Free 30-min Web3 Consultation
Book Consultation
Smart Contract Security Audits
View Audit Services
Custom DeFi Protocol Development
Explore DeFi
Full-Stack Web3 dApp Development
View App Services
Free 30-min Web3 Consultation
Book Consultation
Smart Contract Security Audits
View Audit Services
Custom DeFi Protocol Development
Explore DeFi
Full-Stack Web3 dApp Development
View App Services
Free 30-min Web3 Consultation
Book Consultation
Smart Contract Security Audits
View Audit Services
Custom DeFi Protocol Development
Explore DeFi
Full-Stack Web3 dApp Development
View App Services
Free 30-min Web3 Consultation
Book Consultation
Smart Contract Security Audits
View Audit Services
Custom DeFi Protocol Development
Explore DeFi
Full-Stack Web3 dApp Development
View App Services
solana-and-the-rise-of-high-performance-chains
Blog

The Future of Execution Environments: Beyond Sealevel

Solana's Sealevel runtime defined high-performance blockchain execution. Now, projects like Arbitrum Stylus and Eclipse are modularizing its core innovation—parallelism—creating a new paradigm for scalable execution layers across ecosystems.

introduction
THE NEXT STACK

Introduction

Sealevel's dominance is ending as new execution environments redefine on-chain logic.

Sealevel is a bottleneck. The synchronous, single-threaded execution model pioneered by Solana constrains complex, stateful applications, creating a ceiling for composability and throughput.

Execution environments are the new L1. Projects like Arbitrum Stylus and Eclipse are deploying custom VMs (WASM, SVM) as sovereign rollups, decoupling execution from any single settlement layer.

The future is heterogeneous. A single chain will host multiple VMs, enabling specialized execution for gaming (Paima), DeFi (Fuel), and AI inference, all settling to a shared data layer like Celestia or EigenDA.

Evidence: Arbitrum Stylus benchmarks show WASM smart contracts execute 10-100x faster than Solidity EVM equivalents, proving the performance gains from VM specialization.

thesis-statement
THE PARADIGM SHIFT

The Core Argument: Execution is a Commodity, Parallelism is the Product

The value in future blockchains shifts from raw execution speed to the orchestration of parallelizable state.

Execution is a commodity. Solana's Sealevel and Ethereum's EVM provide functionally equivalent compute. The marginal cost of a CPU cycle trends to zero, making it a poor long-term moat.

Parallelism is the product. The real bottleneck is state access. Protocols like Aptos Block-STM and Sui's object-centric model monetize the ability to schedule and resolve non-conflicting transactions efficiently.

The market demands composability. Monolithic chains like Solana hit throughput walls from shared state. The future is modular execution layers (EigenLayer, Fuel) that specialize in parallelizing specific workloads.

Evidence: Aptos Block-STM achieves 160k TPS in synthetic benchmarks by reordering transactions dynamically. This proves the bottleneck is scheduling, not raw compute power.

market-context
BEYOND SEALEVEL

The Modular Execution Gold Rush

The future of execution environments is a fragmented landscape of purpose-built VMs, not a single dominant standard.

Sealevel is not the endpoint. Solana's high-performance VM is a first-generation design optimized for a specific hardware and state model. The modular stack demands execution environments specialized for tasks like privacy (Aztec), gaming (Paima), or AI inference (Ritual).

The new abstraction is the VM itself. Developers will choose a VM like Eclipse or Movement based on its language support (Move, Rust) and parallelization scheme, not just its L1 settlement layer. This creates a multi-VM ecosystem.

Parallel execution is the new throughput battleground. Blockchains like Monad and Sui prove that state access patterns, not consensus, are the primary bottleneck. The winning VMs will expose this concurrency to developers through novel paradigms.

Evidence: The $1B+ in venture funding for new L1s and L2s in 2023 targeted execution-layer innovation, not consensus or data availability. Projects like Fuel are building standalone VMs to be deployed across multiple rollup stacks.

BEYOND SEALEVEL

Execution Environment Showdown: Monolithic vs. Modular SVM

A first-principles comparison of Solana's current monolithic Sealevel runtime against emerging modular SVM implementations, focusing on architectural trade-offs for protocol architects.

Architectural FeatureMonolithic SVM (Solana L1)Modular SVM (Eclipse, NitroVM)Generalized VM (EVM, MoveVM)

State Access Model

Global, concurrent via Sealevel

Fragmented, app-specific rollups

Sequential, single-threaded

Throughput (Theoretical TPS)

65,000+ (on L1)

10,000+ (per rollup, shared DA)

< 100 (on L1), ~5,000 (L2)

Latency to Finality

< 2 seconds

< 20 seconds (optimistic) / < 2 secs (ZK)

12 minutes (Ethereum) / < 2 secs (L2)

Developer Friction

Low (single environment)

Medium (orchestrating sequencer/DA)

Low (EVM), High (MoveVM tooling)

Sovereignty & Forkability

False (governed by validator set)

True (own sequencer, DA choice)

True (on L2), False (on L1)

Max Block Compute (CU Limit)

48M CUs (dynamic)

Configurable per chain (e.g., 1.4B in NitroVM)

30M gas (Ethereum), configurable (L2)

Data Availability Cost

$0.00000125 per tx (compressed)

$0.0001 - $0.001 per tx (Celestia/EigenDA)

$0.50+ per tx (Ethereum calldata)

Canonical Liquidity Access

Native (on-chain CLOBs)

Bridged via LayerZero, Wormhole

Native (Ethereum), Bridged (other L1s)

deep-dive
THE EXECUTION LAYER

The Technical Divorce: How Parallelism Gets Decoupled

The future of blockchain execution is the separation of state management from transaction ordering, enabling specialized, parallel runtimes.

Sealevel's inherent limitation is its tight coupling to Solana's global state model. This design forces all parallel transactions to be proven against a single, monolithic state tree, creating a synchronization bottleneck. The next evolution, seen in projects like Monad and Eclipse, decouples these functions entirely.

The new paradigm isolates state into sharded or app-specific environments. A shared sequencer, like those from Espresso or Astria, provides a canonical order stream. Independent execution layers, such as RISC Zero or SVM rollups, then process transactions in parallel against their isolated state, submitting proofs to a settlement layer.

This architecture enables specialization. A DeFi app runs a zk-optimized VM, a game uses a custom WASM runtime, and both process transactions concurrently without contention. The settlement layer, like Celestia or EigenLayer, only verifies proofs, not re-executes logic, scaling throughput linearly with parallel environments.

Evidence: Monad demonstrates this with parallel EVM execution pipelined with asynchronous I/O and a custom state database, targeting 10,000 TPS. This is a 100x improvement over Ethereum's current sequential processing, achievable only by divorcing execution from global state consensus.

risk-analysis
EXECUTION LAYER FRAGMENTATION

The Inevitable Friction: Risks of Modularizing Speed

The push for specialized execution layers like Sealevel creates a new class of interoperability and security risks that threaten the composability modularity promised to deliver.

01

The Atomicity Problem

Cross-shard or cross-rollup transactions lose atomic composability, breaking DeFi's core value proposition. A failed swap on one chain can't automatically revert a loan liquidation on another, creating systemic risk.

  • Breaks DeFi Legos: Uniswap <> Aave interactions become non-atomic.
  • MEV Explosion: Arbitrageurs exploit state discrepancies between chains.
  • User Experience Hell: Requires complex, error-prone bridging logic.
0%
Atomic Guarantee
10-100x
MEV Surface
02

Sovereign Rollup Security Debt

Sovereign rollups and validiums that outsource data availability (DA) to Celestia or EigenDA trade security for scalability, creating a fragile dependency.

  • Data Unavailability Attacks: If the DA layer censors or fails, the rollup halts.
  • Weak Fraud Proofs: Light clients for external DA have weaker security assumptions than Ethereum L1.
  • Fragmented Security Budget: Security is siloed per chain, unlike the shared security of a monolithic L1.
$1B+
TVL at Risk
7 Days
Challenge Window
03

The Liquidity Silos

Every new execution environment fragments liquidity, increasing slippage and reducing capital efficiency. Bridging assets via LayerZero or Axelar introduces trust assumptions and delays.

  • Capital Inefficiency: TVL is trapped in isolated pools.
  • Bridge Risk: Over $2.5B has been stolen from bridges; each new chain adds another vector.
  • Protocol Duplication: Every chain needs its own Uniswap, Aave, and MakerDAO fork, diluting network effects.
-80%
Pool Depth
$2.5B+
Bridge Hacks
04

Hyper-Specialization Overhead

Optimizing execution layers for specific use cases (gaming, DeFi, social) creates operational complexity that outweighs performance gains. Developers must manage infrastructure across multiple heterogeneous environments.

  • Dev Tool Fragmentation: No unified SDK works across all execution layers.
  • Audit Multiplication: Each new VM (EVM, SVM, MoveVM) requires new security audits and expertise.
  • Monitoring Chaos: Observability stacks must aggregate data from dozens of chains.
5x
Dev Time
$500K+
Audit Cost/Chain
05

The Interoperability Tax

Generalized messaging layers like Hyperlane and Polymer introduce latency, cost, and trust assumptions that negate the speed benefits of modular execution. Fast finality on one chain is meaningless if the cross-chain message takes minutes.

  • Latency Mismatch: 2s block time + 3min cross-chain message = broken UX.
  • Cost Stacking: Users pay for execution, DA, and cross-chain messaging.
  • Trusted Relayers: Many interoperability stacks rely on external validator sets.
3-5min
Message Delay
+300%
Cost Overhead
06

Monolithic L1 Counter-Attack

Monolithic chains like Solana and Sui are optimizing for raw hardware parallelism and localized fee markets, challenging the modular thesis. Their simplicity avoids the fragmentation risks entirely.

  • Native Composability: All contracts interact atomically within a single state machine.
  • Unified Security: One validator set secures all applications.
  • Compounding Optimizations: Innovations like Solana's Quic and Sui's Move object model improve without cross-chain coordination.
50K+
TPS Potential
1
Security Model
future-outlook
THE FUTURE OF EXECUTION

The Endgame: A Cambrian Explosion of Specialized Runtimes

The monolithic EVM will fragment into a landscape of purpose-built runtimes, each optimized for a specific computational domain.

Sealevel is the starting pistol. Solana's parallel execution model proves the performance gains of runtime specialization, but it remains a general-purpose VM. The next evolution is vertical integration of compute. Runtimes will be co-designed with the application, like a custom ASIC versus a generic CPU.

The EVM becomes a legacy compatibility layer. High-throughput DeFi will migrate to runtimes with native AMM opcodes and MEV-resistant ordering. Privacy applications require trusted execution environments (TEEs) or zk-circuits baked into the VM, as seen in Aztec and Aleo. This creates a multi-VM interoperability problem that protocols like LayerZero and IBC must solve.

Execution becomes a commodity, specialization is the moat. The value accrues to the runtime developers and the applications that define new computational primitives. We will see runtimes for AI inference, high-frequency trading, and fully on-chain games that are impossible on today's EVM or Sealevel.

takeaways
EXECUTION ENVIRONMENTS

TL;DR for Protocol Architects

Sealevel's parallel processing was a leap, but the next wave is about specialization, sovereignty, and shifting the security perimeter.

01

The Problem: Monolithic Chains Are Inefficient

General-purpose VMs force every app to compete for the same resources, leading to unpredictable costs and latency. The solution is application-specific execution layers.

  • Key Benefit: Deterministic performance and cost for your protocol.
  • Key Benefit: Custom fee markets and governance (e.g., dYdX v4, Aevo).
  • Key Benefit: Enables novel state models impossible on shared L1s.
-90%
Gas Variance
1000+ TPS
Guaranteed
02

The Solution: Sovereign Rollups & Alt VMs

Execution is decoupling from settlement. Sovereign rollups (e.g., Celestia, EigenDA) and alternative VMs (e.g., FuelVM, MoveVM, RISC Zero) redefine the stack.

  • Key Benefit: Choose your data availability and proof system independently.
  • Key Benefit: Leverage VM architectures optimized for DeFi (Sei V2), gaming, or privacy.
  • Key Benefit: Escape the gravitational pull of a single L1's political and technical roadmap.
$0.001
Per Tx Cost
~2s
Finality
03

The Frontier: Intent-Centric Architectures

The endgame isn't faster transaction processing, but eliminating transactions altogether. Systems like UniswapX, CowSwap, and Anoma shift execution to a network of solvers.

  • Key Benefit: Users express what they want, not how to do it.
  • Key Benefit: Solvers compete via MEV, often subsidizing or refunding user costs.
  • Key Benefit: Enables atomic cross-chain actions without user-signed bridging txs.
~100%
Fill Rate
Zero-Cost
Failed Txs
04

The Enabler: Parallel Execution is Table Stakes

Sealevel's real innovation was proving parallel execution works at scale. The next generation (Monad, Aptos, Sui) pushes this further with asynchronous calling and state access lists.

  • Key Benefit: Linear scaling with cores; 10k+ TPS on commodity hardware.
  • Key Benefit: Eliminates head-of-line blocking, the killer of L1 DeFi composability.
  • Key Benefit: Makes optimistic concurrency control a standard feature, not a research project.
10x
Throughput
-80%
Latency
05

The Risk: Fragmentation & Security Budgets

Every new execution environment fragments liquidity, security, and developer mindshare. Shared security models (EigenLayer, Babylon) and universal interoperability layers (LayerZero, IBC) are the necessary counter-trend.

  • Key Benefit: Bootstrap security from established validator sets.
  • Key Benefit: Maintain composability across heterogeneous execution zones.
  • Key Benefit: Prevent the ecosystem from collapsing into isolated app-chains.
$10B+
Security Pool
1-Click
Deploy
06

The Metric: Time-to-Finality, Not TPS

The industry's obsession with transactions-per-second is misguided. For real-world adoption, the critical metric is user-observable finality—the time until a user can trust a result.

  • Key Benefit: Focuses optimization on proof speed and data availability latency.
  • Key Benefit: Aligns with zk-rollup (e.g., zkSync, Starknet) and optimistic rollup (with fast dispute) roadmaps.
  • Key Benefit: Creates a tangible benchmark for cross-chain UX, forcing bridges like Across and Circle CCTP to improve.
< 1s
ZK Target
~5 min
Optimistic
ENQUIRY

Get In Touch
today.

Our experts will offer a free quote and a 30min call to discuss your project.

NDA Protected
24h Response
Directly to Engineering Team
10+
Protocols Shipped
$20M+
TVL Overall
NDA Protected Directly to Engineering Team
Solana's Sealevel is Dead. Long Live Sealevel. | ChainScore Blog