Ethereum processes transactions one by one in the order they appear in the block. This guarantees consistency but wastes computational resources—most transactions don’t actually depend on each other. For example, Alice swapping tokens on Uniswap has nothing to do with Bob minting an NFT, yet both must wait their turn in the queue.
Monad’s execution engine introduces “optimistic parallelization.” The system assumes that most transactions are independent and executes them in parallel. If a conflict arises (say, two transactions try to modify the same account state), Monad rolls back and re-executes as needed. This approach increases throughput dramatically while preserving EVM compatibility.
Solana’s Sealevel runtime requires developers to specify account dependencies upfront, which creates complexity. Monad removes this friction by keeping the developer experience fully EVM-compatible. Solidity contracts work without modification, while the parallelization happens under the hood.
This is a game-changer. Ethereum developers don’t need to learn a new programming language or execution model. They can write Solidity code as usual, while Monad provides performance improvements automatically. This significantly lowers the barrier to entry for scaling dApps.
Parallel execution introduces complexity in transaction ordering and consensus. Speculative execution needs to be carefully designed to prevent edge cases where conflicts could impact determinism. Monad is investing heavily in testing and formal verification to ensure safety before mainnet launch.
Parallel execution isn’t just a buzzword—it’s the core innovation that positions Monad as a serious competitor in the high-performance blockchain space. If it works as promised, Monad will deliver Solana-level speed with Ethereum-level accessibility, a combination the crypto world has been waiting for.
Smart contract engineer exploring next-gen runtime architectures.
August 9, 2025
Technology
16 min read
Sofia Hernandez