Why Parallel EVMs Are Winning the GTM War

Monolithic EVM chains like Ethereum L1 and early L2s are hitting fundamental throughput limits. Every dApp competes for the same sequential block space, leading to unpredictable costs and latency during congestion.\n- Sequential execution caps TPS at ~15-30 for L1, creating a zero-sum game for users.\n- High gas fees during mempool spikes directly kill user onboarding and retention.

Chains like Monad, Sei V2, and Aptos execute transactions in parallel by default, using techniques like optimistic concurrency control. This decouples a chain's capacity from its consensus speed.\n- Solana's parallelized Sealevel runtime demonstrated the model, achieving ~2k-5k TPS.\n- Monad leverages parallel execution and pipelining to target 10k+ TPS while maintaining full EVM bytecode compatibility.

Parallel EVMs with full EVM equivalence (like Monad) offer a zero-friction migration path. Developers can redeploy existing Solidity/Vyper code with minimal changes, instantly tapping into a higher-performance environment.\n- This bypasses the multi-year ecosystem bootstrapping problem faced by non-EVM L1s.\n- It creates a virtuous cycle: better performance attracts users, which attracts more developers from the $100B+ EVM ecosystem.

Sub-second finality and ultra-low fees unlock entirely new on-chain product categories that were impossible on sequential EVMs. This is the real market expansion play.\n- Enables high-frequency DeFi (order-book DEXs like Hyperliquid), fully on-chain games, and micro-transactions.\n- Creates a structural moat: applications built for this performance cannot back-port to older architectures.

Parallel execution fundamentally changes chain economics. Lower marginal cost per transaction allows protocols to subsidize fees or offer premium features, directly driving user acquisition.\n- Projects can run gasless transactions or sponsored blockspace as a sustainable marketing cost.\n- Higher throughput increases Maximal Extractable Value (MEV) opportunities, redirecting revenue from sequencers back to the protocol treasury.

The ultimate GTM move is for parallel EVM infra providers to enable sovereign execution layers. Teams can launch performant, custom appchains (like dYmension RollApps) that settle to a shared security layer.\n- This captures the entire stack value, from infra fees to app revenue sharing.\n- Mirrors the AWS cloud playbook: provide the foundational primitives (EVM+, shared sequencers) that entire ecosystems are built upon.

Re-architects the EVM from the ground up for parallel execution, bypassing Ethereum's sequential processing bottleneck.

• Key Innovation: MonadBFT consensus with ~1 second finality and a pipelined, asynchronous execution engine.
• GTM Edge: Targets high-frequency DeFi and gaming with 10,000+ TPS potential, directly competing with Solana for performance-sensitive developers.

Brings parallel EVM execution to the Cosmos ecosystem, offering a familiar dev experience with IBC-native interoperability.

• Key Innovation: EVM bytecode compatibility layered atop Sei's parallelized CosmWasm engine and optimistic concurrency control.
• GTM Edge: Captures Ethereum and Cosmos developers simultaneously, leveraging $1.5B+ IBC ecosystem TVL and existing validator security.

Deploys a full EVM as a Solana smart contract, enabling Ethereum dApps to tap into Solana's parallel execution environment.

• Key Innovation: No fork required. Developers deploy standard Solidity/Vyper contracts that run on Solana's parallel runtime.
• GTM Edge: Instant access to Solana's $4B+ DeFi TVL, high-throughput liquidity, and user base without abandoning EVM tooling.

Ethereum processes transactions one-by-one, creating a hard cap on throughput and causing volatile, high fees during demand spikes.

• Bottleneck Impact: Limits DeFi composability, makes consumer apps economically unviable, and cedes market share to monolithic L1s like Solana.
• GTM Consequence: Developers building for scale are forced to choose between ecosystem liquidity and technical feasibility.

By processing non-conflicting transactions simultaneously, Parallel EVMs decouple throughput from single-threaded performance.

• Core Mechanism: Uses optimistic concurrency control (like Sei, Monad) or deterministic scheduling to identify independent transactions.
• GTM Win: Enables ~$0.001 fees at scale, predictable performance for apps, and a seamless porting path for the $50B+ EVM ecosystem.

Parallel EVMs are not competing to replace Ethereum; they are commoditizing execution to make the EVM standard the dominant global smart contract layer.

• Strategic Insight: This mirrors the Android vs. iOS playbook: win developers with superior performance while maintaining compatibility.
• Endgame: A multi-chain future where liquidity and users flow seamlessly across Monad, Sei V2, Neon EVM, and others, all running EVM code.

Ethereum's single-threaded EVM creates artificial congestion, capping throughput at ~15-45 TPS and causing volatile, unpredictable fees. This is the primary UX and scalability wall.

• Blockspace is a zero-sum game: One complex NFT mint can delay thousands of DEX swaps.
• Fee markets fail users: Priority gas auctions (PGAs) extract maximum value during congestion, a poor experience for any mainstream application.

These chains implement parallel execution at the VM level, allowing non-conflicting transactions (e.g., unrelated Uniswap swaps) to be processed simultaneously.

• Monad: Uses parallel optimistic execution and a custom state database for ~10,000 TPS.
• Sei V2: First parallelized EVM using optimistic concurrency control, enabling massively parallelized DeFi transactions.
• Result: Predictable sub-second finality and ~90% lower fees than Ethereum L1 during peak load.

Parallel EVMs offer full EVM bytecode compatibility, creating the easiest possible migration path. This is a brute-force attack on Ethereum's developer ecosystem.

• Code is 99% portable: Teams can fork Uniswap, Aave, or Compound with minimal changes, instantly bootstrapping a mature DeFi stack.
• Liquidity follows: EVM-native bridges like LayerZero and Axelar and wallets like MetaMask work out-of-the-box, eliminating cold-start problems. The network effect is borrowed on day one.

Parallel execution isn't just a tech feature; it's a capital efficiency engine for deployed TVL. More throughput per validator reduces the cost of security per transaction.

• Higher TVL Velocity: $1B TVL on a parallel chain can facilitate more economic activity than the same TVL on a sequential chain.
• Attacks L2 Economics: Why pay Arbitrum or Optimism sequencer fees when an L1 can offer comparable throughput with stronger sovereignty? This reshapes the L1 vs. L2 investment thesis.

Parallelism isn't free. Performance gains depend on low contention for shared state (e.g., popular NFT mint, major oracle update).

• The 80/20 Rule: Most gains come from parallelizing simple transfers and swaps; complex, interdependent DeFi transactions may still sequence.
• New Debugging Hell: Race conditions and non-deterministic state become real concerns, requiring new tools and audit paradigms beyond traditional EVM.

Parallel EVM is the final evolution of the "Ethereum-compatible L1" playbook. It turns raw execution into a cheap, high-performance commodity.

• Winners will differentiate on other axes: Superior DA (Celestia, Avail), bespoke VMs (Move, SVM), or integrated appchains.
• The real battle shifts: From execution to settlement and data availability, where projects like EigenLayer and restaking are creating new economic moats.