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Optimum

Optimum

High-performance memory for the world computer.
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Comparing the Performance of OptimumP2P and Gossipsub

Publisher
Optimum
8 hours ago
In peer-to-peer networks, nodes need to disseminate information to each other, a task known as gossip. Gossipsub is a widely-used algorithm to perform
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Introducing OptimumP2P: Implementation and Benefits

Publisher
Optimum
June 06
OptimumP2P is coming. Currently in private testnet with a group of leading Ethereum validators and node operators, OptimumP2P boosts the speed and efficiency of communicating data between nodes. It leverages Random Linear Network Coding, a data coding technique our Co-founder Prof. Muriel Medard developed at MIT. RLNC is built specifically for achieving high throughput at scale on decentralized networks. To give a better understanding of how OptimumP2P works and its effects on blockchain ecosystems we’ll be walking through validator implementation, interaction with existing chain architecture, and specific benefits for each of the following groups:
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Battle of the Codes Pt II: RLNC Speedup

Publisher
Optimum
May 23
In the first part of this series, we explored how packet loss accumulates in block and fountain codes—even in simple network topologies such as daisy chains—and how the recoding capability of RLNC effectively mitigates this issue. In this follow-up article, we examine hierarchical topologies, such as trees, which have been adopted by Web3 protocols such as Monad and Solana. We present a simple example demonstrating that, even in tree-based architectures, RLNC can outperform both Raptor and Reed–Solomon (RS) codes by achieving lower latency.
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Battle of the Codes: RLNC vs Reed-Solomon & Fountain Codes

Publisher
Optimum
May 06
Random Linear Network Codes (RLNC) made their appearance in the early 2000s as an erasure coding solution for decentralized...
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Introducing Optimum: Building the Missing Memory Layer for Web3

Publisher
Optimum
April 15
But as this "world computer" grows, it’s becoming increasingly clear that something fundamental is missing: a high-performance memory layer.