Muriel Médard: Overcoming Web3's Memory Challenge

The current state of Web3 is plagued by a memory problem, hindering its ability to function as a world computer. Unlike traditional computers, which have a dedicated memory layer, Web3's memory is a convoluted mix of best-effort approaches, resulting in slow transactions, sluggish storage, and high costs. Muriel Médard, co-inventor of RLNC, proposes a solution using algebraic coding to create a unified memory layer. By leveraging RLNC, Optimum is developing a decentralized memory infrastructure that enables faster data propagation, efficient storage, and real-time access, making it a key solution for Web3's scalability and efficiency challenges. RLNC transforms data into packets for transmission across a network of nodes, ensuring high speed and efficiency. With RLNC, validators can optimize data propagation for their nodes through a simple API call, increasing throughput and reducing latency. Decentralized RAM, powered by RLNC, can solve Web3's biggest bottlenecks by making memory faster, more efficient, and more scalable, while optimizing data propagation, reducing storage bloat, and enabling real-time access without compromising decentralization.