What Cysic Is Building
Cysic is a ComputeFi project laser-focused on zero-knowledge-proof (ZK) hardware acceleration. Its end-game is to tokenize every step of the stack—from silicon design, through network orchestration, to the final conversion of raw compute into tradable assets.

Hardware Road-Map: GPU Now, ASIC Later
Short term: squeeze the most out of consumer GPUs. A universal SDK plus the ZKPoG end-to-end optimisation suite already delivers up-to-52× speed-ups on off-the-shelf cards.
Long term: go custom. The in-house C1 ASIC is taped-out and two devices are on the drawing board—pocket-sized ZK Air and the rack-scale ZK Pro—chasing the last drop of performance-per-watt.

Inside Cysic Network
Built with Cosmos CDK, the chain runs Proof-of-Compute (PoC) instead of Proof-of-Stake. Hardware, consensus, execution and application layers are bundled into one modular slab.
Today 42 k Prover nodes and 100 k+ Verifier nodes crunch ZK tasks; 13 million test-net transactions have already settled.

AI Playbook

1. Serverless Inference: one-click APIs for Llama-3, QwQ-32B, Phi-4, Llama-Guard, etc.

2. Agent Marketplace: three launch agents (X-trends hunter, logo generator, Pump.fun publisher) paid in Solana USDC.

3. Verifiable AI: GPU-accelerated ZK proofs that wrap inference results, turning “trust me” into “prove me” at 52× real-time.

ComputeFi & Consumer Scenes
Digital Compute Cube Node NFTs turn hashrate into yield-bearing, governance-granting securities.
The palm-sized DogeBox 1 home ASIC mines Dogecoin while simultaneously validating ZK proofs, closing the loop DOGE → CYS → DogeOS.

Ecosystem & Funding
Partnerships with Succinct, Scroll and others.
Pre-A round closed at US 12 million, led by HashKey Capital and OKX Ventures.

Headline Risks
ComputeFi still needs product-market fit; ZK demand is nascent; ASIC tape-out is a white-knuckle ride; AI differentiation is thin; plenty of rival zkMarketplaces lurk.

Part I – Industry Landscape of ZK Hardware
GPU = general-purpose parallel workhorse (CUDA, OpenCL, mature).
FPGA = reconfigurable Lego for fast-moving algos, but pricey at scale.
ASIC = fixed-function silicon that, once algorithms stabilise, delivers 10-100× the perf/W and becomes the only economically rational choice—exactly what happened to crypto mining.

Part II – Cysic’s Tech Moat
ASIC Track
C1 chip: zkVM-based, high-bandwidth, still partially programmable.
ZK Air (plug-in dongle) and ZK Pro (datacentre blade) share the same die.
HyperCube IR, the bespoke intermediate representation, lets circuits hop between hardware targets without rewrite; single C1 die hits 1.31 M Keccak proofs/s (13× vs GPU).

GPU Track
Universal SDK outruns open-source backends (Plonky2, Halo2, Gnark…).
ZKPoG stack, co-designed with Tsinghua, optimises the full pipeline from witness to polynomial commitment; 52× peak on an RTX-4090, 22.8× average.

Together they form a classic hardware–software co-design flywheel: GPU for iteration, ASIC for annihilation.

Part III – Protocol Layer: Cysic Network, a PoC Universal Proof Layer
Four modular floors:

1. Hardware Layer – CPU/GPU/FPGA/ASIC/DogeBox

2. Consensus Layer – Cosmos CDK + CometBFT + PoC (stake your tokens AND your hashrate)

3. Execution Layer – EVM-compatible contracts route tasks, collect votes, bridge settlements

4. Product Layer – plug-and-play markets for ZK proofs, AI inference, mining, HPC

Workflow: task posted → Provers race (GPU/ASIC) → Verifiers sample-check → results batched on-chain.
Prover nodes bond 10 CYS; Verifier nodes bond 0.5 CYS and can run on a phone.
9.1 k tasks settled, 700 k CYS/CGT paid out so far.

Part IV – AI: Cloud, Agents, Verifiability
Serverless Inference
Pay-per-call access to frontier models; no cluster babysitting.

Agent Marketplace
Autonomous swarms collaborate off-chain, settle on-chain; users pay only for success.

Verifiable AI
ZK proofs guarantee that the model you think ran is the model that actually ran, without revealing weights or inputs. GPU-level parallelisation of Sumcheck, custom finite-field kernels and the same ZKPoG stack shrink proof time from hours to seconds, making real-time attested AI finally practical.
PyTorch/TensorFlow wrappers mean devs add one line and get “inference + proof” back.

Bottom Line
Cysic is betting that tomorrow’s decentralised economy will need two things in infinite supply: fast ZK proofs and trusted AI inference. By minting its own silicon, SDKs and twin-token economy, it is trying to corner the market on both—before the algorithms, and the demand, fully harden.

What Cysic Is Building
Cysic is a ComputeFi project laser-focused on zero-knowledge-proof (ZK) hardware acceleration. Its end-game is to tokenize every step of the stack—from silicon design, through network orchestration, to the final conversion of raw compute into tradable assets.

Hardware Road-Map: GPU Now, ASIC Later
Short term: squeeze the most out of consumer GPUs. A universal SDK plus the ZKPoG end-to-end optimisation suite already delivers up-to-52× speed-ups on off-the-shelf cards.
Long term: go custom. The in-house C1 ASIC is taped-out and two devices are on the drawing board—pocket-sized ZK Air and the rack-scale ZK Pro—chasing the last drop of performance-per-watt.

Inside Cysic Network
Built with Cosmos CDK, the chain runs Proof-of-Compute (PoC) instead of Proof-of-Stake. Hardware, consensus, execution and application layers are bundled into one modular slab.
Today 42 k Prover nodes and 100 k+ Verifier nodes crunch ZK tasks; 13 million test-net transactions have already settled.

AI Playbook

1. Serverless Inference: one-click APIs for Llama-3, QwQ-32B, Phi-4, Llama-Guard, etc.

2. Agent Marketplace: three launch agents (X-trends hunter, logo generator, Pump.fun publisher) paid in Solana USDC.

3. Verifiable AI: GPU-accelerated ZK proofs that wrap inference results, turning “trust me” into “prove me” at 52× real-time.

ComputeFi & Consumer Scenes
Digital Compute Cube Node NFTs turn hashrate into yield-bearing, governance-granting securities.
The palm-sized DogeBox 1 home ASIC mines Dogecoin while simultaneously validating ZK proofs, closing the loop DOGE → CYS → DogeOS.

Ecosystem & Funding
Partnerships with Succinct, Scroll and others.
Pre-A round closed at US 12 million, led by HashKey Capital and OKX Ventures.

Headline Risks
ComputeFi still needs product-market fit; ZK demand is nascent; ASIC tape-out is a white-knuckle ride; AI differentiation is thin; plenty of rival zkMarketplaces lurk.

Part I – Industry Landscape of ZK Hardware
GPU = general-purpose parallel workhorse (CUDA, OpenCL, mature).
FPGA = reconfigurable Lego for fast-moving algos, but pricey at scale.
ASIC = fixed-function silicon that, once algorithms stabilise, delivers 10-100× the perf/W and becomes the only economically rational choice—exactly what happened to crypto mining.

Part II – Cysic’s Tech Moat
ASIC Track
C1 chip: zkVM-based, high-bandwidth, still partially programmable.
ZK Air (plug-in dongle) and ZK Pro (datacentre blade) share the same die.
HyperCube IR, the bespoke intermediate representation, lets circuits hop between hardware targets without rewrite; single C1 die hits 1.31 M Keccak proofs/s (13× vs GPU).

GPU Track
Universal SDK outruns open-source backends (Plonky2, Halo2, Gnark…).
ZKPoG stack, co-designed with Tsinghua, optimises the full pipeline from witness to polynomial commitment; 52× peak on an RTX-4090, 22.8× average.

Together they form a classic hardware–software co-design flywheel: GPU for iteration, ASIC for annihilation.

Part III – Protocol Layer: Cysic Network, a PoC Universal Proof Layer
Four modular floors:

1. Hardware Layer – CPU/GPU/FPGA/ASIC/DogeBox

2. Consensus Layer – Cosmos CDK + CometBFT + PoC (stake your tokens AND your hashrate)

3. Execution Layer – EVM-compatible contracts route tasks, collect votes, bridge settlements

4. Product Layer – plug-and-play markets for ZK proofs, AI inference, mining, HPC

Workflow: task posted → Provers race (GPU/ASIC) → Verifiers sample-check → results batched on-chain.
Prover nodes bond 10 CYS; Verifier nodes bond 0.5 CYS and can run on a phone.
9.1 k tasks settled, 700 k CYS/CGT paid out so far.

Part IV – AI: Cloud, Agents, Verifiability
Serverless Inference
Pay-per-call access to frontier models; no cluster babysitting.

Agent Marketplace
Autonomous swarms collaborate off-chain, settle on-chain; users pay only for success.

Verifiable AI
ZK proofs guarantee that the model you think ran is the model that actually ran, without revealing weights or inputs. GPU-level parallelisation of Sumcheck, custom finite-field kernels and the same ZKPoG stack shrink proof time from hours to seconds, making real-time attested AI finally practical.
PyTorch/TensorFlow wrappers mean devs add one line and get “inference + proof” back.

Bottom Line
Cysic is betting that tomorrow’s decentralised economy will need two things in infinite supply: fast ZK proofs and trusted AI inference. By minting its own silicon, SDKs and twin-token economy, it is trying to corner the market on both—before the algorithms, and the demand, fully harden.