By enabling the consolidation of existing validators up to 2048 eth in size, this is a unique opportunity for node operators and staking protocols to reduce their validator count and migrate to distributed validators to future-proof their infrastructure.

Correlation represents a critical hot-topic and key consideration for ETH stakers. Yet the landscape of correlation risks remains broadly misunderstood.   A collaboration between Obol Labs and Liquid Collective, the report “Ethereum’s Correlation Risks: Poorly Understood, but Always Present” examines, for the first time, a holistic cross-section of today’s

In this article, we explain how and why we built Obol’s DVT as a middleware: to keep Ethereum secure, resilient, and composable. Our composable approach will enable an ecosystem of staking products backed by DVs, making Ethereum more resilient and decentralised than ever before!

This is part 4 of a series exploring how DVs help different types of validators in the Ethereum ecosystem. In this article, we visit Staking-as-a-service (StaaS) providers.

This is part 3 in a multi-part series that explores how DVT helps the different types of entities in the Ethereum staking ecosystem. In this article, we visit an increasingly important segment of the community: Digital Asset Custodians.

This is part 2 of a multi-part series that explores how DVs help the different types of validators in the Ethereum ecosystem. In this article, we visit arguably the most important type of validator to the Ethereum ethos: at-home validators.

In this multi-part blog post series, we will be researching and exploring potential use cases of Distributed Validator Technology (DVT) in the Cosmos ecosystem.

The Ethereum ecosystem is on the brink of a significant transformation with the upcoming Shanghai upgrade. This article explores key metrics and delves into the potential impact of the hard fork on the staking ecosystem.

A proposal to add two new endpoints to the beacon API that would allow DVT validator clients to support committee aggregations.

This is part 1 in a multi-part series that explores how DVT helps the different types of validators in the Ethereum ecosystem, starting with the fastest growing type: liquid staking protocols.

Minimizing correlation is vital when designing DVT as Ethereum Proof of Stake is designed to heavily punish correlated behavior. In designing Obol, we’ve made careful choices to create a trust-minimized and non-correlated architecture.

If you haven’t yet heard, Distributed Validator Technology, or DVT, is the next big thing on The Merge section of the Ethereum roadmap.

In 2018 I feared Proof of Stake wouldn't be as decentralised as Proof of Work. In 2022 I'm doing something about it with Obol Labs.