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Home/Markets/Solana Launches Testing for Alpenglow Consensus Overhaul
VERIFIEDBy Xavier Rivera· ·1 min read

Solana Launches Testing for Alpenglow Consensus Overhaul

Solana developer Anza has taken Alpenglow live for testing on a community test cluster, marking the biggest proposed consensus overhaul to date. The new architecture is intended to reduce finality times and improve network responsiveness as it advances toward a potential mainnet rollout.

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Solana Launches Testing for Alpenglow Consensus Overhaul
TL;DRAI · 60 sec read

Solana launches testing of Alpenglow, its largest consensus overhaul, on a community test cluster for validators ahead of mainnet. The upgrade replaces Proof-of-Stake, TowerBFT, and Proof-of-History—which enable high throughput and low fees but cause outages under heavy demand—with a new system that cuts finality times and boosts responsiveness.

Solana's biggest consensus overhaul to date has begun testing on a community test cluster. The upgrade known as Alpenglow is now available for validator operators to try ahead of a possible mainnet deployment.

Anza, a Solana developer, made the announcement on X. The developer wrote, “Alpenglow is live on the community test cluster.” Anza added that it is “The biggest consensus change in Solana’s history, now running on validator infrastructure ahead of mainnet.”

Alpenglow represents the largest proposed change to the network's consensus mechanism so far. It marks a major step toward a potential mainnet rollout.
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The new software aims to move the blockchain away from its existing combination of Proof-of-Stake, TowerBFT and Proof-of-History. The goal is a new architecture that will dramatically reduce finality times and improve network responsiveness.

Under the present system, Proof-of-History functions as a cryptographic clock that timestamps transactions. TowerBFT serves as the voting mechanism that validators use to agree on the state of the blockchain.
This setup has allowed for high throughput and low fees on Solana. However, it has also been associated with outages and network instability during periods of heavy demand.
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