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This article provides a detailed comparison of two innovative projects, Monad and MegaETH, which are both working to expand the Ethereum ecosystem through unique technological approaches. It offers an in-depth look at Monad’s Layer 1 innovations and MegaETH’s Layer 2 solutions, exploring how these projects overcome performance limitations to enable high-efficiency transaction processing.

This article introduces Monad, a novel layer-1 blockchain that utilizes a Proof-of-Stake (PoS) consensus mechanism and Ethereum Virtual Machine (EVM) compatibility. Through parallel execution and superscalar pipeline technology, Monad significantly enhances transaction processing efficiency and system performance. This paper elaborates on Monad's technical architecture, performance optimization, and improvements over Ethereum, heralding a more efficient and decentralized blockchain future. It demonstrates how Monad drives blockchain development through technological innovation and lays the foundation for a more efficient and decentralized future.

Monad is an EVM Layer1 that achieved its targeted 100,000 TPS through parallel execution technology. As of January 2025, following its successful mainnet launch in late 2024, Monad now processes over 70,000 TPS in production. Its ecosystem has expanded to over 50 projects, with PancakeSwap reaching $250M TVL and LayerZero enabling sub-second cross-chain transactions. Recent technical advancements include 35% faster transaction confirmations and improved MonadBFT security. The Monad token shows strong performance with a $680M market cap and 63% staking participation. This article explores Monad's architectural design, technological innovations, key features, and latest ecosystem developments.

Discover how aPriori uses an innovative MEV liquidity staking protocol to create efficient and secure MEVA infrastructure for Monad, boosting network performance while lowering centralization risks.

Gavel is an innovative platform focused on on-chain token distribution and liquidity guidance, aiming to solve issues such as transparency, market manipulation, and sandwich attacks in traditional token issuance.

This article details the operation of EVM as the core of Ethereum, and explores the innovations made by high-performance Layer1 blockchains in terms of parallel execution and virtual machine selection. In the future, more Layer 1s will implement EVM parallel upgrades or EVM compatible solutions to promote the diverse development of the blockchain ecosystem.

After the consensus algorithm, DA (data layer), and zero-knowledge proof technology have been widely studied and iterated, the next hard-core technology to attract attention is Parallel EVM. The capital market has also invested hundreds of millions of dollars in this narrative, and many unique technologies have been born. A beast-level startup.

The NYC 2.2 event hosted by the Monad Foundation has concluded, with 44 teams participating, focusing on user needs, product-market fit, delivery speed, and breakout strategies, injecting practical and driven construction capabilities into the Layer 1 ecosystem.

Parallel EVM is an upgraded version of the traditional Ethereum Virtual Machine. It improves the transaction throughput and efficiency of the blockchain by processing multiple non-conflicting transactions at the same time. Its implementation includes scheduling-based concurrency processing, multi-threaded EVM instances and system-level sharding.

This article delves into three promising crypto AI projects: Bittensor, Ritual, and Virtual Protocol. Bittensor aims to enhance algorithmic collaboration through a blockchain network, creating a marketplace for shared algorithmic knowledge. Ritual offers a sovereign execution layer that is open and modular, allowing for the hosting and verifiable computation of AI models. Virtual Protocol focuses on developing AI characters for virtual worlds, prioritizing user engagement and immersive experiences. The article evaluates their market performance, technical features, team backgrounds, and prospects, assessing their potential and challenges in the crypto AI sector.

This article introduces native DEX projects within the Monad ecosystem, such as Kuru, Composite, and Zaros, which leverage Monad's high throughput and low latency to enhance capital efficiency, pricing accuracy, and user engagement while providing decentralized security and a superior user experience.

This article introduces parallel EVM and its project description.

This article introduces various AI projects in the current industry, including model training, AI agents, and computation.