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在过去的几年里,云计算一直是一个不断增长的领域。到 2032 年,其市值预计将翻两番,达到 23 亿美元。

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.
云计算在过去几年中取得了巨大的增长,其市值有望翻两番,到 2032 年将达到 23 亿美元。然而,该市场主要由少数主要参与者主导,包括 AWS、Azure 和 Google Cloud。这些参与者之一的系统性失败将对全球的公司和零售用户产生毁灭性影响。例如,2024 年 3 月 Meta 的宕机影响了全球至少 60 万人。
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.
该问题的解决方案可能是 DePIN(去中心化物理基础设施)和 DeREN(去中心化资源网络)。这些技术不仅可以最大限度地降低与此类事件相关的风险,还可以增强数据处理的安全性和透明度,同时降低运营和管理成本。
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 最近发布的一份报告评估了云计算市场的关键问题以及 DePIN 和 DeREN 如何实现市场民主化和改善。
Download a full version of the report for free here.
在此免费下载报告的完整版本。
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.
计算密集型人工智能模型的兴起正在推动 DePIN 和 DeREN 的增长。预计到 2029 年,人工智能市场将达到约 1.4 万亿美元。DePIN 和 DeREN 可以通过提供更便宜的计算能力来降低人工智能开发人员的进入门槛。
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 提供与 Google Cloud 相同的云计算服务,但成本仅为后者的一小部分(5 美元 vs 300 美元)。报告详细介绍了成本大幅降低背后的原因。
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提供了一个去中心化的云计算平台,提供算力、存储和带宽等资源。这些可用于人工智能应用、智能合约和其他去中心化服务。该平台的核心是一个人工智能计算和存储竞价市场,用户可以在其中发布与提供商匹配的资源请求。
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,如果用户需要在没有所需硬件的情况下渲染复杂的 3D 动画,他们可以在 Swan Chain 平台上发布请求。具有必要计算能力的提供商可以竞标承担这项任务。与传统云服务相比,这减少了时间和成本。根据 SwanChain 团队提供的信息,与 AWS 等大型市场参与者相比,在 SwanChain 的基础设施网络上运行类似 Chat GPT 的模型可能会便宜 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 产品以及 DePIN 生态系统的其他关键发展,请阅读此处的完整报告。
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的生态系统基于硬件提供商的去中心化网络,代表用户执行计算任务。该计算层接受区块链上各种代币的支付。所提供的服务包括基于零知识(ZK)计算技术的产品。该平台上线两个月内已处理近35万个ZK计算任务,展现了其为ZK应用大规模提供计算资源的能力。
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.
我们的报告还概述了 DePIN 领域的快速扩张,并对 Filecoin、Render Token 等著名 DePIN 项目进行了比较。这些都是去中心化网络如何增强人工智能应用的案例研究。
The Cointelegraph Research team
Cointelegraph 研究团队
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 的研究部门由区块链行业的一些最优秀的人才组成。该团队的研究人员将学术严谨性与来之不易的实际经验结合起来,致力于带来市场上最准确、最有洞察力的内容。
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.
该团队的研究人员是来自金融、经济和技术领域的主题专家,为市场带来行业报告和富有洞察力的分析的主要来源。该团队利用各种来源的 API 来提供准确、有用的信息和分析。
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.
免责声明。本文表达的观点仅供一般参考之用。它们无意为任何个人或任何特定的证券或投资产品提供具体的建议或建议。
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 不认可本页面上的任何内容或产品。虽然我们的目标是向您提供我们可以在这篇赞助文章中获得的所有重要信息,但读者
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