Exploring Sei: The Fastest Layer 1 Blockchain Built for Trading

 SEI is a Layer 1 blockchain optimized for trading, aiming to unlock the next stage of Web3 adoption. Trading is at the core of the crypto industry, encompassing various assets and activities beyond traditional financial instruments. Web3 apps, including games and NFT marketplaces, heavily rely on asset exchange for their success. As Web3 continues to grow, trading will play an even more important role, driven by the proliferation of digital assets and the need for 24/7 trading. However, existing Layer 1 and Layer 2 infrastructures face scalability challenges, known as the “Trading Trilemma,” as they struggle to achieve decentralization, scalability, and capital efficiency simultaneously.
 SEI addresses this problem by providing purpose-built infrastructure for trading apps. It is designed as an open-source Layer 1 blockchain, optimized for speed, throughput, reliability, and minimizing front-running (MEV). With its unique focus on trading, SEI offers the best infrastructure for trading apps, enabling gaming economies, NFT marketplaces, and DeFi DEXs to operate more efficiently compared to other Layer 1 solutions. SEI boasts the industry’s fastest time to finality, leveraging Twin-Turbo consensus and built-in parallelization. Its built-in matching engine, front-running prevention, and automatic order bundling enhance app throughput and improve user experience. Unlike Layer 2 solutions, SEI chose to be a Layer 1 blockchain due to drawbacks in terms of decentralization and throughput associated with Layer 2 rollups.
 SEI’s singular focus on trading makes it an attractive choice for developers looking to build on a general-purpose Layer 1. Trading is a universal need in Web3, spanning gaming, social, and NFT applications. SEI’s infrastructure creates a gravitational pull for users, and hundreds of promising teams are already building on the SEI ecosystem, including projects migrating from major Layer 1 and Layer 2 networks like Ethereum, Solana, zkSync, Polygon, and Sui.