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這種合作關係可能為人工智慧應用程式提供一個安全且私密的環境,幫助開發人員建立和部署強大的去中心化應用程式(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.
資料隱私和去中心化基礎設施網路 io.net 已與 Alpha Network 正式合作,以提高基於 AI 的 Web3 應用程式的資料安全性和存取能力。
This partnership will potentially provide a secure and private environment for AI applications, helping developers build and deploy powerful decentralized applications (dApps).
這種合作關係可能為人工智慧應用程式提供一個安全且私密的環境,幫助開發人員建立和部署強大的去中心化應用程式(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 是一個去中心化的 GPU(分散式處理單元)網絡,為 Web3 提供按需運算資源。該計畫旨在為人工智慧培訓和其他數據密集型應用提供經濟高效、可擴展且可持續的解決方案。
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 是世界上第一個人工智慧去中心化資料執行層。它為 Web3 開發人員提供私人資料儲存和 AI 訓練資料。該網路為人工智慧訓練和執行提供了安全且保護隱私的環境。
io.net to Support Alpha Network’s Privacy-Focused AI Data Layer
io.net 將支援 Alpha Network 注重隱私的 AI 資料層
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.
根據與 BeInCrypto 分享的新聞稿,該計劃旨在為 AI 和 Web3 應用程式創建一個安全、高效能的環境。與傳統的集中式設定不同,io.net 將使用其去中心化 GPU 叢集來支援隱私保護環境中的人工智慧訓練。
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.
簡而言之,Alpha Network 現在將能夠以安全且私密的方式處理人工智慧訓練所需的敏感資料。網路將不再需要依賴要求用戶「信任」大數據中心或雲端服務等中心化供應商的傳統系統。
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,透過使用 io.net 的去中心化 GPU 網絡,Alpha Network 可以跨分散式電腦網路安全地處理這些資料。這種去中心化的方法消除了對「沙箱」(受控和隔離的測試環境)的需求,同時仍確保資料的隱私和受保護。
Moreover, Alpha Network’s Zero-Knowledge (ZK) technology guarantees that data is kept private and secure.
此外,Alpha Network的零知識(ZK)技術保證了資料的隱私和安全性。
“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 首席業務開發官 Tausif Ahmed 評論道:“我們與 Alpha Network 的合作將顯著擴大 Web3 構建者對去中心化、符合隱私的 AI 計算的訪問範圍。”
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.
此次合作也旨在支援具有高品質資料集的去中心化應用程式的開發。它為開發人員建立更具可擴展性的人工智慧解決方案奠定了基礎。
“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 執行長張麗娜補充道:“此次合作將在安全 AI 和 Web3 計算方面開闢新天地,讓用戶能夠訪問尖端的 AI 基礎設施,同時確保隱私和安全。”
AI is the New Frontier for DePIN Projects
人工智慧是 DePIN 計畫的新領域
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,此次合作也將推動 Alpha Network 的資料分片和模型生成解決方案,從而優化大型資料集上人工智慧模型的訓練。這些改進將使開發人員和企業能夠更有效地訓練人工智慧模型。
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.
儘管最近有所發展,DePIN 計畫的 IO 代幣在市場上仍然出現了顯著的波動。截至發稿時,該代幣的交易價格為 3 美元,在過去 24 小時內下跌了約 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.
儘管如此,io.net 在過去一年中還是達成了幾筆交易來促進人工智慧的發展。例如,去年 12 月,io.net 與自主人工智慧代理 Zerebro 合作。該代理將使用 io.net 的去中心化計算資源來增強其以太坊驗證器。
Similarly, in September 2024, the DePIN project made an agreement with the TARS protocol to reduce AI model training costs by up to 30%.
同樣,2024年9月,DePIN計畫與TARS協議達成協議,將AI模型訓練成本降低高達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.
總體而言,2024 年 DePIN 計畫越來越多地涉足人工智慧領域。這一增長大部分是由人工智慧舉措推動的。
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