DePIN 和 DeREN：去中心化如何實現雲端運算的民主化和增強

在過去的幾年裡，雲端運算一直是一個不斷成長的領域。到 2032 年，其市值預計將翻兩番，達到 23 億美元。

Cloud computing has seen immense growth over the past few years, with its market capitalization on track to quadruple and reach $2.3 billion by 2032. However, the market is largely dominated by a few key players, including AWS, Azure, and Google Cloud. A systemic failure of one of these players would have a devastating impact on both companies and retail users around the globe. For instance, Meta’s outage in March 2024 affected at least 600,000 people worldwide.

雲端運算在過去幾年中取得了巨大的成長，其市值預計將翻兩番，到 2032 年將達到 23 億美元。這些參與者之一的系統性失敗將對全球的公司和零售用戶產生毀滅性影響。例如，2024 年 3 月 Meta 的宕機影響了全球至少 60 萬人。

A solution to this problem could be DePINs (Decentralized Physical Infrastructure) and DeRENs (Decentralized Resource Networks). These technologies can not only minimize the risks associated with such incidents but also enhance the security and transparency of data processing while decreasing operational and administrative costs.

這個問題的解決方案可能是 DePIN（去中心化實體基礎設施）和 DeREN（去中心化資源網路）。這些技術不僅可以最大限度地降低與此類事件相關的風險，還可以增強資料處理的安全性和透明度，同時降低營運和管理成本。

A recent report by Cointelegraph Research and SwanChain assesses the critical issues of the cloud computing market and how DePINs and DeRENs can democratize and improve the market.

Cointelegraph Research 和 SwanChain 最近發布的一份報告評估了雲端運算市場的關鍵問題以及 DePIN 和 DeREN 如何實現市場民主化和改善。

Download a full version of the report for free here.

在此免費下載報告的完整版本。

The rise of computationally intensive AI models is driving the growth of DePINs and DeRENs. The AI market is projected to reach approximately $1.4 trillion by 2029. DePINs and DeRENs can lower the entry barrier for AI developers by providing cheaper access to computing power.

計算密集型人工智慧模式的興起正在推動 DePIN 和 DeREN 的成長。預計到 2029 年，人工智慧市場將達到約 1.4 兆美元。

For instance, Flux provides the same cloud computing services as Google Cloud at a fraction of the latter’s cost ($5 vs $300). The reasons behind such a significant cost reduction are covered in detail in the report.

例如，Flux 提供與 Google Cloud 相同的雲端運算服務，但成本僅為後者的一小部分（5 美元 vs 300 美元）。報告詳細介紹了成本大幅降低背後的原因。

Swan Chain offers a decentralized cloud computing platform that provides resources such as computational power, storage, and bandwidth. These can be used for AI applications, smart contracts, and other decentralized services. At its heart, the platform is an AI computing and storage bidding market where users can post requests for resources that are matched with providers.

Swan Chain提供了一個去中心化的雲端運算平台，提供算力、儲存和頻寬等資源。這些可用於人工智慧應用、智能合約和其他去中心化服務。該平台的核心是一個人工智慧運算和儲存競價市場，用戶可以在其中發布與提供者匹配的資源請求。

For example, if a user has to render a complex 3D animation without having the required hardware, they can post a request on Swan Chain’s platform. Providers with the necessary computational power can bid to take on this task. This reduces the time and cost compared to traditional cloud services. According to information provided by SwanChain’s team, running a Chat GPT-like model on Swan Chain’s infrastructure network could be 40-50% cheaper in comparison to big market players such as AWS.

例如，如果使用者需要在沒有所需硬體的情況下渲染複雜的 3D 動畫，他們可以在 Swan Chain 平台上發布請求。具有必要計算能力的提供者可以競標承擔這項任務。與傳統雲端服務相比，這減少了時間和成本。根據 SwanChain 團隊提供的信息，與 AWS 等大型市場參與者相比，在 SwanChain 的基礎設施網路上運行類似 Chat GPT 的模型可能會便宜 40-50%。

To gain a full overview of Swan Chain’s product, along with other key developments in the DePIN ecosystem, read the full report here.

要全面了解 Swan Chain 產品以及 DePIN 生態系統的其他關鍵發展，請閱讀此處的完整報告。

Swan Chain’s ecosystem is based on a decentralized network of hardware providers that execute computing tasks on behalf of users. This computing layer accepts payments in various tokens across blockchains. Products based on zero-knowledge (ZK) computing technology are among the services on offer. The platform has processed almost 350,000 ZK computing tasks within two months of launch, showcasing its capacity to provide computing resources for ZK applications at scale.

Swan Chain的生態系統是基於硬體供應商的去中心化網絡，代表使用者執行運算任務。此計算層接受區塊鏈上各種代幣的支付。所提供的服務包括基於零知識（ZK）計算技術的產品。該平台上線兩個月內已處理近35萬個ZK運算任務，展現了其為ZK應用大規模提供運算資源的能力。

Our report also gives an overview of the rapid expansion of the DePIN sector and provides a comparison of notable DePIN projects such as Filecoin, Render Token, etc. These function as case studies of how decentralized networks can enhance AI applications.

我們的報告還概述了 DePIN 領域的快速擴張，並對 Filecoin、Render Token 等著名 DePIN 專案進行了比較。

The Cointelegraph Research team

Cointelegraph 研究團隊

Cointelegraph’s Research department comprises some of the best talents in the blockchain industry. Bringing together academic rigor and filtered through practical, hard-won experience, the researchers on the team are committed to bringing the most accurate, insightful content available on the market.

Cointelegraph 的研究部門由區塊鏈行業的一些最優秀的人才組成。團隊的研究人員將學術嚴謹性與來之不易的實際經驗結合起來，致力於帶來市場上最準確、最有洞察力的內容。

The researchers on the team are subject matter experts from the fields of finance, economics and technology, bringing the premier source for industry reports and insightful analysis to the market. The team utilizes APIs from a variety of sources in order to provide accurate, useful information and analyses.

該團隊的研究人員是來自金融、經濟和技術領域的主題專家，為市場帶來行業報告和富有洞察力的分析的主要來源。團隊利用各種來源的 API 來提供準確、有用的資訊和分析。

Disclaimer. The opinions expressed in this article are for general informational purposes only. They are not intended to provide specific advice or recommendations for any individual or on any particular security or investment product.

免責聲明。本文所表達的觀點僅供一般參考。它們無意為任何個人或任何特定的證券或投資產品提供具體的建議或建議。

Cointelegraph does not endorse any content or product on this page. While we aim at providing you with all important information that we could obtain in this sponsored article, readers

Cointelegraph 不認可本頁面上的任何內容或產品。雖然我們的目標是向您提供我們可以在這篇贊助文章中獲得的所有重要信息，但讀者