Gaimin的分散文件共享平台应对行业最艰难的挑战

从加密货币到智能合约，它承诺将透明，安全且没有集中控制的系统。

Decentralization is a core principle underpinning blockchain technology, promising systems that are transparent, secure and free from centralized control. From cryptocurrencies to smart contracts, this technology has brought innovation to many industries.

权力下放是基础区块链技术的核心原则，是透明，安全且没有集中控制的有前途的系统。从加密货币到智能合约，这项技术为许多行业带来了创新。

However, one critical area remains dominated by centralized providers: file sharing. Most organizations still rely on cloud solutions for file storage and delivery. Replacing bulky on-premise servers with accessible, elastic computing, the cloud was once a symbol of progress.

但是，一个关键领域仍由集中式提供商主导：文件共享。大多数组织仍然依靠云解决方案进行文件存储和交付。用可访问的弹性计算代替笨重的本地服务器，云曾经是进度的象征。

But as adoption matured, the model revealed its cracks. Centralized cloud providers introduce risks that range from data breaches to vendor lock-in, while often providing little transparency around where and how data is stored.

但是随着收养的成熟，该模型揭示了其裂缝。集中式云提供商会引入风险，从数据泄露到供应商的锁定，同时通常几乎不提供透明度，围绕数据的存储方式和方式。

Cloud users also have limited visibility into how their files travel across networks or where they’re replicated. Privacy and performance become conflicting priorities, and the ability to ensure that data remains sovereign — to a region, a jurisdiction or even a company—can be lost entirely.

云用户对他们的文件如何在网络上或复制的何处传播的情况也有限。隐私和绩效成为相互矛盾的优先事项，并能够完全丢失数据，以确保数据保持主权（到一个地区，管辖权甚至公司）。

For businesses operating in multiple jurisdictions, this can quickly become a compliance minefield — especially under frameworks like the General Data Protection Regulation (GDPR), which governs the handling of personal information.

对于在多个司法管辖区运营的企业，这可能很快成为合规性雷区，尤其是在管理个人信息处理的框架下，诸如《通用数据保护法规》（GDPR）。

This backdrop has motivated blockchain-based solutions to offer an alternative to traditional file-sharing, leveraging cryptography for security and distributing storage across a network of peers.

这种背景激发了基于区块链的解决方案，以提供传统文件共享的替代方案，利用密码学用于安全性和在同行网络上分发存储。

However, the implementations often fell short in practice. Many struggled with achieving enterprise-grade performance, leaving users to choose between decentralization and practical usability. Others approached decentralization so rigidly that they couldn't accommodate regional data laws, creating further compliance headaches for businesses.

但是，实践中的实现通常不足。许多人努力实现企业级的性能，使用户可以在权力下放和实际可用性之间进行选择。其他人则非常严格地进行权力下放，以至于他们无法适应区域数据法，从而为企业带来了进一步的合规性头痛。

In some cases, early networks even relied on manual peer coordination, limiting scalability and making uptime difficult to guarantee. Perhaps most critically, few managed to solve the economic challenge — creating a system where decentralized storage could compete with centralized providers on both cost and reliability.

在某些情况下，早期网络甚至依赖手动同行协调，限制可扩展性和难以保证的正常运行时间。也许最重要的是，很少有人能够解决经济挑战 - 创建一个系统，即分散存储可以在成本和可靠性方面与集中的提供商竞争。

This has prevented decentralized file-sharing from gaining traction outside of niche communities.

这阻止了分散的文件共享在利基社区之外获得吸引力。

To counter this, GAIMIN is an ecosystem that harnesses the idle power of high-performance gaming PCs around the world. Its flagship platform, GAIMIN Cloud, repurposes unused GPU and storage resources into a distributed computing layer capable of supporting demanding tasks like artificial intelligence, data delivery and file distribution at scale.

为了解决这个问题，Gaimin是一个生态系统，它可以利用世界各地的高性能游戏PC的闲置力量。它的旗舰平台Gaimin Cloud将未使用的GPU和存储资源重新利用为分布式计算层，能够支持诸如人工智能，数据传输和文件分配等苛刻任务。

One of the latest components in the GAIMIN Cloud ecosystem is its file-sharing service, designed to address three of the thorniest challenges in decentralized infrastructure: security, regulatory compliance and operational cost.

Gaimin Cloud生态系统中最新的组件之一是其文件共享服务，旨在解决分散基础架构中最艰难的三个挑战：安全性，监管合规性和运营成本。

At its core, the system fragments files into encrypted shards, which are distributed across a global network of nodes. This approach eliminates single points of failure, meaning that even if one node is compromised, the data remains secure. Each shard is stored with redundancy, ensuring high availability without sacrificing privacy.

从本质上讲，系统片段将文件片段分布在加密的碎片中，这些碎片分布在整个节点网络上。这种方法消除了单个故障点，这意味着即使一个节点受到损害，数据仍然安全。每个碎片都有冗余存储，可确保无牺牲隐私而高可用性。

Furthermore, GAIMIN employs a geo-aware architecture that adheres to regional regulations by assigning data storage and computing tasks to nodes based on physical location. This solves a key compliance issue for decentralized networks, where data often travels freely and unpredictably across borders.

此外，Gaimin采用了地理意识架构，该体系结构通过根据物理位置将数据存储和计算任务分配给节点来遵守区域法规。这解决了分散网络的关键合规问题，在该网络中，数据通常可以自由且不可预测地在各个边界上传播。

For end-users — whether developers, enterprises or decentralized apps — this translates to complete control over access, keys and lifecycle management. Files remain protected throughout their journey, and access can be revoked or updated without relying on a central authority.

对于最终用户（无论是开发人员，企业还是分散应用程序），这转化为对访问，钥匙和生命周期管理的完全控制。文件在整个旅程中仍然受到保护，并且可以在不依赖中央权威的情况下撤销或更新访问。

This stands in stark contrast to the traditional cloud, where data is typically replicated across unknown servers, and deletion requests are more symbolic than enforceable.

这与传统云形成鲜明对比，其中通常在未知服务器上复制数据，并且删除请求比可强制执行更象征性。

Rather than pitching its solution theoretically, GAIMIN opted to test it under real-world conditions. The company became the first adopter of its own platform, using the file-sharing network to deliver large data sets across its global infrastructure.

Gaimin不是从理论上宣传其解决方案，而是选择在现实情况下对其进行测试。该公司使用文件共享网络在其全球基础架构上提供了大型数据集，成为了自己的平台的第一批采用者。

The results were significant: the costs were cut by over 70%, saving the company tens of thousands of dollars each month, and a dramatic increase in performance reliability.

结果很重要：成本削减了70％以上，节省了公司每月数万美元，并且绩效可靠性急剧提高。

GAIMIN incentivizes participation by rewarding users who contribute storage and bandwidth with its native token, GMRX. This model scales in a way that centralized services can’t. Instead of provisioning new data centers or renting capacity from hyperscale providers, GAIMIN expands organically as more users join.

Gaimin通过奖励使用其本土代币GMRX贡献存储和带宽的用户来激励参与。该模型以集中服务不能进行的方式扩展。随着越来越多的用户加入，Gaimin没有为Hyperscale提供者提供新的数据中心或从Hyperscale提供者提供租金能力。

As demand increases — driven by data-heavy use cases like AI training or 3D content delivery — the network becomes stronger, faster and more efficient. This bottom-up scaling approach ensures that infrastructure keeps pace with real-time user needs rather than corporate forecasts.

随着需求的增加（在AI培训或3D内容传递（3D内容）之类的繁重用例中，网络变得更强大，更快，更有效。这种自下而上的缩放方法可确保基础架构与实时用户需求而不是公司预测保持同步。

As the industry continues to grapple with the limitations of centralized cloud providers, GAIMIN offers a path forward: a file-sharing network that is fast, secure and compliant by design — not in spite of decentralization, but because of it.

随着该行业继续努力应对集中式云提供商的局限性，Gaimin提供了一个前进的路径：一个快速，安全和符合设计的文件共享网络 - 尽管没有权力下放，而是因为它是因为它。

Learn more about GAIMIN

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This material is provided in cooperation with GAIMIN and does not constitute investment advice. Any views, thoughts, and opinions expressed in this article are the authors' own and do not necessarily reflect the views, opinions, or beliefs of BENZINGA or its employees. Benzinga urges readers to perform their own due diligence and consult with a qualified professional before making any investment decisions.

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