This month, our team at Zama released a new version of TFHE-rs (v1.3), along with Concrete (v2.11), a new Hugging Face demo for Concrete ML, and the FHEVM (v0.7) for the Zama Confidential Blockchain Protocol Testnet.
With these releases, Zama continues to expand its suite of products to make homomorphic encryption more accessible, easy to use, and fast.
TFHE-rs v1.3 brings several major improvements and new features across CPU, GPU, and HPU backends. These updates enhance performance, usability, and security for Fully Homomorphic Encryption (FHE) workloads, including faster division on CPU, a key upgrader, memory tracking on GPU, and HPU backend enhancements.
Concrete v2.11 improves Rust integration of the Concrete toolchain with native TFHE-rs interoperability, enabling Python-defined FHE modules to process TFHE-rs ciphertexts directly in Rust. It also streamlines Python-to-Rust module export and refines the Rust APIs for smoother, more stable development workflows.
Read the documentation of Rust integration
Concrete ML team brings a new demo that showcases private AI-generated text detection using Fully Homomorphic Encryption (FHE). The demo leverages the Concrete ML framework to classify whether text has been generated by AI, while keeping user data encrypted throughout the process.
FHEVM v0.7 introduces the Zama Confidential Blockchain Protocol Testnet. This version provides a more resilient and scalable protocol stack for running confidential smart contracts on EVMs.
News, research and product releases
Protocol
Solutions
PRODUCTS
Resources
community
company
.svg)
.svg){kind=icon}
.jpg)
.jpg)