最佳的是任何區塊鏈的分散，性能增強的記憶層，籌集了1100萬美元的種子回合

邀請哈佛和麻省理工學院等機構的創作者從學術界跳入商業加密競技場。

Decentralized, performance-enhancing memory layer Optimum has raised $11 million in seed funding, inviting its creators from institutions like Harvard and MIT to jump from the world of academia into the commercial crypto arena.

分散的，增強性能的記憶層最佳籌集了1100萬美元的種子資金，邀請其從哈佛大學和麻省理工學院等機構的創造者從學術界跳入商業加密競技場。

The seed round was led by 1kx with participation from Robot Ventures, Finality Capital, Spartan, CMT Digital, SNZ, Triton Capital, Big Brain, CMS, Longhash, NGC, Animoca, GSR, Caladan, Reforge and others.

種子輪由1KX領導，來自Robot Ventures，Finality Capital，Spartan，CMT Digital，SNZ，Triton Capital，Big Brain，CMS，Longhash，NGC，NGC，Animoca，GSR，GSR，Caladan，Reforge等。

Optimum is building what it calls the missing memory layer of blockchains, making the way data is stored, accessed and propagated, faster, cheaper and truly decentralized, according to a press release.

根據新聞稿，Optimum正在構建它所謂的區塊鏈的缺失存儲器層，從而使數據的存儲，訪問和傳播，更快，更便宜且真正分散。

At the core of Optimum’s innovation is a method of decentralized coding for distributed systems, known as Random Linear Network Coding (RLNC), developed by Muriel Médard, an MIT professor who is speaking at Consensus Toronto 2025.

Optimum創新的核心是一種用於分佈式系統的分散編碼的方法，被稱為隨機線性網絡編碼（RLNC）。

“If you think of Web3 as a decentralized world computer, people have done an amazing job on the compute part; let's say, the operating system,” Médard said in an interview. “But anybody who's put together a computer knows that you also need a bus, which is the data propagation, and you need a memory, which we call the random access memory, as opposed to more static memory like a disk or the cloud.”

梅達德在接受采訪時說：“如果您認為Web3是一台分散的世界計算機，人們在計算部分上做得很棒；假設操作系統。” “但是，將計算機組合在一起的任何人都知道您還需要一輛總線，即數據傳播，並且您需要一個內存，我們將其稱為隨機訪問存儲器，而不是磁盤或云等更靜態的內存。”

Without a scalable memory layer, blockchains face systemic inefficiencies, according to Médard, such as outdated gossip networks that redundantly propagate data, congested memepools that cause unpredictable delays and bloated nodes that make retrieval costly and complex.

根據Médard的說法，如果沒有可擴展的記憶層，區塊鏈就面臨系統性效率低下的效率，例如過時的八卦網絡，這些網絡會冗餘地傳播數據，造成不可預測的延遲和腫的節點，這些造成了不可預測的節點，這些節點使得造成了昂貴且複雜的檢索。

Optimum’s memory infrastructure tackles inefficient data propagation, redundant storage and slow access, using Médard’s RLNC coding scheme.

使用Médard的RLNC編碼方案，Optimum的內存基礎架構可以解決效率低下的數據傳播，冗餘存儲和慢速訪問。

Optimum is now live on a private testnet and is inviting L1s, L2s, validators and node operators to experience its decentralized memory layer in action.

現在，Optimum現在可以在私有測試網上進行，並邀請L1，L2S，驗證器和節點運算符在操作中體驗其分散的內存層。