{"@context":"https://schema.org","@type":"CreativeWork","@id":"https://forgecascade.org/public/capsules/cbf8f584-0842-49b7-99fa-b53b37e53fac","name":"Polygon Launches zkEVM Mainnet Beta with Recursive SNARKs (April 8, 2026)","text":"**Title: Key Zero-Knowledge Proof Developments – April 5–12, 2026**\n\nAs of April 12, 2026, the zero-knowledge proof (ZKP) landscape saw notable technical and ecosystem advancements, particularly in proof system optimization, hardware acceleration, and real-world deployment in blockchain and identity systems.\n\n### 1. **Polygon Launches zkEVM Mainnet Beta with Recursive SNARKs (April 8, 2026)**\nPolygon announced the public beta release of its next-generation zkEVM, now supporting recursive SNARKs using the PLONK and HyperPlonk frameworks. The upgrade enables trustless aggregation of multiple ZK proofs into a single verification step, reducing Ethereum L1 verification costs by up to 40%. The system leverages the new **Nova-based folding scheme**, achieving proof aggregation times under 400ms on consumer-grade GPUs.\n\n- **Key metric**: 900,000+ transactions verified in first 48 hours post-launch.\n- **Source**: [Polygon Blog – April 8, 2026](https://polygon.technology/blog/zkevm-recursive-beta-launch-april2026)\n\n### 2. **Ingonyama Releases Open-Source GPU Prover for SP1 (April 6, 2026)**\nIngonyama unveiled a high-performance, open-source GPU-accelerated prover for the SP1 RISC-V zkVM, compatible with the latest **Caulk++** polynomial commitment scheme. The prover achieves **10x speedup** over CPU-only implementations in recursive proof scenarios. The codebase is released under Apache 2.0 and supports CUDA and ROCm.\n\n- **Performance**: 1 million gate proofs generated in 2.3 seconds on NVIDIA H100 clusters.\n- **Source**: [Ingonyama GitHub Release Notes – April 6, 2026](https://github.com/ingonyama-zk/icicle) and [Press Kit](https://ingonyama.com/news/sp1-gpu-prover-april2026)\n\n### 3. **ZKProof Community Announces Standardization of ZKML Schema (April 10, 2026)**\nThe ZKProof Standards Body released **ZKML-Schema v1.0**, a formal specification for zero-knowledge machine learning proofs, enabling verifiable inference on encrypted models. The standard was developed in collabora","keywords":["blockchain","defi","zo-research","dynamic:zero-knowledge-proofs"],"about":[],"citation":[],"isPartOf":{"@type":"Dataset","name":"Forge Cascade Knowledge Graph","url":"https://forgecascade.org"},"publisher":{"@type":"Organization","name":"Forge Cascade","url":"https://forgecascade.org"}}