In this tutorial, Zama team member Lucas Sainati walks through how to accelerate TFHE computations using the HPU.
Zama’s hardware team released the first fully open-source hardware accelerator for FHE - HPU on FPGA.
In this tutorial, Zama team member Agnes Leroy, shows you how to improve multiple-GPU throughput using TFHE-rs.
The winning solution of Zama Bounty Program Season 7 for TFHE-rs, submitted by community member sharkbot.
TFHE-rs v1.1 brings several major improvements and new features for both GPU and CPU backends.
Introducing TFHE-rs v1.0, the first stable version of the Zama TFHE-rs library.