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7 October, 2026 / News / AI / Tags: monomove, aptos, execution, decibeltrade, times

Aptos Labs has proposed MonoMove, a redesigned Move virtual machine and execution stack that delivered substantial speed gains in internal tests using real DecibelTrade transactions, with mainnet deployment eyed for 2027
Aptos Labs has announced MonoMove, a comprehensive redesign of its Move virtual machine and the surrounding execution stack. The upgrade aims to accelerate smart contract processing for on-chain financial applications, according to details shared by the company in a series of posts on October 6, 2026.
Internal benchmarks conducted by replaying actual mainnet transactions from DecibelTrade, an on-chain trading platform, produced notable improvements in execution speed for specific operations. Collateral withdrawals ran up to 55 times faster than on the current virtual machine. Vault requests improved by as much as 40 times, perpetual market requests by up to 38 times, and order placements by up to 22 times.
Separate internal simulations of complex financial workloads, including order-book trading, lending protocols and payment flows, showed end-to-end throughput gains of up to 11 times compared with the existing engine. Those tests did not incorporate additional optimizations or Aptos’s Block-STM parallel execution technique. Some broader workload measurements indicated gains in the range of three to eight times.
MonoMove is described as a full rebuild rather than an incremental update to the existing Move virtual machine. The redesign prioritizes both single-thread performance and the foundation for greater parallelism. It retains the Move language’s established rules for creating, copying and transferring digital assets while adding redundant runtime checks intended to catch potential errors in the verifier or virtual machine before they affect transaction outcomes.
Aptos Labs is conducting differential testing by running identical workloads through both MonoMove and the current execution engine and comparing the results. Formal verification of critical components is also planned as development progresses.
Ching further noted that production workloads on DecibelTrade performed nearly 10 times faster under MonoMove, while certain Move micro-benchmarks recorded improvements exceeding 50 times. He stated that the architecture was developed with safety and formal verification as core principles.
The company emphasized that the reported gains apply specifically to contract execution and may not translate one-for-one into higher overall network capacity. As execution speed increases, storage is expected to emerge as a more prominent performance constraint. Consequently, faster smart-contract processing will not automatically produce equivalent advances in total transaction volume supported by the system.
MonoMove is intended to support financial applications such as vaults, lending platforms, payment systems and on-chain markets. Aptos Labs positioned the upgrade as its largest scalability improvement since mainnet launch, designed to meet the demands of institutional trading, clearing and settlement activity that requires sustained throughput and continuous market data.
Feature completeness for MonoMove is targeted by the end of 2026. Mainnet deployment is planned for 2027 and remains subject to an Aptos community governance vote. No specific dates for the proposal or activation have been announced. Until those steps are completed, all performance data remains limited to Aptos’s internal testing environment.
The proposal arrives as Aptos continues work on infrastructure supporting payments, stablecoins and related financial use cases. The network recently surpassed 4.5 billion total transactions.
| Transaction Type | Reported Execution Speed Gain |
|---|---|
| Collateral Withdrawals | Up to 55x |
| Vault Requests | Up to 40x |
| Perpetual Market Requests | Up to 38x |
| Order Placement | Up to 22x |
Independent validation and mainnet performance measurements will be required before the full impact of the upgrade can be assessed under live network conditions.









