🧠 zkML Performance: 158× Faster Than Rivals
Hook — ZKML used to be a bottleneck. Lagrange made it a highway.
DeepProve outperforms competitors with:
• 158× faster proof time vs. zkVM equivalents
• Support for CNN, MLP, ONNX-formatted models
• Privacy-preserving inference (input + weights hidden)
• Integration with distributed Prover Network
This speed doesn’t just reduce cost — it makes new categories of verifiable AI practical:
• Near-real-time LLM gating
• zk-AI trading
• Auditable decisions in defense/healthcare
Faster proofs = more use cases = higher demand = more LA burned as gas.
💬 CTA — What’s one zkML use case that’s still too slow today — and needs this kind of boost?
DYOR – NFA
