TLDR
Ethereum (ETH) changed blob handling in the Fusaka upgrade by adding PeerDAS sampling, scheduling gradual increases in blob capacity, and introducing a floor for blob fees to stabilize costs and burn. PeerDAS enables roughly 8x higher blob throughput by letting nodes sample parts of blob data rather than download everything, per an Ethereum foundation thread.
- PeerDAS lets nodes verify small slices of blob data, cutting duplication and enabling much higher capacity. See the Ethereum thread.
- Blob capacity rises via BPOs: 10/15 on 9 Dec and 14/21 on 7 Jan 2026 from the Ethereum thread.
- Blob base fee is now bounded by L1 execution costs, reducing near?zero blob fees and improving predictability per the Ethereum thread.
Deep Dive
1. PeerDAS Sampling
PeerDAS (EIP?7594) changes the core data availability workflow by allowing nodes to sample a fraction of blob data with strong retrievability guarantees instead of downloading full blobs. This materially reduces bandwidth and duplication, unlocking much more throughput for rollups that post data to Ethereum as blobs. See the Ethereum foundation thread and an explainer confirming ~8x capacity potential in CryptoSlates preview.
Rollups can scale blob posting without forcing nodes to upgrade to data?center hardware, which supports lower L2 costs and better performance over time.
2. Blob Capacity Schedule
Fusaka introduces blob?parameter?only (BPO) upgrades that raise blob targets without a full hard fork. The schedule the foundation shared is: current target 6 and max 9, then BPO1 on 9 Dec to target 10 and max 15, and BPO2 on 7 Jan 2026 to target 14 and max 21 per the Ethereum thread. Media coverage reiterates the mechanism and gradual rollout to protect network stability, for example Cointelegraph and CoinDesk.
Expect stepwise increases in blob space that should reduce L2 congestion and fees as capacity rises, with monitoring periods between changes.
3. Blob Fee Economics
Fusaka adds a minimum blob base fee tied to L1 execution costs (EIP?7918), ending the near?free blob regime that sometimes occurred at low utilization. This aligns blob pricing with actual resource use and keeps the data?availability market rational per the Ethereum thread and coverage noting a new floor for fees in Yahoo Finance.
L2s pay a predictable baseline for posting data, which improves economic sustainability and should contribute more consistently to ETH burn as rollup activity grows.
Conclusion
Fusakas blob changes center on PeerDAS sampling, scheduled capacity increases, and fee floors that make data availability cheaper to operate yet properly priced. The practical outcome is a path to higher rollup throughput and more stable fee dynamics, delivered gradually to maintain decentralization and network safety.
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