Vitalik Buterin Proposes New Storage Design for 500B Privacy Records on Ethereum

Key Takeaways

Vitalik Buterin proposes a new Ethereum storage design to improve scalability and make it easier to support privacy features.

The idea uses keyed nonces and a dedicated storage layer to better organize and reduce long-term data growth.

The new system could handle up to 500 billion privacy records over eight years without slowing the network.

Ethereum co-founder Vitalik Buterin has introduced a new approach to Ethereum’s storage system that aims to make the network more scalable while also improving privacy handling. As blockchain activity continues to grow, one of Ethereum’s biggest challenges has been how to store large amounts of on-chain data without slowing the network or making privacy features too costly to support.

VITALIK BUTERIN TARGETS 500 BILLION PRIVACY RECORDS WITH NEW DESIGN

Ethereum $ETH co-founder, Vitalik Buterin (@VitalikButerin) has a new idea for scaling the network.

He wants to use something called keyed nonces, which could help with both privacy and storage at the same… pic.twitter.com/D4hvBAJx1T
— BSCN (@BSCNews) May 6, 2026

His idea introduces keyed nonces and a dedicated storage area for privacy-related records, which would help organize and compress how certain types of data are stored. The goal is to reduce long-term storage pressure while still enabling Ethereum to support stronger privacy features more efficiently.

A New Direction For Ethereum’s Storage And State Growth

Building on this idea, Buterin’s proposal also focuses on Ethereum’s growing “state,” which is the full set of data the network stores and updates over time. As more users, apps, and transactions are added, this state continues to expand, making it harder to manage.

The Challenge of a Growing State

As Ethereum’s state grows, it creates practical problems for the network:

Full nodes need more storage space.
Running a node becomes more expensive.
Fewer people can afford to support the network.
This can slowly affect decentralization.

In simple terms, the bigger the state gets, the harder it is for regular users to help run the network.

Separating Privacy Data For Efficiency

To address this, the proposal changes how certain types of data are stored, particularly privacy-related information. Instead of keeping everything in one shared system, it moves specific data into a more focused structure.

A key example is nullifiers, which are used in privacy systems to:

Prevent a user from spending the same funds more than once.
Hide sensitive transaction details from public view.
Still confirm that the transaction is valid without revealing the data.

By handling these separately from Ethereum’s main state, the network can:

Slow down the long-term growth of stored data.
Make it easier and cheaper to run a node.
Support privacy features without adding extra load to the system.

Overall, the goal is to keep Ethereum easier to run while still allowing it to scale and support stronger privacy tools in the future.

A System Built for Massive Scale

Buterin estimates that a dedicated storage layer for nullifiers could handle up to 500 billion entries over an eight-year period, enabling large-scale growth in privacy-related data without slowing the network. This design moves heavy storage demand away from Ethereum’s main state and into a separate system built specifically for this purpose.

By doing this, Ethereum can keep its core infrastructure lighter and easier to run while still supporting advanced privacy features. It also helps maintain decentralization by reducing pressure on node operators, ensuring the network can scale further without sacrificing performance or accessibility.

Moving Toward Specialized Blockchain Storage

Beyond small improvements, this idea also changes how Ethereum handles data on a larger scale. Instead of putting everything into one system, different types of data could be stored in ways built specifically for them.

This helps reduce pressure on Ethereum’s main network and makes things run more smoothly. By splitting up the workload, the system remains lighter and easier to manage while still supporting advanced features like privacy, without slowing down or sacrificing decentralization.

Final Thoughts

Buterin’s idea offers a clearer path for Ethereum as it grows. Instead of storing all data in a single heavy system, the network could split things up and handle different types of data more efficiently, especially privacy-related information. If this approach works, Ethereum could become easier to run, less crowded over time, and better at supporting privacy features. Most importantly, it helps the network scale without losing its decentralization, keeping it strong as usage continues to grow.