@bilalayvazoglu.eth

📣 FASTER PRIVACY THAN ETHEREUM: ZAMA’S 10,000 TPS ROADMAP AND ASIC POWER ✔️ Overcoming FHE’s Performance Challenge While Fully Homomorphic Encryption (FHE) is a cryptographic breakthrough, it has historically been known for being slower and more resource-intensive compared to conventional encryption, due to its computational complexity. Zama's core innovation is the implementation of an architectural and software optimization strategy that overcomes FHE's historical performance bottleneck. Zama claims its FHE protocol is already faster than Ethereum. It is stated that Zama can currently process 20 transactions per second (tps) per chain, which is enough capacity to run the entire Ethereum network with FHE. The roadmap targets reaching 1,000 tps next year. ✔️ Architectural Innovation: Coprocessors and Scalability At the heart of Zama's speed is an innovative coprocessor architecture that offloads FHE computation from the base chain. This architecture provides two critical advantages: *️⃣ Lower Gas Fees: Offloading heavy FHE computations from the main chain significantly reduces gas fees for users. *️⃣ Horizontal Scalability and Verifiability: While the FHE computation complexity is decoupled, the protocol's public verifiability is preserved through decentralized technologies (ZK, MPC). Proving computation integrity and acceleration is made possible by this strategic combination of the offload architecture. ✔️ Software Engineering and Cryptographic Superiority The source of the speed increase is not just better hardware (which accounts for approximately a 2x improvement). Zama has implemented deep optimizations across cryptography, software engineering, and compiler levels to boost performance. This holistic system engineering approach proves technological maturity: *️⃣ TFHE-rs Library: Software engineering efforts in the core FHE library have increased efficiency. TFHE-rs forms the foundation for fast FHE computation, is Rust-based, and offers integration options like C API and JS on WASM API for various platforms. *️⃣ roundPBS Operator: Improvements in the roundPBS operator—one of the critical cryptographic enhancements—directly affect performance by making FHE cycles more efficient. *️⃣ MLIR-Based Compilation: Better management of the compilation process in the MLIR (Multi-Level Intermediate Representation)-based Concrete framework has resulted in significant speed gains, particularly in the Machine Learning (ML) components. ✔️ The 10,000+ TPS Vision with FHE ASICs Zama plans to achieve its ultimate goal of speed and scalability by developing dedicated FHE Application-Specific Integrated Circuits (ASICs) through hardware partnerships. These ASICs will enable ambitious speeds like 10,000+ tps, reinforcing FHE's claim to be a Layer-1 or Layer-2 solution capable of handling global financial and AI transactions. This is a strategy to create a hardware-based competitive advantage that goes beyond software improvements and will be difficult for rivals to catch. ❗ Take Action Explore Zama's speed-focused open-source library, TFHE-rs, on Github. Investigate advanced configurations like GPU and HPU acceleration options to start coding the infrastructure of future privacy. https://github.com/zama-ai/tfhe-rs @zama #ZamaCreatorProgram

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