TLDR
Fusaka is an Ethereum upgrade that makes Layer 2s (rollups) cheaper and higher?throughput while changing how they pay L1 for data.
- PeerDAS cuts per?node load and raises blob throughput, lowering L2 data fees by roughly 4060% per an explainer.
- Blob capacity grows via BPO forks, with the cap expected to reach 14 blobs per block on 7 Jan 2026, per a report.
- EIP?7918 introduces a protocol?level minimum fee for L2 data tied to L1 gas, boosting ETH fee burn per an analysis.
Deep Dive
1. Cheaper L2 Data
Peer Data Availability Sampling (PeerDAS) lets nodes verify rollup blob data by sampling instead of downloading everything. This reduces bandwidth and increases safe blob throughput, which is the main driver of cheaper L2 posting costs for batches. Estimates suggest L2 data fees could fall by about 4060% as PeerDAS rolls out and capacity is raised, improving user costs and L2 margins, per an explainer. Broader coverage also notes faster, cheaper rollup operations from these changes in a market update.
L2 transactions should trend less expensive as data availability scales, improving UX and making more data?heavy apps viable on rollups.
2. More Capacity, Faster Iteration
Fusaka enables Blob Parameter Only (BPO) forks so Ethereum can ratchet up blob capacity in small, frequent steps rather than big, infrequent hard forks. The roadmap expects the blob cap to reach 14 per block on 7 Jan 2026, with further increases staged afterward, per a report. Complementary limits like a 10 MB block size cap and per?transaction gas caps keep blocks from stalling while still lifting practical throughput for L2 data, per the explainer.
L2s can plan for steady capacity hikes rather than uncertain big?bang upgrades, aligning infra and fee trajectories with predictable milestones.
3. New Fee Economics and ETH Burn
EIP?7918 introduces a minimum fee for L2s to publish data to Ethereum, tying costs to mainnet gas and channeling more of that spending into ETH burn under the EIP?1559 framework. That makes L2 activity a more direct source of ETH value capture, per an analysis and commentary that the upgrade could 510x L1 revenue capture from L2 data in aggregate as volumes scale, per a market commentary.
L2s gain clearer, more predictable base costs tied to L1 conditions, and ETH holders benefit as scaled L2 usage burns more ETH over time.
Conclusion
Fusaka restructures L2s core constraint (data availability) and their cost model. PeerDAS and staged blob increases push fees down and throughput up, while a minimum L2 data fee ties rollup economics to Ethereums base layer. Net effect: cheaper L2 transactions, higher L2 capacity, and stronger ETH value capture as rollup activity grows into early 2026.
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