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gaming-and-metaverse-the-next-billion-users
Blog

Why Solana's Speed is the Baseline, Not the Ceiling

Monolithic L1s like Solana set a performance floor. To onboard the next billion users, gaming appchains must exceed it by architecting for deterministic, high-frequency state updates, not general-purpose transactions.

introduction
THE BASELINE

Introduction

Solana's raw throughput is now the minimum viable spec for any new L1 or L2, forcing the ecosystem to compete on higher-order abstractions.

Solana is the benchmark. Its 65,000 TPS for simple transfers and sub-second finality set the new industry standard, making Ethereum's base layer performance look like a dial-up modem. This isn't about peak numbers; it's about consistently low-latency execution becoming a user expectation.

Speed is now a commodity. The real competition has shifted from raw hardware to developer experience and atomic composability. New chains like Monad and Sei v2 are competing directly on this frontier, while Solana's own state compression and local fee markets solve the next layer of bottlenecks.

The ceiling is user abstraction. Protocols that win will hide this speed behind intent-based systems. Jupiter's limit orders and Drift's perpetual swaps demonstrate that the fastest execution is worthless without the UX layer that makes it accessible and programmable.

thesis-statement
THE BASELINE

Thesis Statement

Solana's raw throughput is now the required entry ticket, not the ultimate competitive advantage.

Speed is now commoditized. Solana’s 65,000 TPS benchmark forces every new chain to compete on this axis, making high throughput a table-stakes requirement for any credible L1 or L2.

The ceiling is user experience. The next frontier is not raw transactions per second, but abstracting complexity through intent-based architectures like UniswapX and seamless interoperability via protocols like LayerZero.

Evidence: The market penalizes high-latency chains. Applications requiring sub-second finality, such as on-chain order books like Phoenix, cannot function without Solana's performance baseline.

WHY SOLANA'S SPEED IS THE BASELINE, NOT THE CEILING

Architectural Showdown: General-Purpose L1 vs. Gaming Appchain

Comparing core architectural trade-offs for high-throughput blockchain gaming, using Solana as the performance benchmark.

Architectural MetricGeneral-Purpose L1 (e.g., Solana)Sovereign Appchain (e.g., Eclipse, Caldera)Hybrid Rollup (e.g., Arbitrum Orbit, OP Stack)

Peak TPS (Theoretical)

65,000

Unbounded (Custom VM)

10,000 - 20,000

State Access Latency

< 400ms

< 100ms (Localized State)

~2 seconds (Provenance Delay)

Transaction Finality

~2.5 seconds

< 1 second

~1 min (L1 Finality)

Custom Fee Token

MEV Extraction Surface

Global (Jito)

Controlled (App-Specific)

Delegated (Sequencer)

Protocol Upgrade Lead Time

Months (Governance)

Days (Sovereign Team)

Weeks (L1 Dependency)

Ecosystem Composability Cost

Native (Zero Cost)

Bridged (Latency & Security Tax)

Bridged (Security Inherited)

deep-dive
THE ARCHITECTURE

Building Beyond the Baseline: The Appchain Toolkit

Solana's monolithic performance is a benchmark, but specialized appchains unlock superior economics and sovereignty for mature applications.

Solana is a performance baseline. Its 50k TPS and sub-second finality define the modern user experience standard. This monolithic model is optimal for bootstrapping and composability but imposes a uniform cost and governance model on all applications.

Appchains enable fee sovereignty. A dedicated chain like an Eclipse rollup or Celestia-powered L2 lets applications capture MEV, customize gas tokens, and implement proprietary fee markets. This transforms transaction fees from a cost center into a potential revenue stream and user acquisition tool.

Specialization beats generalization. A high-frequency DEX needs a mempool-free sequencer like Espresso Systems, while a social app prioritizes cheap data availability via Avail. A monolithic chain forces a one-size-fits-all resource model, creating inherent inefficiency for outlier applications.

Evidence: dYdX's migration from an L2 to a Cosmos appchain demonstrated the model's viability, granting the exchange full control over its order book mechanics and fee structure, a strategic impossibility on a shared L1.

protocol-spotlight
BEYOND SOLANA'S FLOOR

Protocol Spotlight: Who's Building the Ceiling?

Solana's ~400ms block time is now table stakes. The real innovation is in the protocols building new primitives on top of this speed.

01

Jupiter LFG Launchpad: The Meta-Aggregator

The Problem: Launching a token is a fragmented, high-friction event across DEXs, bonding curves, and liquidity pools.\nThe Solution: Jupiter aggregates the entire launch process into a single, liquid market. It uses a Request-for-Quote (RFQ) model where professional market makers compete to provide the best initial price, moving beyond simple AMM pools.\n- Key Benefit: ~$1B+ in total launch volume, creating instant, deep liquidity.\n- Key Benefit: Democratizes access via a unified interface, abstracting complexity.

$1B+
Launch Volume
Single UI
Unified Flow
02

Drift Protocol: Hyperliquid Perps

The Problem: Perpetuals DEXs are bottlenecked by on-chain settlement latency, limiting throughput and increasing slippage.\nThe Solution: Drift runs a high-frequency virtual AMM (vAMM) and off-chain orderbook, settling net positions on-chain in Solana's fast blocks. This hybrid model decouples trading speed from finality.\n- Key Benefit: Sub-second trade execution with ~$100M+ in open interest.\n- Key Benefit: Enables advanced order types (limit, stop-loss) typically reserved for CEXs.

Sub-second
Execution
$100M+
Open Interest
03

Tensor: NFT Liquidity as a Protocol

The Problem: NFT markets are illiquid, slow, and dominated by simplistic listing mechanics.\nThe Solution: Tensor built a liquidity protocol with automated market making for NFTs. Its Tensor Liquidity Pools (TLPs) allow passive liquidity provision, and its fast-listing SDK enables applications to list NFTs in ~2 clicks.\n- Key Benefit: >70% market share on Solana, driven by superior liquidity depth.\n- Key Benefit: Turns NFTs into a composable, yield-generating asset class.

>70%
Market Share
2 Clicks
Fast List
04

Kamino Finance: Concentrated Leverage Vaults

The Problem: DeFi yield strategies are manual, capital-inefficient, and lack risk isolation.\nThe Solution: Kamino creates automated, leveraged vaults that dynamically manage concentrated liquidity positions on Orca and Raydium. It abstracts the complexity of rebalancing, compounding, and hedging.\n- Key Benefit: Auto-compounds yields and manages position ranges, maximizing fee capture.\n- Key Benefit: ~$500M+ in TVL demonstrates demand for structured, passive yield products.

Auto-Compound
Strategy
$500M+
Peak TVL
counter-argument
THE NETWORK EFFECT

Counter-Argument: The Liquidity & Composability Trap

Solana's raw throughput is a commodity; the real moat is the liquidity and developer activity it has already captured.

Solana's speed is a commodity. New L1s like Monad and Sei achieve comparable throughput. The true competitive advantage is the existing ecosystem of applications, users, and capital that cannot be instantly replicated.

Liquidity fragmentation kills composability. A new chain with 100k TPS but empty DeFi pools is useless. The composability trap means developers build where the users and liquidity already are, creating a self-reinforcing loop that favors incumbents.

Ethereum's L2s demonstrate this. Arbitrum and Optimism succeed because they inherit Ethereum's security and liquidity via native bridges. A new sovereign chain must bootstrap both from zero, a problem projects like Celestia aim to solve but haven't yet at scale.

Evidence: Total Value Locked (TVL). Solana's ~$4B TVL and daily DEX volume exceeding $2B represent a liquidity moat. A new chain needs years of incentive programs to attract a fraction of this capital, as seen with Avalanche and Fantom's costly campaigns.

FREQUENTLY ASKED QUESTIONS

FAQ: Gaming Appchains for Builders

Common questions about why Solana's performance is the starting point, not the ultimate goal, for game developers.

Solana's ~400ms block time is too slow for real-time, sub-100ms game loops required for competitive titles. While excellent for DeFi, gaming needs deterministic, frame-perfect execution that only dedicated appchains or parallelized VMs like Eclipse or Monad can provide.

takeaways
WHY SOLANA'S SPEED IS THE BASELINE, NOT THE CEILING

Takeaways: The New Performance Playbook

Raw throughput is now a commodity; the next frontier is architecting systems that leverage it for novel user experiences and economic models.

01

The Problem: Blockchains as Bottlenecks

Traditional L1/L2 design treats the chain as the single source of truth for every state update, creating inherent latency and cost ceilings. This makes real-time applications like on-chain gaming or high-frequency trading structurally impossible.

  • Latency Floor: Even 400ms blocks create a ~2-second user-perceived delay.
  • Cost Ceiling: Every action, even a simple game move, must outbid global DeFi arbitrage.
  • Architectural Lock-in: Apps are forced into a request-response model dictated by block times.
~2s
Perceived Latency
100%
On-Chain Burden
02

The Solution: Local First, Settle Later

Adopt the pattern of Solana GameShift, Clockwork, and Helius: perform computations and state updates off-chain in a verifiable environment, using the L1 only for final settlement and censorship resistance.

  • Sub-100ms UX: Game state updates happen client-side; the chain sees only batched proofs.
  • Costs → ~$0: Users pay only for periodic settlement, not per interaction.
  • Enables New Primitives: Real-time order books, MMO economies, and interactive NFTs become viable.
<100ms
Client Latency
~$0
Marginal Cost
03

The Problem: Synchronous Composability is a Trap

The holy grail of atomic, synchronous composability (e.g., one tx through multiple DeFi protocols) forces serial execution, capping throughput and increasing fee volatility. It's a bottleneck masquerading as a feature.

  • Throughput Cap: Each protocol in a sequence must be processed serially within a single block.
  • MEV Amplification: Complex routes are juicy targets for generalized frontrunners.
  • Fragile UX: One congested protocol fails the entire user transaction.
Serial
Execution
High
MEV Surface
04

The Solution: Asynchronous Intents & Solvers

Embrace the UniswapX, CowSwap, and Jito model. Users submit declarative intents ("I want this token for that token"), and a competitive network of solvers fulfills them off-chain, settling optimally on-chain. This turns composability from a technical constraint into a market.

  • Parallel Throughput: Solvers process intents concurrently, unbounded by block space.
  • Better Execution: Solvers compete on price, often providing ~5-30 bps better rates than public mempools.
  • MEV Capture for Users: Auction mechanics redirect extractable value back to the intent submitter.
Parallel
Execution
+30 bps
Improved Price
05

The Problem: Monolithic State is a Scaling Dead End

Storing all application state in a single global database (the blockchain) forces every node to validate everything. This creates a ~50 TB/year data growth problem and makes light clients impractical for complex states.

  • Hardware Centralization: Validator requirements skyrocket, reducing decentralization.
  • Slow Sync Times: New nodes take weeks to sync, harming network resilience.
  • Inefficient Access: Apps pay to read/write global state they don't need.
50 TB/yr
State Growth
Weeks
Sync Time
06

The Solution: Modular State & Light Clients

Architect with Eclipse, Celestia, and Solana Light Protocol. Push application-specific state and execution to dedicated layers (sovereign rollups, SVM rollups) and use the base layer for security and consensus. Light clients verify proofs of relevant state, not the entire chain.

  • Horizontal Scaling: Each app-chain or rollup adds independent throughput.
  • Instant Sync: Light clients verify state in seconds via cryptographic proofs.
  • Sustainable Decentralization: Base layer validators only process compact proofs, not full state.
Independent
Throughput
Seconds
Client Verify
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Gaming Appchains Must Outrun Solana's Speed | ChainScore Blog