Ethereum Foundation (EF) Co-Executive Director Tomasz K. Stańczak took to X today to reiterate the critical importance of the Ethereum (ETH) network’s Fusaka upgrade, which is scheduled to go live in Q4 2025. Stańczak urged the community to focus on avoiding any delays to this key upgrade.
In a post on X published today, Stańczak shared his views on the smart contract platform’s Fusaka upgrade, emphasizing the need for Ethereum developers to prioritize this upgrade over the upcoming Glamsterdam hard fork, which is expected to launch in Q1 or Q2 of 2026.
Stańczak mentioned that he had advised project coordinators to temporarily pause discussions around the Glamsterdam upgrade and focus exclusively on ensuring the timely delivery of Fusaka. He stated:
As I have said many times, no amount of talking about Ethereum’s roadmap and vision matters if we cannot achieve coordination levels that consistently meet goals on schedule. I know that some extremely talented people are now working on resolving the issues that caused teams to suggest moving the dates. I would love to see a broad agreement that the timelines matter a lot. A lot.
The Fusaka upgrade combines two major upgrades – Fulu (consensus layer) and Osaka (execution layer). It will introduce 11 new Ethereum Improvement Proposals (EIPs), Peer-to-Peer Data Availability Sampling (PeerDAS), and Verkle Trees.
One of the key EIPs, EIP-7825, aims to enhance the Ethereum network’s resilience to attacks by introducing a transaction gas limit cap of 16,777,216 units. This will help mitigate spam and safeguard nodes from targeted attacks.
PeerDAS enables network participants to efficiently verify shard data availability without downloading the entire data set, significantly improving scalability. This mechanism helps keep the network’s sharded blockchain secure and decentralized by preventing data withholding attacks while reducing the resource demands on individual nodes.
Meanwhile, Verkle Trees are an advanced type of cryptographic data structure that improve the efficiency of storing and verifying large amounts of data compared to traditional Merkle trees. They will enable ETH nodes to prove and verify state data with much smaller proofs, reducing storage requirements and speeding up sync times.
