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
zk-rollups-the-endgame-for-scaling
Blog

The Battle Between Open Source and Proprietary Prover Software

An analysis of the core strategic dilemma facing ZK-rollup teams: open sourcing prover software for ecosystem growth versus keeping it proprietary for competitive moats, and how this choice defines the scaling endgame.

introduction
THE NEW MOAT

Introduction: The Prover is the Product

The competitive edge in modern blockchain infrastructure has shifted from consensus to computation, making the prover the core commercial asset.

The prover is the product. Modular blockchains separate execution from settlement, outsourcing state validation to specialized proving networks. This transforms the prover from a public good into a proprietary, monetizable software stack that dictates network security and profitability.

Open-source provers create commodity hardware. Projects like RISC Zero and SP1 provide generalized, transparent proving frameworks. This fosters ecosystem interoperability but leads to thin margins, as seen in the competitive landscape of Ethereum L2 rollups like Arbitrum and Optimism.

Proprietary provers capture value. Closed-source stacks, exemplified by zkSync's Boojum and Polygon's Plonky2, create technical moats. These systems optimize for specific use cases—like parallel execution or privacy—enabling premium pricing and locking in developer ecosystems.

Evidence: The proving market will exceed $10B in annual revenue by 2030. The performance gap between a generic STARK prover and a custom ASIC-optimized one is over 1000x in cost efficiency, defining winner-take-most dynamics.

OPEN SOURCE VS. PROPRIETARY

Prover Strategy Matrix: Who's Playing Which Game?

A comparison of strategic approaches to prover software, analyzing trade-offs in performance, control, and ecosystem dynamics.

Strategic DimensionOpen Source (e.g., RISC Zero, SP1)Proprietary (e.g., Polygon zkEVM, zkSync)Hybrid / Dual-License (e.g., StarkWare)

Core Software License

Apache 2.0 / MIT

Closed Source

Proprietary + eventual open source

Prover Performance (Proving Time)

Community-optimized

Vendor-optimized

Vendor-optimized

Hardware Acceleration Strategy

Open ecosystem (GPUs, FPGAs)

Vendor-controlled (e.g., custom ASICs)

Vendor-led, ecosystem-following

Protocol Revenue Model

None (public good)

Sequencer fees / take rate

License fees + eventual protocol fees

Ecosystem Lock-in Risk

None

High

Medium (diminishing over time)

Prover Diversity & Censorship Resistance

High (multiple implementations)

Low (single implementation)

Low → Medium (over time)

Time-to-Market for New L2s

< 1 month (forkable)

6 months (partnership)

Varies (license negotiation)

Security Audit Surface

Public, continuous scrutiny

Private, staged disclosures

Initially private, then public

deep-dive
THE PROVER WARS

The Open Source Gambit: Ecosystem Flywheel vs. Commoditization

The strategic calculus of open-sourcing prover software determines whether a project builds a defensible ecosystem or accelerates its own commoditization.

Open source is a trap for projects without a robust execution layer. Releasing a prover like Jolt or SP1 creates a public good that competitors like Polygon, Arbitrum, and Optimism immediately fork. This accelerates the commoditization of proving itself, turning a core innovation into a cheap utility.

The flywheel requires control. Successful projects like StarkWare and zkSync use proprietary provers to anchor their ecosystems. This creates a vendor lock-in effect where developers build on a specific ZKVM stack, ensuring long-term revenue from sequencer fees and proving services.

The counter-strategy is standardization. Projects like RISC Zero and Succinct bet that an open, modular stack will win. They aim to become the Linux kernel for ZK, where ecosystem growth around a shared standard (e.g., RISC-V) outweighs the value of any single execution layer.

Evidence: The rapid forking of the Apache-licensed OP Stack demonstrates commoditization risk, while StarkWare's closed Cairo prover has secured a $8B ecosystem. The winner defines whether the prover is the product or the platform.

counter-argument
THE INCENTIVE MISMATCH

The Proprietary Fortress: Moats, Margins, and Centralization

Proprietary prover software creates financial moats that directly conflict with the decentralized ethos of the underlying L2s they secure.

Proprietary provers are rent-extractive. They create a closed-source monopoly on the critical proving function, allowing the vendor to capture the majority of L2 sequencer profits. This centralizes economic power and creates a single point of failure, as seen with early zkSync Era and Polygon zkEVM relying on centralized proving services.

Open-source stacks commoditize hardware, not software. Projects like Risc Zero and SP1 provide verifiable compute frameworks where the competitive moat shifts to hardware optimization and operational scale. This mirrors the Ethereum execution client landscape, where multiple clients (Geth, Nethermind) compete on performance.

The long-term trade-off is security for margin. A proprietary prover's code cannot be fully audited by the public, creating systemic risk for the L2's billions in TVL. The vendor's incentive to protect its margins will always conflict with the network's need for verifiable, trust-minimized security.

Evidence: The proving cost for a large zk-rollup batch is ~$0.20-$0.50. A proprietary service charges sequencers 10-100x this cost, extracting millions annually. This model is unsustainable against open-source alternatives like gnark or Halo2 libraries, which enable permissionless prover networks.

risk-analysis
THE PROVER SOFTWARE WARS

The Bear Cases: What Could Go Wrong?

The race for high-performance ZK proving is creating a critical, under-discussed fault line between open-source and proprietary software stacks.

01

The Proprietary Black Box

Proprietary provers from firms like RiscZero or Miden create a single point of failure and trust. The core proving algorithm is a secret sauce, making security audits impossible and creating vendor lock-in for the entire L2.

  • Security Risk: Unauditable code is a prime target for sophisticated attacks.
  • Centralization Vector: The prover operator becomes a de facto centralized authority.
  • Innovation Stifling: The ecosystem cannot fork or improve upon the core proving technology.
0
Auditable Code
1
Critical Vendor
02

The Open-Source Commoditization Trap

Fully open-source prover stacks like those from gnark or Halo2 risk becoming low-margin commodities. Without a moat, the primary differentiator becomes cost, leading to a race-to-the-bottom that starves R&D funding.

  • R&D Underfunding: No sustainable business model to fund the next generation of proof systems.
  • Fragmentation: Multiple incompatible forks dilute developer mindshare and tooling.
  • Performance Lag: May lose the performance war against well-funded proprietary labs focused solely on optimization.
-90%
Margin Compression
10+
Competing Forks
03

The Licensing Minefield

Hybrid models with open-source cores but proprietary accelerators (e.g., Polygon zkEVM) create legal and operational complexity. Projects face uncertainty over future licensing changes or royalty demands that could cripple economic viability.

  • License Risk: A change from Apache 2.0 to a commercial license can strand billion-dollar L2s.
  • Integration Hell: Combining GPL, MIT, and proprietary code creates legal compliance nightmares.
  • Community Distrust: Perceived bait-and-switch tactics erode developer and user confidence.
High
Legal Overhead
$1B+
TVL at Risk
04

The Hardware Dependency Spiral

The pursuit of ultimate proving speed leads to custom hardware (ASICs, FPGAs), controlled by a handful of entities like Ingonyama or Cysic. This recentralizes power to those who control the physical means of production, recreating the miner centralization problem from PoW.

  • Capital Barrier: $10M+ ASIC tape-out costs exclude all but VC-backed players.
  • Geopolitical Risk: Hardware manufacturing is concentrated in specific regions, creating supply chain vulnerabilities.
  • Protocol Capture: Future protocol upgrades could be held hostage by hardware oligopolies.
$10M+
ASIC Cost
3-5
Dominant Firms
future-outlook
THE PROVER WAR

The Hybrid Future and the Hardware Endgame

The race for zkVM dominance will bifurcate into open-source software for general-purpose chains and proprietary hardware for specialized, high-throughput applications.

Proprietary software creates moats. Projects like Polygon zkEVM and zkSync Era use custom provers to optimize for their specific VM architecture, creating a defensible technical advantage. This mirrors the early GPU wars where NVIDIA's CUDA ecosystem locked in developers.

Open-source commoditizes the base layer. Frameworks like RISC Zero and SP1 provide a verifiable compute standard, allowing any chain to build a zkVM without deep cryptography expertise. This democratizes access but sacrifices peak performance.

The endgame is hardware acceleration. The proving bottleneck shifts from algorithm design to raw compute. Specialized ASICs, like those from Ingonyama, will dominate high-frequency trading and social-fi applications requiring sub-second proofs.

Evidence: Polygon's zkEVM prover generates a proof in under 10 minutes on consumer hardware, but a custom FPGA cluster from Ulvetanna reduces this to seconds. The performance delta dictates the market segment.

takeaways
PROVER SOFTWARE STRATEGY

TL;DR for Protocol Architects

The prover stack is the new moat; choosing between open-source and proprietary models defines your protocol's security, cost, and control.

01

The Open-Source Playbook (e.g., RISC Zero, SP1)

Commoditizes the proving layer to foster ecosystem growth and security through auditability.\n- Key Benefit: Eliminates vendor lock-in, enabling permissionless innovation on the proving primitive.\n- Key Benefit: Security is crowd-sourced; vulnerabilities are found and patched faster by a global community.

100%
Auditable
0
License Fees
02

The Proprietary Moats (e.g., Polygon zkEVM, zkSync)

Treats the prover as core IP to control the roadmap, optimize performance, and capture value.\n- Key Benefit: Enables deep, vertical integration for ~50% better prover efficiency and faster time-to-market for new features.\n- Key Benefit: Creates a sustainable business model, funding R&D without relying solely on token emissions.

~50%
Efficiency Gain
Full
Roadmap Control
03

The Hybrid Hedge (e.g., StarkWare, Aztec)

Open-sources components (e.g., Cairo, Noir) while keeping the prover runtime closed. Balances ecosystem development with competitive advantage.\n- Key Benefit: Builds a developer ecosystem with open tools while retaining the performance edge of a closed, optimized proving service.\n- Key Benefit: Mitigates fork risk; the community can audit the language, but cannot easily replicate the full stack.

Controlled
Ecosystem
Protected
Core IP
04

The Forkability Problem

Fully open-source provers are inherently forkable, threatening long-term fee capture and sustainability.\n- Key Problem: A competitor can clone your entire stack, undercut fees, and fragment liquidity. See the EVM L2 wars.\n- The Solution: Layer value capture above the prover via sequencers, shared security, or application-specific hooks that are harder to replicate.

High
Fork Risk
Sequencer
Real Moat
05

The Performance Arbitrage

Proprietary provers can achieve 2-5x faster proving times through custom hardware (GPU/FPGA) and undisclosed optimizations.\n- Key Problem: Open-source projects lag in raw performance, ceding the high-throughput, low-latency market (e.g., gaming, CEX matching engines).\n- The Solution: Open-source communities must attract capital to fund equivalent hardware R&D, a significant coordination challenge.

2-5x
Speed Edge
Hardware
Key Lever
06

The Security Audibility Tax

Closed-source provers impose a 'trust tax'; users must trust the operator's security claims without full verification.\n- Key Problem: Opaque code increases systemic risk and limits adoption by institutions requiring provable security.\n- The Solution: Proprietary teams must invest heavily in third-party audits and bug bounties, but this remains inferior to continuous public scrutiny.

High
Trust Assumption
Audit Cost
Overhead
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