DePIN 项目 io.net 与 Alpha Network 合作，提升基于 AI 的 Web3 应用程序的数据安全性和访问能力

这种合作关系可能会为人工智能应用程序提供一个安全且私密的环境，帮助开发人员构建和部署强大的去中心化应用程序（dApps）。

Data privacy and decentralized infrastructure network io.net has officially partnered with Alpha Network to boost data security and access for AI-based Web3 applications.

数据隐私和去中心化基础设施网络 io.net 已与 Alpha Network 正式合作，以提高基于 AI 的 Web3 应用程序的数据安全性和访问能力。

This partnership will potentially provide a secure and private environment for AI applications, helping developers build and deploy powerful decentralized applications (dApps).

这种合作关系可能会为人工智能应用程序提供一个安全且私密的环境，帮助开发人员构建和部署强大的去中心化应用程序（dApps）。

io.net is a decentralized GPU (distributed processing unit) network that provides on-demand compute resources for Web3. The project aims to offer a cost-effective, scalable and sustainable solution for AI training and other data-intensive applications.

io.net 是一个去中心化的 GPU（分布式处理单元）网络，为 Web3 提供按需计算资源。该项目旨在为人工智能培训和其他数据密集型应用提供经济高效、可扩展且可持续的解决方案。

Alpha Network, on the other hand, is the world’s first decentralized data execution layer for AI. It offers private data storage and AI training data for Web3 developers. The network provides a secure and privacy-preserving environment for AI training and execution.

另一方面，Alpha Network 是世界上第一个人工智能去中心化数据执行层。它为 Web3 开发人员提供私有数据存储和 AI 训练数据。该网络为人工智能训练和执行提供了安全且保护隐私的环境。

io.net to Support Alpha Network’s Privacy-Focused AI Data Layer

io.net 支持 Alpha Network 注重隐私的 AI 数据层

According to a press release shared with BeInCrypto, the plan is to create a secure, high-performance environment for AI and Web3 applications. io.net will use its decentralized GPU clusters to support AI training in a privacy-preserving environment, unlike traditional centralized setups.

根据与 BeInCrypto 分享的新闻稿，该计划旨在为 AI 和 Web3 应用程序创建一个安全、高性能的环境。与传统的集中式设置不同，io.net 将使用其去中心化 GPU 集群来支持隐私保护环境中的人工智能训练。

In simpler terms, Alpha Network will now be able to handle and process sensitive data needed for AI training in a way that’s safe and private. The network will no longer need to depend on traditional systems that require users to “trust” centralized providers like big data centers or cloud services.

简而言之，Alpha Network 现在将能够以安全和私密的方式处理人工智能训练所需的敏感数据。网络将不再需要依赖要求用户“信任”大数据中心或云服务等中心化提供商的传统系统。

Instead, by using io.net’s decentralized GPU network, Alpha Network can securely work with this data across a distributed network of computers. This decentralized approach eliminates the need for a “sandbox” (a controlled and isolated testing environment) while still ensuring the data remains private and protected.

相反，通过使用 io.net 的去中心化 GPU 网络，Alpha Network 可以跨分布式计算机网络安全地处理这些数据。这种去中心化的方法消除了对“沙箱”（受控和隔离的测试环境）的需求，同时仍然确保数据的私密性和受保护。

Moreover, Alpha Network’s Zero-Knowledge (ZK) technology guarantees that data is kept private and secure.

此外，Alpha Network的零知识（ZK）技术保证了数据的私密性和安全性。

“Our collaboration with Alpha Network will significantly expand access to decentralized, privacy-compliant AI compute for Web3 builders,” Tausif Ahmed, Chief Business Development Officer at io.net, commented.

io.net 首席业务开发官 Tausif Ahmed 评论道：“我们与 Alpha Network 的合作将显着扩大 Web3 构建者对去中心化、符合隐私的 AI 计算的访问范围。”

The collaboration also aims to support the development of decentralized applications with high-quality datasets. It offers a foundation for developers to build more scalable AI solutions.

此次合作还旨在支持具有高质量数据集的去中心化应用程序的开发。它为开发人员构建更具可扩展性的人工智能解决方案奠定了基础。

“This partnership will break new ground in secure AI and Web3 compute, allowing users to access cutting-edge AI infrastructure while ensuring privacy and security,” Lina Zhang, CEO of Alpha Network, added.

Alpha Network 首席执行官张丽娜补充道：“此次合作将在安全 AI 和 Web3 计算方面开辟新天地，让用户能够访问尖端的 AI 基础设施，同时确保隐私和安全。”

AI is the New Frontier for DePIN Projects

人工智能是 DePIN 项目的新领域

io.net said the partnership will also boost Alpha Network’s data sharding and model generation solutions, which optimize the training of AI models on large datasets. These improvements will allow developers and businesses to train AI models more efficiently.

io.net 表示，此次合作还将推动 Alpha Network 的数据分片和模型生成解决方案，从而优化大型数据集上人工智能模型的训练。这些改进将使开发人员和企业能够更有效地训练人工智能模型。

Despite recent developments, the DePIN project’s IO token has seen notable volatility in the market. At press time, the token was trading at $3, down about 6% over the last 24 hours.

尽管最近有所发展，DePIN 项目的 IO 代币在市场上仍然出现了明显的波动。截至发稿时，该代币的交易价格为 3 美元，在过去 24 小时内下跌了约 6%。

Nevertheless, io.net has made several deals over the last year to boost AI development. For instance, in December, io.net partnered with autonomous AI agent Zerebro. The agent will use io.net’s decentralized compute resources to enhance its Ethereum validator.

尽管如此，io.net 在过去一年中还是达成了几笔交易来促进人工智能的发展。例如，去年 12 月，io.net 与自主人工智能代理 Zerebro 合作。该代理将使用 io.net 的去中心化计算资源来增强其以太坊验证器。

Similarly, in September 2024, the DePIN project made an agreement with the TARS protocol to reduce AI model training costs by up to 30%.

同样，2024年9月，DePIN项目与TARS协议达成协议，将AI模型训练成本降低高达30%。

Overall, DePIN projects have increasingly ventured into AI throughout 2024. Recent research showed that DePIN projects saw a 100x growth in revenue last year. The majority of this growth was driven by AI initiatives.

总体而言，2024 年 DePIN 项目越来越多地涉足人工智能领域。最近的研究表明，DePIN 项目去年的收入增长了 100 倍。这一增长大部分是由人工智能举措推动的。