Monad Targets 10,000 Transactions per Second as EVM-Compatible Layer-1 Enters Market
Monad (MON) is a new Layer-1 blockchain built to process 10,000 transactions per second while remaining fully compatible with the Ethereum Virtual Machine. The network holds a $322 million market cap at rank 139, with $47 million in 24-hour trading volume as of May 18.
MON traded near $0.027, down less than 1% on the day. Developer and investor attention has gathered around the project’s core claim: EVM-equivalent execution at a speed no existing EVM chain has demonstrated at scale.
What Monad Is and How It Works
Monad is a Layer-1 blockchain, meaning it operates its own independent consensus and settlement layer rather than inheriting security from another network.
A Layer-1, in contrast to a Layer-2 rollup that posts transaction data back to Ethereum (ETH), settles all transactions natively on its own chain.
The EVM, or Ethereum Virtual Machine, is the execution environment that powers Ethereum smart contracts. Thousands of decentralized applications were built to run on it.
A blockchain that is EVM-compatible can run those same applications without rewriting the underlying code, which dramatically lowers the cost of migration for developers.
Monad’s architecture pursues 10,000 transactions per second through a technique called parallel execution. Most EVM chains process transactions sequentially, one after another, which creates a hard throughput ceiling.
Monad’s design identifies transactions that do not conflict with each other and processes them simultaneously. The project describes this as the primary source of its speed advantage.
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The Race for EVM-Compatible Speed
The search for faster EVM execution is not new.
Ethereum’s own mainnet processes roughly 15 to 30 transactions per second. Layer-2 networks like Arbitrum (ARB) and Optimism (OP) reduce congestion by batching transactions off-chain before settling on Ethereum, but they inherit Ethereum’s finality model and add bridge complexity.
Solana (SOL) took a different route by building a non-EVM chain optimized for raw throughput. Solana (SOL) targets 65,000 transactions per second theoretically, though sustained real-world throughput has varied.
Its non-EVM architecture means Ethereum developers must relearn tooling and rewrite contracts to deploy on Solana.
Monad positions itself in a gap between these approaches. It targets developers already writing EVM-compatible code who want higher throughput without leaving the Ethereum tooling ecosystem.
That is the core competitive pitch, and it sets up a direct comparison with chains like Avalanche (AVAX), which also runs an EVM-compatible subnet model, and with BNB (BNB) Chain, which hosts the largest share of tokenized stock activity among EVM networks.
According to the project’s documentation, Monad’s consensus mechanism uses a custom BFT protocol designed to achieve single-slot finality, meaning transactions are confirmed in roughly one second rather than the multiple block confirmations Ethereum requires.
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Background
Monad’s development has unfolded over several years. The team, led by former Jump Trading engineers, began public communication about the project in 2023.
A testnet phase drew significant developer participation ahead of the mainnet launch period. The project raised $225 million in a funding round led by Paradigm in April 2024, one of the larger single-round raises in the Layer-1 category that year.
The $225 million raise placed Monad alongside well-funded Layer-1 bets like Aptos (APT) and Sui (SUI), both of which launched with similar claims about parallel execution and high throughput.
Aptos and Sui achieved initial trading volume but faced questions about sustained developer adoption beyond speculative token trading. Monad enters a market where those precedents are visible to both builders and investors.
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What to Watch
MON’s near-flat price movement on May 18 is less meaningful than developer activity metrics in the months ahead.
The relevant tests for Monad will come from sustained decentralized application deployments, not from token price action driven by CoinGecko trending placement.
The chain’s 10,000 TPS claim will be stress-tested when real-world transaction loads hit the network. Historical EVM chains have rarely approached their theoretical throughput limits under normal conditions, but have sometimes failed to maintain performance during demand spikes.
Whether Monad’s parallel execution architecture holds under load is the open question that will determine its competitive position against both Ethereum Layer-2s and non-EVM alternatives.
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