@hobbeisa

Zama is pushing Fully Homomorphic Encryption (FHE) from theory into practice by solving its biggest challenge: performance. Traditionally, FHE was too slow, with even simple operations taking microseconds to milliseconds, making AI training or onchain computation impractical. Zama’s approach with TFHE-rs, GPU acceleration, and even hardware-level innovation (HPU) has reduced bootstrapping from seconds to sub-milliseconds. These breakthroughs allow encrypted AI inference to run in seconds instead of minutes, and confidential smart contracts to execute within blockchain block times. With tools like Concrete and FHEVM, @zama is enabling privacy-preserving AI and Confidential Web3 applications at scale. In short, Zama is transforming FHE into real infrastructure for the future of data and privacy. #ZamaCreatorProgram

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