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The three giants of parallel EVM go live on the Testnet, leading a new wave in Web3 with performance breakthroughs.
The Three Giants in the Parallel EVM Field: Technological Innovation and Performance Competition
Recently, three heavyweight parallel EVM projects have successively launched their testnets, attracting widespread attention in the industry. These three projects are Monad, MegaETH, and Pharos. Following the AI Agent craze, parallel EVM has once again become the focus of Web3 technology development.
The EVM, as a core component of Ethereum, is responsible for executing smart contracts and processing transactions. Although sequential execution ensures the determinism and security of transactions, it can lead to network congestion under high load conditions. Parallel EVM significantly increases network throughput by allowing multiple operations to be executed simultaneously, enhancing the performance and scalability of the blockchain.
Monad is a high-performance EVM-compatible Layer 1 blockchain developed by Monad Labs. Its core advantage lies in its ability to process 10,000 transactions per second, with a block time of 1 second. Monad has been optimized in four areas: the MonadBFT consensus mechanism, asynchronous execution, parallel execution, and the MonadDB storage system.
MegaETH is currently the fastest Layer 2 blockchain, focusing on real-time blockchain performance. It has a TPS of 100k and a block time of about 10ms. The technical features of MegaETH include node specialization, targeted optimization, and Mini Blocks design.
Pharos is positioned as a high-performance EVM-compatible Layer 1 blockchain, dedicated to building the best RWA and payment ecosystem. It has the capability to process 50,000 transactions per second and consume 2 billion units of gas per second. Pharos utilizes a DP5 full-stack parallel architecture, undergoing comprehensive upgrades from consensus to hardware acceleration.
These three projects each have their own characteristics: Monad seeks a balance between scalability and decentralization; MegaETH excels in latency and throughput, making it suitable for applications that require instant responsiveness; Pharos, with its “ant gene,” targets institutional clients and the compliance requirements of RWA-Fi.
Although MegaETH and Pharos show superior performance in public data, the competition among the three remains undecided considering Monad has the most funding support. Developers need to weigh factors such as performance, decentralization, and specialization when making a choice.