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the-ethereum-roadmap-merge-surge-verge
Blog

Full Danksharding’s Role in Ethereum’s Final Form

Full Danksharding is the capstone of Ethereum's Surge, enabling cheap, scalable data availability for rollups. This is the technical blueprint for a million TPS chain.

introduction
THE DATA

Introduction: The Scalability Endgame

Full Danksharding is the final architectural upgrade that transforms Ethereum into a unified settlement and data availability layer for a scalable ecosystem.

Full Danksharding is the endgame. It completes the rollup-centric roadmap by providing near-infinite, cheap data availability (DA), which is the primary constraint for Layer 2 scaling today. Without it, rollups like Arbitrum and Optimism remain bottlenecked by expensive calldata on Ethereum L1.

The core innovation is data availability sampling (DAS). This allows light nodes to securely verify massive data blobs without downloading them, a cryptographic breakthrough that separates Ethereum's approach from monolithic chains. It enables Ethereum to scale data capacity without scaling state, preserving decentralization.

This creates a new economic model. Rollups become pure execution layers, competing on performance while purchasing commoditized DA from Ethereum. This mirrors how AWS and Cloudflare provide infrastructure for applications, establishing Ethereum as the base settlement and security layer for the entire modular stack.

Evidence: Proto-Danksharding (EIP-4844) introduced blobs, reducing L2 transaction fees by over 90%. Full Danksharding expands this capacity from ~3 blobs per block to 64, enabling a theoretical 1-2 million TPS for the aggregated rollup ecosystem.

deep-dive
THE SCALING ROADMAP

From Proto-Danksharding to Full Danksharding: The Technical Leap

Proto-danksharding (EIP-4844) is a data availability testbed, while full danksharding is the final architecture for scaling Ethereum's execution.

Proto-danksharding is a staging environment for full danksharding. It introduces blob-carrying transactions and a new fee market for data, but does not increase the number of shards. This allows rollups like Arbitrum and Optimism to test cheaper data posting without implementing the full consensus complexity.

Full danksharding is a consensus-level redesign. It scales data availability by distributing blob data across 64 shards, enabling parallel data sampling via data availability sampling (DAS). This separates data verification from execution, a fundamental shift from monolithic chains.

The leap is from 0.032 MB to 1.3 MB per slot. Proto-danksharding's 0.032 MB blobs are a temporary cap. Full danksharding's 64 shards will deliver a ~40x increase in raw data bandwidth, which directly translates to lower costs for L2s and higher throughput for applications like Uniswap and Farcaster.

Evidence: The bottleneck shifts from consensus to execution. Even with 1.3 MB/slot of cheap data, rollup sequencers and prover networks like Risc Zero or Succinct become the new scaling limit, forcing innovation in parallelized VMs and proof aggregation.

FROM BLOBS TO BLOCKS

The Evolution of Ethereum Data Availability: A Comparative Matrix

This table compares the core data availability (DA) solutions for Ethereum, from the current rollup-centric scaling to the final form of Full Danksharding.

Feature / MetricCurrent State (EIP-4844 Blobs)Proto-Danksharding (EIP-4844)Full Danksharding (The Final Form)

Core DA Mechanism

Data posted to Ethereum calldata

Data posted to dedicated blob-carrying transactions

Data distributed across a 64-shard peer-to-peer network

Target Data Bandwidth per Block

~0.1 MB (calldata limit)

~0.75 MB (3 blobs)

~1.3 MB (64 blobs, 256 KB each)

Data Availability Sampling (DAS)

Data Persistence Guarantee

Full nodes store all data forever

Full nodes store blobs for ~18 days (EIP-4444)

Light clients can cryptographically verify data availability without downloading it all

Cost Model for Rollups

Gas auction (volatile, L1-congestion dependent)

Separate fee market (blob gas), ~100x cheaper than calldata

Separate fee market, designed for sub-cent per transaction costs

Consensus Layer Bloat Mitigation

None. Historical data grows indefinitely.

Pruning after ~18 days via EIP-4444.

Built-in. Nodes only sample data, do not store full history.

Required Client Upgrade

Execution client only

Execution & Consensus client (PBS, 4844)

Full new consensus protocol (Danksharding + DAS + PBS)

Expected Timeline

Live

Live (Q1 2024)

Post-2025, requires significant R&D

future-outlook
THE DATA LAYER

The Final Form: A Modular World Anchored by Ethereum

Full Danksharding transforms Ethereum into a hyper-scalable, secure data availability layer for a modular ecosystem.

Full Danksharding is the endgame. It decouples execution from data availability, enabling Ethereum to scale to 1-2 MB of data per slot. This creates a global settlement layer for rollups like Arbitrum and Optimism, which post their transaction data as cheap blobs.

The core innovation is data availability sampling. Light clients verify data availability without downloading entire blobs, a technique pioneered by Celestia. This trust-minimized verification is the bedrock for secure, high-throughput modular chains.

Ethereum becomes the universal DA anchor. Competing layers like Celestia and Avail offer alternatives, but Ethereum's unmatched economic security from its validator set and established trust network makes it the default choice for high-value applications.

Evidence: Post-Dencun, blob fees on Ethereum are often under $0.01, enabling Arbitrum and Base to process millions of transactions daily while inheriting L1 security. This is the blueprint for mass adoption.

takeaways
FULL DANKS: THE DATA LAYER

Executive Summary: What CTOs and Architects Need to Know

Full Danksharding is not a throughput upgrade; it's a fundamental re-architecture of Ethereum's data availability layer, enabling a new class of high-throughput applications.

01

The Problem: Rollups Are Hitting a Data Ceiling

Today's rollups like Arbitrum, Optimism, and zkSync are bottlenecked by Ethereum's ~80 KB/s blob data bandwidth. This caps L2 transaction capacity and keeps fees volatile.\n- Current Limit: ~0.1 MB per block (with blobs)\n- Bottleneck: High L2 fees during congestion\n- Consequence: Limits mass adoption of on-chain gaming and social apps

~0.1 MB
Blob/Block
Volatile
L2 Fees
02

The Solution: A Commoditized Data Marketplace

Full Danksharding transforms the chain into a data availability oracle, decoupling data publishing from execution. It enables ~1.3 MB/s of guaranteed, cheap data.\n- Scale: 64 blobs/block (~1.3 MB each)\n- Mechanism: Data Availability Sampling (DAS) for light client verification\n- Result: L2 fees become predictable, sub-cent transactions feasible

~1.3 MB/s
Data Bandwidth
64
Blobs/Block
03

The Architectural Shift: Proposer-Builder-Separation (PBS) is Non-Negotiable

Full Danksharding's security model requires PBS and crLists to prevent data withholding attacks. This cements the builder role as a core infrastructure component.\n- Requirement: Enforced via in-protocol PBS\n- Security: crLists ensure censorship resistance\n- Implication: Builders (e.g., Flashbots, bloxroute) become critical validators of data ordering

Required
In-Protocol PBS
Critical
Builder Role
04

The New App Frontier: Verifiable Off-Chain Execution

With cheap, abundant DA, applications can move complex logic off-chain (e.g., AI inference, physics engines) and use Ethereum for settlement and fraud proofs, akin to Celestia's model.\n- Use Case: On-chain gaming, high-frequency DeFi, verifiable AI\n- Parallel: Similar to EigenLayer AVS design but for generic data\n- Outcome: Ethereum becomes the trust layer for hyper-scaled execution environments

Hyper-scaled
Execution Envs
Settlement
Core Role
05

The Economic Reality: Validator Costs Will 10x

Storing and propagating ~1.3 MB of data every 12 seconds requires a major leap in validator hardware, potentially centralizing to professional operators.\n- Hardware: ~2 TB SSD, 1 Gbps+ bandwidth\n- Cost: Significant increase in operational overhead\n- Risk: Further pressure on solo staker economics

~2 TB
SSD Required
10x+
Ops Cost
06

The Competitive Landscape: It's About Alignment, Not Throughput

Unlike modular competitors (Celestia, Avail), Full Danksharding's DA is cryptoeconomically secured by the Ethereum validator set. This creates a stronger alignment for rollups like Arbitrum and zkSync than using an external DA layer.\n- Advantage: Unified security and settlement\n- Contrast: Avoids fragmentation of trust and liquidity\n- Verdict: The integrated stack wins for high-value applications

Unified
Security/Settlement
Integrated
Stack Wins
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Full Danksharding: Ethereum's Final Scalability Layer | ChainScore Blog