Cysic ZK-verified inference: GPU sumcheck and 10x speedup on CNN-4M
Quote222 words
Cysic delivers real-time ZK proofs of neural network inference using a GPU-parallelized sumcheck protocol and custom CUDA kernels, reporting about 10x over prior benchmarks. A VerifiableModule wrapper integrates with PyTorch and TensorFlow.
Key claims
~10x faster than state of the art on CNN-4M
Roadmap extends to LLMs like Llama and DeepSeek
Part of Cysic's ComputeFi vision
The future of AI is verifiable.
And powered by @cysic_xyz?
TL;DR on Cysic's Vision for Scaling ZK-verified Inference
- Cysic addresses the primary computational bottleneck of Verifiable AI by delivering real-time, ZK-powered inference for neural networks through a massively parallel, GPU-accelerated platform. It reports a ~10x performance increase over state-of-the-art benchmarks on models like CNN-4M.
- The core technical advantage is twofold: a GPU-parallelized sumcheck protocol that atomizes cryptographic computations across thousands of CUDA threads to fully saturate hardware, and custom CUDA kernels for prime-field arithmetic that maximize ALU throughput by prioritizing fast on-chip memory (registers, shared memory) over slow global memory.
- The platform abstracts away cryptographic complexity via seamless integration with major ML frameworks (e.g. PyTorch, TensorFlow). Devs can wrap existing models in a "VerifiableModule" to generate proofs alongside model outputs without rewriting code or deep crypto expertise.
- The immediate roadmap includes extending support to more complex architectures, including large-scale LLMs like Llama and DeepSeek, rolling out live application demos, and a full open-source release to foster a community-driven ecosystem around the technology.
- This initiative serves as a core pillar of Cysic’s broader "ComputeFi" vision, which aims to create a decentralized compute layer where AI operates as a trust-minimized, verifiable service, enabling a new class of on-chain agents and secure AI apps.
Recommend to DYOR (and yap) anons.
QUOTING @cysic_xyz
The future of AI is verifiable. We’re unlocking real-time, GPU-accelerated proofs for machine learning models. No more tradeoffs between speed and trust. From CNNs to LLMs, AI is becoming provable. Read the full breakdown: t.co/8EKIMOj53F t.co/bq46qTmxG8
The future of AI is verifiable. We’re unlocking real-time, GPU-accelerated proofs for machine learning models. No more tradeoffs between speed and trust. From CNNs to LLMs, AI is becoming provable. Read the full breakdown: t.co/8EKIMOj53F t.co/bq46qTmxG8
What came next · since 24 Jul 2025
Since then
Zero has written 3 more pieces on Cysic since this one.