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News/Ethereum’s Fusaka Upgrade Resets the Network’s Scalability Baseline With Data-Sampling Architecture and Higher Block Capacity

Ethereum’s Fusaka Upgrade Resets the Network’s Scalability Baseline With Data-Sampling Architecture and Higher Block Capacity

Van Thanh Le

Dec 3 2025

yesterday4 minutes read
Robot using a precise sampler to take a small slice of a large data blob payload

Developers Push PeerDAS Into Mainnet to Cut Node Costs, Expand Blob Throughput, and Speed Up Layer-2 Settlement

TL;DR

  • Ethereum activated the Fusaka upgrade on Dec. 3, 2025, introducing PeerDAS to slash node load and expand data capacity for rollups.
  • Layer-2 teams expect 40–60% fee reductions as blob throughput scales through phased BPO forks.
  • The upgrade raises block gas limits and positions Ethereum for larger long-term throughput, boosting activity tied to crypto price index trends and coin market cap shifts.

Ethereum’s December 3, 2025 rollout of the Fusaka upgrade landed as a structural reset rather than another routine hard fork, reshaping bandwidth demands, blob handling, and validator behavior at a moment when rollups dominate on-chain activity. Developers executed the upgrade at slot 13,164,544 after months of coordinated testnet drills across Holesky, Sepolia, and Hoodi, completing the network’s second major code change of the year following Pectra. 

Fusaka combines two layers of improvements — “Fulu” on the consensus side and “Osaka” on the execution side — and developers framed the release as a foundational step in Ethereum’s transition toward a more modular, data-efficient architecture. The shift arrives as analysts monitor crypto price index movements and overall coin market cap distribution to gauge whether cheaper rollup settlements could influence user flow across Layer-2 ecosystems.

PeerDAS, short for Peer Data Availability Sampling, anchors the entire upgrade. The mechanism, introduced through EIP-7594, replaces Ethereum’s traditional requirement for nodes to fetch full blob data with a probabilistic sampling model that dramatically lowers storage and bandwidth needs. Validators now retrieve small, random slices of blob data rather than the entire payload, reducing requirements by up to roughly 85% while preserving the integrity guarantees that allow the network to reconstruct full data as long as at least half the blobs remain available. 

The model carries a failure probability so low — cited as between one in 10^20 and 10^24 — that developers described it as an acceptable statistical baseline for a global settlement layer. Cutting those hardware burdens is expected to expand the number of operators able to run full nodes, strengthening decentralization while supporting surging rollup traffic during periods of rising crypto price volatility.

The upgrade’s additional throughput enhancements are already drawing attention from Layer-2 teams that handle large transaction batches. Fusaka pushes Ethereum’s block gas limit from roughly 36 million to around 60 million units, a material jump that broadens the execution layer’s capacity to embed more complex transactions or handle bursts of contract activity without immediate congestion pressure. 

Combined with PeerDAS, the expanded throughput serves as the technical backbone for reducing rollup fees, with teams publicly estimating 40–60% lower user-side costs once blob supply ramps through Fusaka’s dual-phase expansion plan. Analysts tracking crypto price index fluctuations note that cheaper settlement costs often correlate with higher user migration to rollups, prompting speculation around how sustained throughput gains might influence market behavior across different Layer-2 ecosystems.

Fusaka’s deployment sets off a series of Blob-Parameter-Only (BPO) forks designed to gradually raise blob throughput rather than flood the network with an immediate surge in data load. The schedule places the first upgrade window around December 17, 2025, with blob target and maximum counts shifting upward from the initial 6/9 parameters to roughly 10/15. 

A second expansion is penciled in for January 7, 2026, pushing capacity further toward 14/21. Developers outlined up to five BPO stages in total, aiming to scale data availability smoothly while observing validator performance and network stability in real time. A note circulated by researcher Christine D. Kim during devnet testing observed that blob capacity more than doubled within two weeks under controlled conditions, a signal of how fast Ethereum could scale if mainnet behavior tracks similar patterns.

Market participants follow these changes closely because lower settlement friction has historically nudged both speculative and practical activity upward across Layer-2s, feeding into sector rotation patterns visible in broader crypto price and coin market cap data. Yet developers cautioned that Fusaka does not deliver instant sharding-level throughput; rather, it positions the network for the planned evolution toward danksharding and long-term targets in the 100,000-transactions-per-second range. 

The shift is still consequential for node runners, who now face lighter hardware loads and more predictable data obligations thanks to sampling-based bandwidth demands. Supporters frame this as a step toward a more inclusive validator base capable of sustaining Ethereum’s expanding role as a settlement layer for rollups, while skeptics note that real-world performance will depend on adoption and user behavior once lower fees materialize.

The broader narrative around Fusaka situates the upgrade within Ethereum’s multi-year march toward scaling rollup throughput without compromising decentralization. The combination of PeerDAS, broader blockspace, and staged blob growth nudges the network into a more efficient data regime just as competition among Layer-2 ecosystems intensifies. Whether these structural changes reshape activity levels — and how those shifts manifest in crypto price index patterns or sector-level coin market cap movements — will become clearer as the network progresses through its early BPO phases and rollups adjust to the new operating conditions.

This article has been refined and enhanced by ChatGPT.

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