Cysic, the zero-knowledge (ZK) proof generation and verification layer-1, announces ComputeFi, a hardware tokenisation model enabling developers and users to access high-performance computing power through on-chain assets. With the cost of GPUs and specialised chips rising sharply, and infrastructure dominated by large players, ComputeFi aims to make computing power more affordable and decentralised for developers and users.
Cysic is the first full-stack compute network, purpose-built for AI/ZK and mining workloads. By vertically integrating from silicon to blockchain, Cysic achieves unmatched control over performance, cost, and scalability. It serves as foundational infrastructure for Web3 and decentralised computing at scale.
ComputeFi is designed to unlock real-world utility in crypto, said Leo Fan, Co-Founder of Cysic. We wanted to ease the cost of scaling real-time applications, and help to generate sustainable yield for the biggest crypto use cases today: crypto mining, AI inference, and zero-knowledge proving.
With Nvidia reportedly raising GPU prices by up to 15%, and the chip market projected to grow at a 7.26% CAGR through 2033, access to computing power is becoming unaffordable. Smaller developers and projects are being priced out of infrastructure, limiting their ability to build scalable, real-time applications. ComputeFi addresses this by lowering the entry cost for compute access and giving users a share of infrastructure-backed rewards.
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ComputeFi tokenises real computing hardware (GPUs, ZK chips, mining rigs) into digital assets that anyone can invest in or earn from—without needing to buy or store physical machines. These tokens are managed by smart contracts that track performance, automate reward distribution, and record activity on-chain.
What is the Gap Cysic is trying to Bridge with Respect to Scalability Onchain Economic Reliability?
Cysic is bridging the gap between the rising demand for scalable, real-time blockchain applications and the limited, often centralised access to the compute power required to run them. Today, high-performance computing—critical for AI, zero-knowledge proofs, and mining—is expensive and concentrated in the hands of a few players. This bottlenecks the reliability and growth of the on-chain economy. ComputeFi decentralises access to this infrastructure by turning real-world computing hardware into tokenised assets that are accessible, programmable, and yield-generating, enabling broader participation and reducing costs for developers and users.
Will Cysic Propagate ComputeFi in the tent of Bootstrapping InfoFi and RWAs?
Absolutely. ComputeFi is our core thesis—it’s about turning raw compute into financial assets. The ComputeFi platform functions by tokenising RWAs (Real World Assets): real computing hardware, including GPUs, ZK chips, and mining rigs. These tokens become assets that anyone can earn from, without needing to manage or store the machines directly.
We’re building ComputeFi products that directly plug into these markets, enabling transparent, on-chain compute power as collateral or as data verifiers. And when it comes to InfoFi—the idea of financialising information itself—ComputeFi becomes the infrastructure layer that enables verifiable computing to transform raw data into trustworthy, tradable insights.
How Will ZK Stack Validium Help Make Cysic ComputeFi Progress Meaningful?
Validium gives us the best of both worlds: scalability and verifiability. In the context of ComputeFi, this means we can run massive amounts of compute-intensive tasks off-chain—think ZK proofs, AI inference, data indexing—but still commit proofs of correctness on-chain. It makes the whole system transparent, auditable, and secure without killing performance. That’s how we make ComputeFi a foundation for credible, verifiable assets—ZK tech ensures the system isn’t just fast, but trustworthy.
Will Users Be Incentivised Through Compute2Earn Mechanism?
Yes. ComputeFi introduces a Compute2Earn model where users who hold or stake tokenised compute assets—such as NFTs representing GPU or mining hashpower—can earn yield generated by the underlying hardware. For example, in the mining context, users receive DOGE rewards based on actual output. Over time, this model may expand to include staking or routing compute power for ZK proofs or AI workloads, allowing users to earn based on real economic activity powered by their fractional ownership in the compute layer.
The movement towards ComputeFi gives developers and everyday users a practical way to access the compute resources needed for blockchain, AI, and privacy technologies. By bridging the gap between hardware providers and those building real-time applications, Cysic’s model ensures that compute power doesn’t remain locked in the hands of a few large players, but becomes a shared, usable asset for the entire crypto ecosystem.
Most people can’t afford to buy and operate high-end compute hardware,” said Leo. ComputeFi bridges this gap. It connects those who need compute with those who have it, and allows anyone to generate yield from the infrastructure that powers blockchain, AI, and mining technologies.
One of ComputeFi’s first proposed applications is Dogecoin and Litecoin mining, which is currently being developed and will be rolled out in the coming months. Cysic plans to create NFTs representing multi-million hashes per second of mining power. Token holders would earn DOGE rewards based on the actual output of the equipment, bringing mining profits to a wider pool of users. This model removes the barriers of hardware ownership while ensuring transparency and verifiable payouts.