Cysic’s core business logic is ComputeFi (Computational Financialization), aimed at solving the massive computational bottleneck in zero-knowledge proofs and AI inference. Through in-house hardware and decentralized networks, it transforms high-performance computing capabilities from expensive fixed assets into programmable, verifiable, and tradable on-chain assets.
01 Project Overview
In the wave of integration between blockchain and artificial intelligence technologies, a new narrative called ComputeFi is emerging. Its core is to transform computing power itself into a financialized asset.
However, many projects are still in the conceptual stage. Cysic’s approach is quite different; it does not just talk about the future but precisely breaks down “computing power” into three core, must-be-implemented issues: verifiable AI inference, scalable ZK proofs, and a fluid decentralized computing network.
Cysic aims to become a decentralized universal proof layer, providing trustworthy, efficient, and cost-effective infrastructure for Web3 and the broader computing world.
02 Core Pillars: Three Keys to Solving Computing Power Challenges
Cysic builds its competitiveness not through single-point breakthroughs but via three tightly intertwined technological lines, collectively supporting the vision of ComputeFi.
Verifiable AI Inference: Ending the “Black Box” Era
The core obstacle for AI applications on-chain is not purely computational capacity but the credibility of results. Traditional AI models are like a black box; users can only passively accept their output and cannot verify whether the process is correct or tampered with.
Cysic attaches verifiable cryptographic proofs to each AI inference process. This means that judgments or generated content from an AI model can be verified for authenticity just like blockchain transactions.
For AI project teams, this opens a new path:无需自建庞大的计算集群,也无需管理底层复杂的推理框架,只需接入 Cysic 网络,就能直接获得 “带证明的推理结果”。This effectively turns AI’s “results” into a new, auditable on-chain asset.
Scalable ZK Proofs: From “Luxury” to “Everyday Goods”
Zero-knowledge proofs are key to blockchain scalability and privacy protection, but their generation process is computationally intensive and costly, long-standing industry bottlenecks.
Past ZK proofs have been like “luxury goods,” only large institutions or laboratories could afford their costs. Cysic aims to optimize proof generation costs and speed to a level suitable for large-scale commercial use through a full-stack hardware acceleration solution.
Its technical path covers both dedicated and general-purpose hardware:
ASIC route: Self-developed C1 chips based on zkVM architecture, offering extreme performance and energy efficiency for large-scale ZK workloads. The planned ZK Pro devices aim to serve high-performance scenarios like zkRollup and zkML.
GPU route: Providing a comprehensive SDK and ZKPoG end-to-end optimized stack, developed in collaboration with Tsinghua University. It achieves up to 52x acceleration in proof generation on consumer-grade GPUs, enabling any GPU to participate efficiently in proof creation.
Fluid Decentralized Computing Network: Building a Computing Power Market
Many decentralized computing projects are essentially “shared server rooms,” with nodes simply stacked, often leading to high costs and low efficiency.
Cysic’s network is a fine-grained task matching and verification marketplace. Its core logic is not about competing in node quantity but reorganizing tasks, proofs, and incentives through a Proof-of-Compute consensus mechanism.
In this network: nodes contribute “proved, quantifiable computational actions,” with task scheduling managed by the system rather than node competition. Incentives are directly linked to the quality of task completion and proofs. This creates a liquidity market for computing power that more closely resembles a real economic system and is a core expression of ComputeFi.
03 Technical Implementation: Full-Stack Hardware Acceleration and Dual-Tokens Economy
Full-Stack Hardware Acceleration Solution
Cysic adopts a tripartite parallel strategy involving GPU, ASIC, and FPGA to meet various scenarios.
GPU offers flexibility and rapid iteration, suitable for quick deployment and algorithm validation, and currently dominates the market.
ASIC pursues peak performance and energy efficiency, preparing for large-scale demand after ZK proof standardization, providing orders-of-magnitude performance improvements.
FPGA fills the gap between the two, balancing programmability and energy efficiency, suitable for low latency and specific algorithm iterations.
This “hardware-software co-design” capability constitutes a deep technological moat for Cysic.
Dual-Token Economic System
Cysic has designed a dual-token model to balance network governance, resource allocation, and long-term incentives.
$CYS*:** Native functional token of the network. Users participate in resource allocation, task scheduling, and basic network governance by staking $CYS .
$CGT*:** Governance token. Obtained through staking $CYS , used for long-term governance decisions and management of computational pools, ensuring fair resource distribution and rational network development.
04 Ecosystem Development: Testnet and Community Progress
Cysic’s network development has entered the practical testing phase. Its “Ignition” testnet’s third phase has been launched, opening opportunities for community participation in the decentralized computing economy.
To incentivize early community members, Cysic launched the “Yapper” program, distributing 0.6% of the total supply of $CYS tokens as rewards to active promoters and testers. Additionally, the project has opened access to its AI platform tools for trend discovery and token minting functionalities.
05 About Cysic (CYS) Token
It is particularly important to note that, according to publicly available information, as of December 10, 2025, Cysic’s native token $CYS has not yet been listed or traded on the Gate exchange platform.
Therefore, this article cannot provide real-time price, trading volume, or market cap data for $CYS on Gate. Investors interested in the Cysic project and its tokens are advised to closely follow Gate’s official announcements for future listing information, trading pair details, and the latest market data.
06 Future Prospects and Challenges
Cysic stands at the intersection of ZK hardware acceleration and AI inference verification. Its vision is to become an indispensable computing infrastructure for Web3. In the short term, it meets market demand through GPU clusters; in the medium term, it plans to expand into retail markets with consumer ASIC miners; and in the long term, it aims to consolidate its leadership through specialized chips and the financialization of computing resources.
However, this sector faces fierce competition, with giants like Polygon and zkSync deeply involved in ZK. Moreover, ZK algorithms are not yet fully standardized, and large-scale commercial demand is still brewing, posing challenges for hardware solution selection and iteration.
Cysic’s essence is not merely building a computing power network but transforming raw “computing power” into advanced resources that can be freely priced, verified, and invoked within the blockchain world through verifiability and market mechanisms.
This positioning elevates it beyond ordinary infrastructure projects, giving it the potential to play a defining role in the paradigm shift of computing. When computing itself becomes trustworthy and tradable, it will drive a more transparent, efficient, and open digital economy future.
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Cysic (CYS) In-Depth Analysis: Redefining the Future of Computing with ZK and AI's Hardcore Foundation
Cysic’s core business logic is ComputeFi (Computational Financialization), aimed at solving the massive computational bottleneck in zero-knowledge proofs and AI inference. Through in-house hardware and decentralized networks, it transforms high-performance computing capabilities from expensive fixed assets into programmable, verifiable, and tradable on-chain assets.
01 Project Overview
In the wave of integration between blockchain and artificial intelligence technologies, a new narrative called ComputeFi is emerging. Its core is to transform computing power itself into a financialized asset.
However, many projects are still in the conceptual stage. Cysic’s approach is quite different; it does not just talk about the future but precisely breaks down “computing power” into three core, must-be-implemented issues: verifiable AI inference, scalable ZK proofs, and a fluid decentralized computing network.
Cysic aims to become a decentralized universal proof layer, providing trustworthy, efficient, and cost-effective infrastructure for Web3 and the broader computing world.
02 Core Pillars: Three Keys to Solving Computing Power Challenges
Cysic builds its competitiveness not through single-point breakthroughs but via three tightly intertwined technological lines, collectively supporting the vision of ComputeFi.
Verifiable AI Inference: Ending the “Black Box” Era
The core obstacle for AI applications on-chain is not purely computational capacity but the credibility of results. Traditional AI models are like a black box; users can only passively accept their output and cannot verify whether the process is correct or tampered with.
Cysic attaches verifiable cryptographic proofs to each AI inference process. This means that judgments or generated content from an AI model can be verified for authenticity just like blockchain transactions.
For AI project teams, this opens a new path:无需自建庞大的计算集群,也无需管理底层复杂的推理框架,只需接入 Cysic 网络,就能直接获得 “带证明的推理结果”。This effectively turns AI’s “results” into a new, auditable on-chain asset.
Scalable ZK Proofs: From “Luxury” to “Everyday Goods”
Zero-knowledge proofs are key to blockchain scalability and privacy protection, but their generation process is computationally intensive and costly, long-standing industry bottlenecks.
Past ZK proofs have been like “luxury goods,” only large institutions or laboratories could afford their costs. Cysic aims to optimize proof generation costs and speed to a level suitable for large-scale commercial use through a full-stack hardware acceleration solution.
Its technical path covers both dedicated and general-purpose hardware:
Fluid Decentralized Computing Network: Building a Computing Power Market
Many decentralized computing projects are essentially “shared server rooms,” with nodes simply stacked, often leading to high costs and low efficiency.
Cysic’s network is a fine-grained task matching and verification marketplace. Its core logic is not about competing in node quantity but reorganizing tasks, proofs, and incentives through a Proof-of-Compute consensus mechanism.
In this network: nodes contribute “proved, quantifiable computational actions,” with task scheduling managed by the system rather than node competition. Incentives are directly linked to the quality of task completion and proofs. This creates a liquidity market for computing power that more closely resembles a real economic system and is a core expression of ComputeFi.
03 Technical Implementation: Full-Stack Hardware Acceleration and Dual-Tokens Economy
Full-Stack Hardware Acceleration Solution
Cysic adopts a tripartite parallel strategy involving GPU, ASIC, and FPGA to meet various scenarios.
This “hardware-software co-design” capability constitutes a deep technological moat for Cysic.
Dual-Token Economic System
Cysic has designed a dual-token model to balance network governance, resource allocation, and long-term incentives.
04 Ecosystem Development: Testnet and Community Progress
Cysic’s network development has entered the practical testing phase. Its “Ignition” testnet’s third phase has been launched, opening opportunities for community participation in the decentralized computing economy.
To incentivize early community members, Cysic launched the “Yapper” program, distributing 0.6% of the total supply of $CYS tokens as rewards to active promoters and testers. Additionally, the project has opened access to its AI platform tools for trend discovery and token minting functionalities.
05 About Cysic (CYS) Token
It is particularly important to note that, according to publicly available information, as of December 10, 2025, Cysic’s native token $CYS has not yet been listed or traded on the Gate exchange platform.
Therefore, this article cannot provide real-time price, trading volume, or market cap data for $CYS on Gate. Investors interested in the Cysic project and its tokens are advised to closely follow Gate’s official announcements for future listing information, trading pair details, and the latest market data.
06 Future Prospects and Challenges
Cysic stands at the intersection of ZK hardware acceleration and AI inference verification. Its vision is to become an indispensable computing infrastructure for Web3. In the short term, it meets market demand through GPU clusters; in the medium term, it plans to expand into retail markets with consumer ASIC miners; and in the long term, it aims to consolidate its leadership through specialized chips and the financialization of computing resources.
However, this sector faces fierce competition, with giants like Polygon and zkSync deeply involved in ZK. Moreover, ZK algorithms are not yet fully standardized, and large-scale commercial demand is still brewing, posing challenges for hardware solution selection and iteration.
Cysic’s essence is not merely building a computing power network but transforming raw “computing power” into advanced resources that can be freely priced, verified, and invoked within the blockchain world through verifiability and market mechanisms.
This positioning elevates it beyond ordinary infrastructure projects, giving it the potential to play a defining role in the paradigm shift of computing. When computing itself becomes trustworthy and tradable, it will drive a more transparent, efficient, and open digital economy future.