Paradigm Audits evm2 Implementation to Double EVM Speed
The audited software now includes a just-in-time compiler, offering developers greater flexibility for custom configurations.
Updated on Oct. 25, 2026 in Quantum Computing
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Paradigm has completed a security audit of its evm2 software implementation, an Ethereum Virtual Machine designed for its internal technology stack. The codebase, which includes a built-in just-in-time compiler, is now publicly available on GitHub.
Why it matters
The implementation allows developers to customize opcodes, gas rules, and transaction types without modifying core code, accelerating the development cycle for projects using the Paradigm stack.
The evm2 implementation executes up to two times faster than the revm baseline. This performance gain is achieved through a newly integrated just-in-time compiler that generates machine code during execution.
The players
Paradigm
An investment and technology firm focused on the crypto-asset and blockchain infrastructure sector, known for developing the Reth execution client and Foundry toolkit.
The details
Developers can extend the virtual machine by defining custom opcodes—operation codes that instruct the processor on specific tasks—and modifying gas rules or transaction types. By utilizing a modular architecture, the implementation avoids the need to fork or alter core code when integrating new features. Paradigm designed the software specifically for use within its Foundry, Reth, and Tempo development environments.
Timeline
October 25, 2026: Paradigm CTO announced the completion of the evm2 audit.
The Tech Race
Paradigm is moving to consolidate its development stack by providing a more performant alternative to existing Ethereum Virtual Machine implementations. This shift positions the firm to lower overhead for teams building on Reth and Foundry while maintaining strict compatibility standards.
Developers working within the Foundry, Reth, or Tempo ecosystems can access the code today on GitHub to begin testing custom gas rules and opcodes. While the implementation is audited, users should account for the integration requirements within their existing project workflows.
The takeaway
The move enables more flexible, high-speed blockchain development by shifting from rigid core code to modular, compiler-assisted execution. Interested engineers should track further documentation updates and performance benchmarks as the codebase sees integration into production-grade projects.
Further reading
For broader trends in high-performance virtual machine architecture, visit our Quantum Computing section.
Source note: This article includes information reported by TokenPost.
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