Aptos Unveils Velociraptr Upgrade to Cut Block Time by 40%

Aptos Labs has confirmed its large-scale consensus update Velociraptr (AIP 131). The new mechanism brings out the new “Optimistic Proposals that aim to make block production both quicker and more efficient throughout the network. Assuming it is successful, it will be capable of cutting the block time of Aptos by up to 40 percent, cementing its position as one of the fastest Layer 1 blockchains.

What Velociraptr Brings

Velociraptr belongs to the current activity of Aptos concerning the improvement of scalability and performance. The faster block time makes transaction verifications, which directly affect the user experience of the decentralized applications (dApps). In the case of DeFi platforms, the faster the execution the less slippage and arbitrage risk.

Aptos already has parallel execution in the form of Block-STM engine, which enables the network to execute a number of transactions in parallel. A combination of Block-STM and faster block proposals of Velociraptr may take the Aptos transactions per second (TPS) capacity beyond its current record of 160,000 TPS.

Technical Environment and Market Environment

Velociraptr is indicative of Aptos of seeking to establish itself as a high-performance network against Solana, Sui. The other Layer 1 networks also that focus on speed and scale. Velociraptor is projected to be a turning point of the ecosystem of the chain by Aptos team. In case it works, it would be able to not only improve the performance of dApps but also attract a new audience of developers and users who want fast performance without losing the decentralization aspect.

With blockchain networks competing to create a balance between scalability and security, the bet made by Aptos regarding speed using Velociraptr can be a worthy differentiator.

Deployment Schedule and Roadmap

Rolling out Velociraptr by Aptos Labs will be in stages. It will be launched in September 2025 and it will be fully deployed in October. This slow implementation allows time to upgrade nodes and adjust among validators. It also enables the team to test stability, address bugs before the upgrade goes live within the network. The validators in fact should keep in pace with the process. Any error would have short-term failures in consensus. Aptos Labs claims that it will collaborate with operators to facilitate a transition.