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Briefing

Ethereum is entering the final testnet phase for its Fusaka core protocol upgrade, a systemic intervention designed to optimize the network’s data availability layer and prepare for true parallel execution. The upgrade’s primary consequence is the dramatic reduction of Layer 2 (L2) transaction costs, which directly improves the unit economics for all dApps built on the Ethereum ecosystem and unlocks new application design space. This structural improvement is achieved through Peer Data Availability Sampling (PeerDAS), a new primitive that fundamentally alters how L2 data is stored and verified, quantified by an eightfold increase in blob throughput per block.

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Context

Prior to this upgrade, the primary friction point for L2 adoption was the non-linear relationship between network usage and data availability costs. Rollups were forced to post all transaction data back to the Ethereum mainnet, which created a significant hardware burden for full nodes and resulted in high L2 transaction fees for end-users. This data storage bottleneck constrained the design space for high-throughput applications like decentralized gaming and social media, limiting the ecosystem’s ability to onboard users at Web2 scale. The prevailing product gap was a lack of economically viable, high-volume data capacity on the base layer.

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Analysis

The Fusaka upgrade alters the core data availability system by deploying PeerDAS, which is a probabilistic data storage model. This system enables Ethereum nodes to store only small, random portions of the L2 “blob” data, drastically reducing the hardware requirements for node operators while maintaining cryptographic security through distributed sampling. The immediate chain of effect for the application layer is a projected 70% reduction in L2 transaction fees, making high-frequency, low-value dApp interactions economically feasible for the first time.

Furthermore, the upgrade introduces a per-transaction gas cap of 16.78 million units, which improves block predictability and reduces the risk of a single complex transaction monopolizing block space. This architectural change creates a more stable, scalable, and predictable environment, strengthening the competitive moat for all L2s and incentivizing developers to build more complex, state-intensive applications.

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Parameters

  • Blob Throughput Increase ∞ Eightfold (from 6 to 48 blobs per block). This quantifies the new data capacity for Layer 2 rollups.
  • L2 Fee Reduction Target ∞ Approximately 70% expected decrease in Layer 2 transaction costs.
  • New Per-Transaction Gas Cap ∞ 16.78 million units, which prevents block monopolization and enhances network stability.
  • Block Gas Limit Increase ∞ Raised from 45 million to 60 million units, increasing overall network throughput.

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Outlook

The Fusaka upgrade establishes the necessary data infrastructure for Ethereum’s next major phase, Glamsterdam, which is scheduled to introduce parallel transaction execution (EIP-7928) in 2026. This move solidifies Ethereum’s modular roadmap, positioning the base layer as a highly efficient, secure data availability and settlement layer. The significant reduction in L2 costs will drive an immediate wave of dApp experimentation, as previously cost-prohibitive models become viable.

Competitors in the modular space must now accelerate their own data availability solutions to match this new cost-efficiency primitive, or risk losing developer mindshare to the Ethereum L2 ecosystem.

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Verdict

The Fusaka upgrade is a fundamental infrastructure recalibration that establishes a new economic baseline for Layer 2s, cementing Ethereum’s long-term dominance as the secure, high-throughput settlement layer for the decentralized application ecosystem.

layer two scaling, data availability sampling, modular blockchain architecture, transaction throughput, block gas limit, parallel execution, rollup economics, decentralized infrastructure, core protocol upgrade, EIP standard, node operation, network security, transaction fees, developer experience, gas cap Signal Acquired from ∞ tradingview.com

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data availability sampling

Definition ∞ Data availability sampling is a technique used in blockchain scalability solutions, particularly rollups, to ensure that transaction data is accessible without requiring every node to download the entire dataset.

data availability

Definition ∞ Data availability refers to the assurance that data stored on a blockchain or related system can be accessed and verified by participants.

transaction fees

Definition ∞ Transaction fees are charges paid to network validators or miners for processing and confirming transactions on a blockchain.

transaction

Definition ∞ A transaction is a record of the movement of digital assets or the execution of a smart contract on a blockchain.

throughput

Definition ∞ Throughput quantifies the rate at which a blockchain network or transaction system can process transactions over a specific period, often measured in transactions per second (TPS).

transaction costs

Definition ∞ Transaction Costs are the expenses incurred when buying or selling a good or service, beyond the actual price of the item.

network

Definition ∞ A network is a system of interconnected computers or devices capable of communication and resource sharing.

block gas

Definition ∞ Block gas refers to the computational effort required to process transactions and execute smart contracts within a specific block on a blockchain network.

settlement layer

Definition ∞ A settlement layer is a blockchain or system where final transactions are recorded and confirmed.

availability

Definition ∞ Availability refers to the state of a digital asset, network, or service being accessible and operational for users.

fusaka upgrade

Definition ∞ The Fusaka Upgrade refers to a specific, planned enhancement or modification to a blockchain protocol or network.