Why Monad’s Parallel Execution Could Redefine EVM Throughput

Ethereum’s Virtual Machine (EVM) is the backbone of DeFi, NFTs, and countless dApps, yet it’s notorious for a single, glaring bottleneck: sequential transaction processing. While Layer 2s have offered relief, they often introduce trust assumptions and fragmentation. But what if the EVM itself could be fundamentally re-engineered to execute thousands of transactions simultaneously, without breaking compatibility? That’s exactly the question Monad seeks to answer with its parallel execution architecture.

How Parallel Execution Differs from Traditional EVMs

The standard EVM processes transactions one after the other—a linear, cautious approach that guarantees safety but throttles throughput. Think of it as a single-lane road where every car must wait for the one in front to finish. Monad, by contrast, introduces optimistic parallel execution. It processes many transactions at once, then re-runs any that conflict. This is not a mere optimisation; it’s a paradigm shift.

The “Optimistic” Twist

Monad doesn’t pre-analyse dependencies to decide what can run in parallel—that would be slow and complex. Instead, it executes everything in parallel and only later checks for conflicts. If two transactions try to modify the same storage slot, Monad re-executes the second one using the correct state. This approach dramatically increases average throughput because most transactions don’t actually conflict.

A Concrete Example: The DeFi Sandwich Attack

Consider a typical Ethereum block during high congestion: a user’s swap, a MEV bot’s front-run, and another user’s swap all target the same Uniswap pool. On Ethereum, these execute sequentially, taking up valuable block space and time. On Monad, the two user swaps might execute in parallel without conflict, while the MEV bot’s transaction is re-run only if it truly interferes. The result? More user trades per second, less wasted block space, and a fairer playing field for regular participants.

This isn’t theoretical. Monad’s testnet has demonstrated peak throughput exceeding 10,000 transactions per second—orders of magnitude beyond Ethereum mainnet’s ~15 TPS. For a UK trader trying to execute a quick ETH-to-USDC swap during a volatile London afternoon, that difference means the difference between getting your price and watching it slip away.

What This Means for Developers and dApps

For the UK developer community, Monad’s EVM compatibility is a massive boon. You can deploy existing Solidity contracts without rewriting a single line. Your familiar tooling—Hardhat, Foundry, Ethers.js—works out of the box. The change is entirely under the hood.

Gas Costs and Latency

Parallel execution naturally reduces contention for block space. Early estimates suggest gas fees on Monad could be 50-100x lower than Ethereum L1 during peak usage. For a UK-based NFT project minting 10,000 items, that could mean saving thousands of pounds in gas alone. Latency also drops: transactions confirm in under one second, making real-time gaming and high-frequency trading viable on-chain.

The Practical Takeaway

Monad isn’t just another L1 or L2—it’s a fundamental rethinking of how the EVM should work. For UK builders and investors, the key is to watch the mainnet launch timeline and begin experimenting on the testnet now. If parallel execution delivers on its promises, the next wave of scalable DeFi and consumer apps could run on a chain that feels like Ethereum, but performs like Solana. Get your Solidity skills ready; the bottleneck is about to break.