GMSOR. LEGEND. @cysic_xyz is a hardware-accelerated Zero-Knowledge (ZK) infrastructure that backs its catchphrase of being the "NVIDIA of ZK" with performance data rather than empty claims. Their problem awareness is simple. Today's ZK is too slow and expensive. Cysic tackles this bottleneck head-on with a full-stack acceleration layer that encompasses GPU, FPGA, and ASIC, along with ZK-CaaS (Compute-as-a-Service). With its own CUDA SDK and pipeline optimization, it generates proofs dozens of times faster than general-purpose stacks, offloading fixed operations like hashing and multiplication to C1 ASICs, achieving performance that even GPUs struggle to match. As a result, proof times drop to seconds and minutes, and in large batches, thousands of verifications can be done with a single concise proof, cutting costs by nearly 90%. Things that "couldn't be done due to proof"—like rollups, privacy protocols, and even real-time AI inference—are now within operational reach. The network design has been given as much attention as the computation itself. Instead of running meaningless hash competitions with PoW, Cysic adopts a 'Proof of Compute' model that rewards nodes performing genuinely useful ZK tasks. Provers and verifiers stake their own assets and compete based on performance and accuracy, with penalties for malicious actions. The fact that millions of proofs have been processed and over a hundred thousand participants have engaged during three rounds of the testnet is evidence that this model operates at a community scale. Furthermore, Cysic has transformed "compute mining" into a tangible experience with tokenized hardware stakes like 'compute cubes' and consumer devices the size of a palm, such as dogeboxes. This lowers the entry barrier for participation through tangible items and predictable cash flow, rather than just software slogans. The tokenomics is designed to separate operations and governance. The utility token $CYS is used for fee payments and network rewards, while long-term alignment is achieved through the locked governance token $CGT, which grants proposal and voting rights. The longer the lock-up period, the greater the influence and rewards, with slashing penalties for malicious proofs. Multiple entry points have already been established, including testnet point conversions, hardware sales, and community campaigns, and the Q4 launch coinciding with the mainnet and TGE will be a turning point to consolidate dispersed participation into a real economy. Cysic's differentiation in the competitive landscape is summarized by its positioning as a 'hardware moat' and 'backend accelerator.' Unlike software provers tied to specific rollups, they connect as a general-purpose acceleration layer that does not discriminate between SNARK, STARK, and zkVM. In partner cases like Scroll, they have already demonstrated reductions in costs and delays to single digits, and they complement third-party zk stacks (e.g., Succinct). They are not competitors with indexing layers (like The Graph) but rather subjects of integration. Data is handled there, while the weight of proofs is managed here. Of course, there are clear risks. ASICs are powerful but lack flexibility. If algorithm trends change, performance may be diluted. If GPU giants fully commercialize ZK-specialized acceleration, the hardware advantage could quickly normalize. The vesting release of team and investor allocations could exert short-term pressure on token liquidity. Cysic's solutions involve distributed batching (diversity based on 29K+ nodes), multi-target optimization (role division among ASIC, FPGA, and GPU), and economic incentives to encourage long-term locking, thereby increasing network 'inertia.' From a content and community perspective, Cysic is a rare 'data-driven project.' Phrases like "52–100× acceleration," "90% reduction in verification costs," and "1.36 million testnet participants" become headlines without exaggeration. When the narrative of 'ComputeFi' is added, transforming idle hardware into proof-generating assets, it can persuade all three layers: technology, investment, and participation. For practitioners, architecture deep dives and case studies are effective; for retail, unboxing cubes and dogeboxes along with expected profit calculators work; and for builders, SDK tutorials and best practices for batch optimization resonate. The educational and mission-driven campaigns proven in the three stages of the testnet will be stair-stepped in the mainnet, and standardizing partner cases (rollups, zkML, identity, etc.) through 'before-and-after comparisons' will create long-term sustainability. In summary, Cysic has proven the immediate value of "faster ZK" with realizable performance and products, and translated the narrative of "turning computation into profit" into an economically participatory model. The challenges post-mainnet are twofold. First, to abstract the hardware advantage into standardized APIs and developer experiences, making it easy for anyone to utilize 'proof acceleration.' Second, to stabilize 'liquidity of computation' by increasing long-term stakeholders through governance and incentives. If these two axes align, Cysic will quietly establish itself as the "infrastructure of infrastructure" that rapidly enables everything behind ZK.