1️⃣ L2 SCALING
1. EIP-7594: PeerDAS — 8× L2 Throughput
PeerDAS is the centerpiece of the Fusaka upgrade.
It distributes blob data across the network instead of requiring every node to store the entire blob.
Using Reed–Solomon encoding, blob data is split into 128 fragments, with each node storing only subsets. This reduces per-node bandwidth usage by 8×, enabling a theoretical 8× increase in blob capacity.
With this foundation, L2 throughput is expected to reach ~800–1,000 TPS by early January, and up to 10,000 TPS by late 2025 as further optimizations roll out.
2. EIP-7892: Mini Hardforks for Blob Count Adjustment (BPO)
Even with PeerDAS, blob capacity will not be increased eightfold at once.
To preserve network stability, blob targets will be raised gradually through dedicated “mini hardforks,” known as Blob Parameter Only (BPO) upgrades.
Two BPOs are scheduled:
- BPO-1 (Dec 17): Blob target → 6 → 10
- BPO-2 (Jan 7): Blob target → 10 → 14
After BPO-2, Ethereum L2s should sustain up to 1,000 TPS stably.
3. EIP-7918: Fixing the Broken Blob Fee Market
Currently, blob fees react poorly to demand fluctuations — remaining stuck at the minimum (1 wei). EIP-7918 introduces a lower bound for the blob base fee, set at 1/16 of the L1 base fee.
This stabilizes the blob fee market and restores proper price discovery. Although blob costs rise slightly, the UX impact is negligible — e.g., a typical L2 data cost increases from $0.000002 → $0.000003.
Meanwhile, higher blob fees may increase ETH burn rates. While minor now, this effect could become significant as Ethereum moves toward Danksharding, the “endgame” of data availability scaling.