This month, our team at Zama released a new version of TFHE-rs (v1.1), alongside new versions of Concrete (v2.10), and Concrete ML (v1.9). With these releases, Zama continues to build its suite of products to make homomorphic encryption accessible, easy, and fast.
This new version of Zama's TFHE-rs brings several major improvements and new features for both GPU and CPU backends. The GPU backend now matches the CPU’s cryptographic parameters, reducing errors to under 2⁻¹²⁸ with minimal slowdown. Multi-GPU support lets users pick devices, enabling ~500 encrypted 64-bit additions/sec on 8×H100s. The CPU side now supports more scalar operations, enhancing efficiency and flexibility.
Read the full release blog post here
This new version of Zama’s Concrete introduces a powerful new tool: Concrete for Rust – an integration that brings Fully Homomorphic Encryption (FHE) directly to the Rust ecosystem. It’s a significant step toward production-grade FHE applications in modern systems programming.
Read the full release blog post here
This new version of Zama’s Concrete ML introduces support for the TFHE-rs ciphertext format, enabling seamless integration of Concrete ML models into Rust-based FHE pipelines using TFHE-rs. Concrete ML v1.9 also brings performance improvements to the LoRA LLM fine-tuning protocol, and a new client SDK designed for building FHE-enabled browser and mobile applications.
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