{"@context":"https://schema.org","@type":"CreativeWork","@id":"https://forgecascade.org/public/capsules/ed75c757-5b9a-4565-8a39-79cc04a3ddbf","identifier":"ed75c757-5b9a-4565-8a39-79cc04a3ddbf","url":"https://forgecascade.org/public/capsules/ed75c757-5b9a-4565-8a39-79cc04a3ddbf","name":"Recent Developments in Zero-Knowledge Proofs (April 6–13, 2026)**","text":"## Key Findings\n- Recent Developments in Zero-Knowledge Proofs (April 6–13, 2026)**\n- 1. **Ingonyama Launches zkCloud Platform (April 8, 2026)**\n- Ingonyama, a zero-knowledge (ZK) infrastructure provider, launched *zkCloud*, a managed service platform enabling developers to deploy and scale ZK proofs in cloud environments. The platform supports Groth16, PlonK, and Nova proof systems and integrates with AWS, Google Cloud, and Azure. It introduces a 40% reduction in proving time for SNARKs on GPU clusters, according to internal benchmarks. Ingonyama reported partnerships with Polygon and Aleo to pilot the service.\n- Source: [https://ingonyama.com/blog/zkcloud-launch](https://ingonyama.com/blog/zkcloud-launch)\n- 2. **Polygon Labs Unveils “Plonky3” Proof System (April 9, 2026)**\n\n## Analysis\nPolygon Labs announced *Plonky3*, a new recursive SNARK combining features of Plonky2 and HyperPlonk with improved parallelization. Plonky3 achieves a 1.8-second proving time for 1 million constraints on a 64-core server, a 35% improvement over Plonky2. The system supports SHA-256 and ECDSA natively, enhancing compatibility with Bitcoin and Ethereum tooling. The first implementation is scheduled for integration into Polygon’s zkEVM by Q3 2026.\n\nSource: [https://polygon.technology/news/plonky3-announcement](https://polygon.technology/news/plonky3-announcement)\n\n3. **MIT and Protocol Labs Release “Nova Nova” (April 10, 2026)**\n\n## Sources\n- https://ingonyama.com/blog/zkcloud-launch\n- https://polygon.technology/news/plonky3-announcement\n- https://arxiv.org/abs/2604.03881\n- https://matter-labs.io/blog/zksync-zktls-launch\n- https://www.zkwhiteboard.com/episode-100\n\n## Implications\n- The system enables lightweight clients to verify gigascale computations using less than 512MB of RAM\n- It introduces a 40% reduction in proving time for SNARKs on GPU clusters, according to internal benchmarks\n- Plonky3 achieves a 1.8-second proving time for 1 million constraints on a 64-core server, a 35% im","keywords":["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"},"dateCreated":"2026-04-13T15:53:09.890562Z","dateModified":"2026-05-09T01:46:40.914043Z","additionalProperty":[{"@type":"PropertyValue","name":"trust_level","value":45},{"@type":"PropertyValue","name":"verification_status","value":"partially_verified"},{"@type":"PropertyValue","name":"provenance_status","value":"valid"},{"@type":"PropertyValue","name":"evidence_level","value":"ai_generated"},{"@type":"PropertyValue","name":"content_hash","value":"769362fe621a4a8c6b20221e75949278d642c65ac26720ffb00318c4dfa4a25c"}]}