- Ethereum developers test Fusaka upgrade with PeerDAS methodology.
- Mainnet launch is planned for December 3, 2025.
- Lower data processing costs anticipated for institutional users.
Ethereum developers, led by Tim Beiko and Danny Ryan, initiated a second test of the Fusaka upgrade on the Sepolia testnet on Tuesday, planning the mainnet activation soon.
Fusaka introduces PeerDAS, expected to reduce Ethereum’s costs and bandwidth, potentially increasing market activity and benefitting Layer 2 networks and institutional users.
Sepolia Test Advances Fusaka Upgrade Milestones
Ethereum’s second Fusaka test on the Sepolia testnet follows a Holesky trial. This strategic action signals intent to reduce bandwidth needs. A final rehearsal on the Hoodi testnet is set for late October, cementing mainnet plans.
The Fusaka rollout introduces PeerDAS technology, enhancing efficiency for Ethereum validators who will process fewer data segments. This change could benefit institutional users confronting high bandwidth costs, leading to greater Layer 2 adoption.
“Fusaka’s PeerDAS will dramatically lower validator resource requirements and make Ethereum rollups more affordable. We are on track for mainnet launch December 3, pending Hoodi testnet results.” — Tim Beiko, Protocol Support, Ethereum Foundation
Price Trends Amid Ethereum’s 2025 Development Goals
Did you know? Previous Ethereum upgrades, like Dencun and Pectra, led to significant reductions in transaction fees and increased network utilization, setting expectations for Fusaka’s impact on Layer 2 scalability.
According to CoinMarketCap, Ethereum’s (ETH) price stands at $3,999.79 with a market cap of $482.77 billion and dominance of 12.74%. The 24-hour trading volume is reported as $55.71 billion, marking an 8.81% drop. Notably, ETH has decreased by 3.76% over the last 24 hours and 14.49% over the past week, despite showing a 26.36% increase over 90 days.
The Coincu research team suggests that if Fusaka succeeds, Ethereum could see lower operating costs, promoting more robust institutional participation. Improved data processing could enhance scalability, fostering greater ecosystem efficiency.
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