TLDR
Fusaka is an Ethereum hard fork that expands data capacity for Layer 2s, lifts practical throughput on Layer 1, and introduces fee?economy tweaks that may increase ETH value capture.
- L2 scaling: PeerDAS improves rollup data availability and enables larger, incremental blob capacity increases explained here.
- Throughput: the mainnet block gas limit has been raised to 60 million ahead of Fusaka, increasing execution capacity per block per this report.
- ETH economics: analysts expect a protocol minimum fee for L2 data posts, boosting ETH fee capture and burn over time as discussed.
Deep Dive
1. L2 Data Plane
Fusaka targets the data bottleneck for rollups. It introduces Peer Data Availability Sampling (PeerDAS), letting nodes verify blob data by sampling rather than downloading all of it, which cuts bandwidth and enables higher L2 throughput. It also adds Blob Parameter Only forks that can raise blob capacity in small, frequent steps without a full hard fork explained here.
Analysts estimate that Fusaka plus the first BPO fork could cut L2 data costs by roughly 40% to 60%, and a staged schedule is expected to lift the per?block blob cap after mainnet activation explained here. A separate preview notes a phased increase beyond todays six blobs per block to avoid congestion, with activation set for early December noted here.
L2 transactions should get cheaper and more consistent. Watch posted data costs on major rollups and any announced blob cap increments.
2. Gas Limit and Throughput
Validators have already lifted Ethereums block gas limit from 45 million to 60 million, the highest in four years, which increases the number of transactions and contract calls that fit in each block reported here. That validator?led increase aligns with Fusakas goal to safely raise capacity while pairing it with guardrails and repricing to keep blocks efficient outlined here.
Fusaka bundles additional safeguards and EIP?level changes that balance more capacity with stability and sync efficiency, so the aggregate effect is higher practical throughput without sacrificing safety margins explained here.
Expect more headroom for busy periods on L1. Monitor mempool congestion and average gas price to see if effective throughput gains persist.
3. Fee Economics and ETH Burn
Several researchers and market participants frame Fusaka as a step toward stronger ETH value capture. One widely cited view is that the upgrade will enforce a protocol?level minimum fee for L2 batches posted to mainnet, tying costs more directly to L1 gas and increasing the portion of fees that are paid in ETH and burned under EIP?1559 %%CKPROTECTED0%%. A separate analysis argues this could materially raise ETH revenue over time as L2 throughput scales, although the precise magnitude depends on parameters and actual usage covered here.
Since PeerDAS and blob expansions reduce L2 operating friction while the minimum fee increases ETH capture on L1, the combined effect could be lower user costs with more ETH burned during high activity periods explained here.
If L2 activity grows, ETH burn could trend higher. Track L2 data posting costs and post?upgrade burn metrics to gauge the structural impact.
Conclusion
Fusaka focuses on scaling Ethereums data layer for rollups while lifting base?layer capacity and aligning fee mechanics with ETH value capture. If blob capacity steps proceed smoothly and L2 usage rises, users should see lower L2 fees and steadier throughput, with a potential tailwind to ETH burn and fee revenue over time.
