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the-ethereum-roadmap-merge-surge-verge
Blog

EVM Design Choices Locked In Years Ago

The Ethereum Virtual Machine's foundational architecture, set in 2014-2015, now represents critical technical debt. This analysis examines how its 256-bit words, single-threaded execution, and storage model constrain the post-Merge roadmap, forcing complex workarounds like danksharding and Verkle trees.

introduction
THE DESIGN CONSTRAINTS

The Immovable Foundation

Ethereum's foundational design choices, made a decade ago, create an inescapable performance ceiling for all EVM chains.

The EVM is single-threaded. Every transaction executes sequentially on a single CPU core, a design that prevents parallel execution and caps throughput regardless of node hardware. This is why Solana's Sealevel runtime and Sui's Move-based parallel execution are architectural responses to this fundamental bottleneck.

Storage is astronomically expensive. The 20k gas per 256-bit word cost makes on-chain data storage prohibitive, forcing L2s like Arbitrum and Optimism to use off-chain data availability layers. This cost structure birthed the entire rollup-centric roadmap and protocols like Celestia and EigenDA.

256-bit words dominate gas. Operations on Ethereum's native 256-bit integers are inefficient on modern 64-bit hardware, consuming extra gas for simple math. This design favors cryptographic operations but penalizes complex financial logic, a trade-off that shapes DeFi contract design to this day.

Evidence: The EVM's gas schedule has remained largely unchanged since 2015. Major upgrades like EIP-1559 tweaked the fee market but did not alter these core computational costs, proving their immutability.

thesis-statement
THE ARCHITECTURAL ANCHOR

Core Thesis: The EVM is Strategic Debt

The EVM's foundational design is a technical debt that constrains modern blockchain architecture and user experience.

The EVM is a state machine designed for a single-threaded world. Its synchronous execution and global state model create a hard throughput ceiling that scaling solutions like Arbitrum and Optimism must work around, not fix.

Account abstraction is a retrofit, not a native feature. The externally owned account (EOA) model forces protocols like Safe and ERC-4337 to build complex infrastructure for features Solana and Sui provide at the base layer.

Intent-based architectures are impossible under strict EVM semantics. Systems like UniswapX and Across require off-chain solvers because the EVM cannot natively express or settle user intents, adding latency and fragmentation.

Evidence: The gas cost of a simple ETH transfer has not meaningfully decreased. Layer 2s reduce fees by batching, but the underlying computation cost per opcode remains bound by the EVM's inefficient 256-bit architecture.

DESIGN LOCK-IN

The Cost of Legacy: EVM vs. Modern VMs

A comparison of foundational architectural choices between the Ethereum Virtual Machine and next-generation execution environments like Solana, Aptos, and Sui.

Architectural FeatureEVM (Legacy)Solana (Sealevel)Aptos/Sui (MoveVM)

Execution Model

Single-threaded, sequential

Parallel by default

Parallel by default

State Access Model

Global shared state

Explicitly declared accounts

Object-centric, owned state

Gas Metering

Per-opcode, static pricing

Per-instruction unit, dynamic

Per-byte, storage-based

Max Theoretical TPS (Theoretical)

~30

~65,000

160,000

State Bloat Mitigation

None (requires EIPs)

State rent (inactive accounts)

Explicit storage fees, object deletion

Native Cross-Shard Composability

Account Abstraction (Native)

Upgradeable Smart Contracts (Native)

deep-dive
THE FOUNDATION

Anatomy of Lock-In: Three Critical Constraints

EVM design choices from 2015 created a powerful but rigid foundation that now constrains modern blockchain architecture.

The 256-bit word size is the EVM's atomic unit, dictating gas costs for storage and computation. This choice optimized for cryptographic operations but makes native 64-bit efficiency impossible, forcing modern VMs like Solana's Sealevel or Fuel's UTXO model to rebuild from scratch for performance.

Synchronous execution with global state mandates that all transactions serially modify a single world state. This creates a scalability ceiling that parallel EVMs like Monad or Neon EVM must architect complex workarounds for, unlike inherently parallel systems like Aptos Move.

The gas metering model directly ties opcode costs to a single-threaded execution model. This makes dynamic gas pricing and execution parallelization a fundamental rewrite, a challenge projects like Arbitrum Stylus confront when integrating non-EVM languages.

Evidence: The EVM's design forces L2s to spend ~20% of their gas on proof costs (ZK) or fraud proof overhead (Optimistic), a tax that native parallel chains like Sui avoid entirely.

case-study
ARCHITECTURAL DEBT

Roadmap Workarounds: Patching the EVM

The EVM's foundational design, locked in 2015, creates systemic bottlenecks that modern L2s and protocols must engineer around.

01

The Storage Overhead Problem

EVM stores all data on-chain, forcing L2s to pay for expensive calldata. The solution is EIP-4844 (Proto-Danksharding), which introduces cheap, temporary data blobs.

  • Key Benefit: Reduces L1 data costs for rollups by ~10-100x.
  • Key Benefit: Enables ~$0.01 L2 transaction fees without sacrificing security.
~100x
Cheaper Data
$0.01
Target TX Fee
02

The Synchronous Composability Ceiling

EVM's sequential, atomic execution limits throughput and forces all dApps to compete for the same block space. The workaround is parallel execution, pioneered by Solana and Monad.

  • Key Benefit: Enables 10,000-100,000 TPS by processing non-conflicting transactions simultaneously.
  • Key Benefit: Unlocks new dApp designs impossible under strict serialization.
10k+
TPS
Parallel
Execution
03

The Gas Token Monoculture

EVM requires ETH (or the native L2 token) for gas, creating UX friction and liquidity fragmentation. The solution is gas abstraction via ERC-4337 (Account Abstraction) and Paymasters.

  • Key Benefit: Users can pay fees in any ERC-20 token (e.g., USDC).
  • Key Benefit: Enables sponsored transactions for seamless onboarding.
Any Token
Pay Gas With
0-Cost
User Onboarding
04

The Opaque State Access Tax

EVM storage reads are unpredictable and expensive, causing high and variable gas costs. The fix is state access precompiles and specialized proofs, as seen in zkSync Era and Starknet.

  • Key Benefit: Predictable gas pricing via pre-compiled cost tables for common operations.
  • Key Benefit: ~30% gas savings on complex DeFi transactions by optimizing proof circuits.
~30%
Gas Saved
Predictable
Pricing
05

The 256-bit Arithmetic Anchor

EVM's native 256-bit word size is inefficient for modern cryptography (e.g., BN254, BLS12-381) and common compute. The workaround is custom precompiles and co-processors like Risc Zero and Axiom.

  • Key Benefit: Enables ZK-proof verification on-chain at feasible cost.
  • Key Benefit: Offloads complex computation (e.g., ML inference) off-chain with on-chain verification.
ZK-Verified
Off-Chain Compute
Specialized
Precompiles
06

The Single-Threaded State Machine

The EVM is a single, global state machine, making horizontal scaling impossible. The escape hatch is modular execution layers and sovereign rollups (e.g., Celestia, EigenDA).

  • Key Benefit: Unlimited TPS via multiple, parallel execution environments.
  • Key Benefit: Sovereignty allows chains to fork and upgrade without L1 consensus.
Modular
Architecture
Sovereign
Rollups
counter-argument
THE PATH DEPENDENCY

The Network Effect Defense (And Its Limits)

EVM's dominance is a function of historical network effects, not technical superiority, creating a moat that is simultaneously powerful and brittle.

EVM's lock-in is absolute. The 2015 design choices for gas accounting and 256-bit words created a de facto standard for tooling and developer onboarding. This birthed the Ethereum Virtual Machine ecosystem, where every wallet, indexer, and auditor is optimized for its quirks.

The moat is developer liquidity. A protocol launching on a non-EVM chain like Solana or Fuel must rebuild its entire stack from scratch. This switching cost protects incumbents like Arbitrum and Polygon, which inherit the EVM's tooling and talent pool.

The defense has structural cracks. EVM's synchronous execution model and global state are bottlenecks for scaling. Competitors like Monad and Sei exploit this by designing parallel execution from first principles, offering an order-of-magnitude performance leap.

Evidence: Over 90% of all smart contract value and developer activity remains on EVM-compatible chains. However, Solana's throughput of 5,000 TPS undercuts EVM L2s, proving the network effect's vulnerability to superior architecture.

future-outlook
THE LEGACY CONSTRAINT

The Path Forward: Evolution, Not Revolution

EVM's foundational design, locked in 2015, creates an inescapable gravity well for innovation, forcing progress into incremental, compatible layers.

EVM's design is ossified. Its 256-bit architecture, single-threaded execution, and global state model are technical debt. Newer VMs like Solana's Sealevel or Fuel's UTXO model demonstrate superior efficiency, but the network effect of Solidity and existing tooling makes a clean-slate replacement impossible.

Innovation migrates to L2s. The core protocol is static, so progress happens in execution environments like Arbitrum Stylus or zkSync's LLVM compiler. These layers introduce new VMs and languages while maintaining bytecode-level EVM compatibility, a mandatory concession to the installed base.

The cost is fragmentation. Every L2 becomes a bespoke execution silo with its own proving system and data availability solution. This creates the interoperability nightmare that protocols like LayerZero and Axelar attempt, often unsuccessfully, to solve. The modular blockchain thesis is a direct consequence of EVM's immutability.

takeaways
EVM DESIGN DEBT

Key Takeaways for Builders and Architects

The EVM's foundational architecture, solidified in 2015, creates systemic constraints for modern applications. These are the bottlenecks you must design around.

01

The 256-bit Word Size Tax

The EVM's 256-bit architecture is optimized for cryptographic operations but creates massive overhead for common data types. This is a primary driver of high gas costs and limits throughput.

  • Every operation on a uint8 or address still consumes a full 256-bit word.
  • Memory expansion gas scales quadratically, punishing complex computations and large-scale data processing.
  • Inefficient storage leads to bloated state size, increasing node sync times and hardware requirements.
~32x
Memory Waste
+300%
Gas Overhead
02

Synchronous Execution Prison

The EVM's strictly linear, atomic transaction model prevents concurrent execution and native asynchronous calls, creating artificial bottlenecks for scalability and composability.

  • No parallel processing means network throughput is capped by single-threaded performance, a fundamental limit for rollups and L1s.
  • Atomic reverts kill complex, multi-step transactions, forcing workarounds like UniswapX's off-chain intent system.
  • Cross-chain communication must happen outside the VM, leading to fragmented security models with bridges like LayerZero and Across.
1
Thread
~100ms
Block Time Floor
03

Storage Cost As a System Design Tool

EVM storage isn't just expensive; its pricing model (SSTORE) actively shapes application architecture, often in detrimental ways. This isn't a bug, it's a forced design constraint.

  • 20k gas for a new slot incentivizes extreme data packing and complex structs, increasing contract complexity and audit risk.
  • Zeroing-out refunds were removed (EIP-3529), killing gas-efficient state management patterns and locking in bloat.
  • Applications like NFT projects are forced into off-chain metadata (IPFS/Arweave) not for decentralization, but because on-chain storage is economically impossible.
20k gas
Min Write Cost
$0 Refund
Post EIP-3529
04

The Solidity Monoculture Risk

The EVM is virtually synonymous with Solidity, creating systemic risk through tooling and talent dependency. Alternative languages like Vyper or Fe struggle for mindshare.

  • Compiler bugs (see Solidity 0.8.x patches) become network-level risks.
  • Innovation stagnation in language design limits access to formal verification and safer paradigms (like Move's resource model).
  • Auditor scarcity concentrates power and increases costs, as the entire security industry trains on one stack.
>90%
Solidity Market Share
10x
Audit Cost Multiplier
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EVM Design Debt: The Execution Layer's Technical Baggage | ChainScore Blog