE S& P, ACM CCS, POPL, Eurocrypt, Asiacrypt, covering areas such as simultaneous encryption, gypsy password, functional encryption, protocol authentication. He has been involved in various academic and trade projects with theoretical research and system realization experience and has served as a member of the programme committee at the International Philosophy Academic Conference。

According to LinkedIn ' s open message, the Cysic team is composed of members of the hardware acceleration, encryption research and block chain application background, with core members with industry experience in chip design and system optimization, and academic training in top European and Asian institutions of higher learning. The team is hereHardware development, zero knowledge certification optimization and business outreachThe other direction is complementary。

With regard to financing, in May 2024, Cysic announced completion$12 million Pre-A Round FinancebyHashKey Capital and OKX VenturesCo-leaded by Polychain, IDG, Matrix Partners, SNZ, ABCDE, Bit Digital, Coinswitch, Web3.com Ventures, and George Lambeth, early investor from Celesti/Arbitrum/avax, and Ken Li, co-founder of Eternis。

X. ZK HARDWARE ACCELERATING MARKET COMPETITION ANALYSIS

Direct competition (hardware acceleration)

In the hardware acceleration, Prover and ComputeFi tracks, the core rivals of Cysic include:Ingonyama, Irreducible (former Ulvetana), Fabric Cryptogramy, Supernal, all revolve around "Accelerating ZK Proving Hardware and Networks"。

• Crystal: FULL INN (GPU+ASCIC+NET), MAIN HITComputeFiNarratively, the advantage is in the assetization and financialization of computing, but the ComputeFi model has yet to be market-educated, while hardware production has some challenges。

• IrreducibleThe academic and engineering combination, exploring the new algebra structure (Binius) and zkaSIC, is theoretically innovative, but its commercial landing rhythm may be subject to the economicization of the FPGA。

• IngonyamaOPEN-SOURCE FRIENDLY, ICICLE SDK HAS BECOME THE GPU ZK ACCELERATED FACT STANDARD, WITH HIGH ECOLOGICAL ADOPTION RATES BUT LACKED SELF-STUDY HARDWARE。

• Fabric: POSITIONING AS A "SOFT AND HARD ONE" PATH, ATTEMPTING TO CREATE A UNIVERSAL ENCRYPTION CHIP (VPU), WITH A BUSINESS MODEL SIMILAR TO "CUDA + NVIDIA" SEEKING A WIDER ENCRYPTION MARKET。

2. Indirect competition (ZK Marketplace / Prover Network / zk Coprossor)

On ZK Marketplace, Prover Network and zk Coprocessor, Cysic currently plays moreUpstream computing suppliersThe role of Succinct, Boundless, Riscö, Axiom, etc. are linked to the same client group (L2, zkRollup, ZKML) through zkVM, task control and open markets。

In the short term, Cysic works with these projects mainly in collaboration: Succinct is responsible for the route of the mission, Cysic provides high performance Prover node; zk Coprocessor may divert part of the task to Cysic. But in the long run, if Bundless and Succinct's Marketplace mode continues to grow, while Cysic builds his own Marketplace, the three parties will beClient entrance levelDirect conflicts inevitably arise. Similarly, if zk Coprocessor were to form a closed loop, it could become a direct connection to the customer's alternative hardware, and Cysic risked being marginalized as a “substitute factory”。

 

XI. Summary: business logic, engineering realization and potential risks

Business logic

Cysic byComputeFiFor core narratives, attempts have been made to move computing from hardware production, network movement to financialized assets. Short-term reliance on GPU clusters to meet existing ZK Prover needs and generate revenue; medium-term access to mature cash-flow markets through Dogecoin family ASIC machines, validation of capacity and opening of consumer-grade hardware entry through community culture; long-term goal: self-study of ZK/AI dedicated ASIC, superseding Node NFT and Compute Cube, to effect the assetization and marketization of computing power and to build infrastructure-based moats。

Project realization

At the hardware level, Cysic has completed GPU acceleration Pover/Verifier optimization (MSM, FFT parallelization) and published ASIC research and development results (1.3M Keccak/s prototype experiment). At the network level, a certification chain based on Cosmos SDK is built to support Prover node bookkeeping and task distribution, as well as the arithmetical monetization of Compute Cube/Node NFT. In the direction of AI, the Verifiable AI framework was introduced to achieve credible reasoning through the GPU parallel optimization of Sumcheck with limited domain operations, but with limited variation compared to industry-like products。

Potential risks

1. Market education and demand uncertaintyThe ComputeFi model is a new concept, and the willingness of clients to invest in the calculation of their investment in NFT/currency forms is yet to be validated by the market。

2. ZK INSUFFICIENT OPERATIONAL REQUIREMENTS: The ZK Prover industry is still in its early stages, and at this stage the GPU has been able to meet most of the demand, making it difficult to support the large-scale delivery of ASIC and making a limited contribution。

3. ASIC PROJECT AND VOLUME RISK: PROOF SYSTEMS ARE NOT YET FULLY STANDARDIZED, AND ASIC RESEARCH AND DEVELOPMENT TAKES 12-18 MONTHS, WITH THE RISK OF UNDERMINING COMMERCIALIZATION BY ADDING UNCERTAINTY AS TO THE COST AND YIELD OF HIGH VOLUME FLUIDS。

4. Douge, a domestic mine power bottleneckHousehold scenes have limited overall market capacity and electricity prices and community-driven consumption have led to more “interest-type” consumption, making it difficult to generate stable scale income。

5. AI INSUFFICIENT OPERATIONAL DIVERSITY: The Verifiable AI of Cysic displays the GPU parallel optimization, but its cloud reasoning services vary only to a limited extent, the Agent Marketplace threshold is low and the overall barrier is not prominent。

6. Evolution of competition patterns: For the long term, there may be a conflict with the zkMarketplace or zkCoprocessor project at the client entrance level and a passive retreat from the “upstream” role。

 

Declaration of exemption:This is done with the help of the ChatGPT-5 ' s AI tool, and the author has tried hard to calibrate and ensure that the information is true and accurate, but there are still omissions. In particular, the widespread deviation between the basic aspects of the project and the secondary market price performance in the encrypted asset market is to be noted. The content of this paper is used only for information integration and academic/research exchange and does not constitute any investment proposal, nor shall it be considered a trade recommendation for any token。