AWS, Google Cloud, UC Berkeley, QuickNode, and Together AI Join Over 40 Ecosystem Partners
This article is provided by Sahara AI and does not represent Wu Blockchain's perspective
Behind the Rapid Development of AI, the Issue of Value Attribution Gradually Emerges
In the global wave of AI's rapid development, the construction of artificial intelligence relies on extensive human collaboration, while key elements such as data, labels, and feedback remain unclear, lacking effective tracking, rights confirmation, and incentive mechanisms.
In the past, AI was viewed more as a technological achievement; now, it is evolving into a distributed productivity based on extensive collaboration. This has sparked discussions about participants' contributions, ownership, and benefit distribution.
Unlike Web3 packaging around existing AI tools, Sahara AI has sought to establish a completely new intelligent asset order since its inception - where key assets such as data, models, and intelligent agents can be registered, authorized, verified, and profit-shared, forming the "on-chain property layer" and "value distribution layer" of the AI era.
Sahara Launches SIWA Testnet
On May 19, 2025, Los Angeles time, Sahara AI officially launched its public test network SIWA, providing developers with on-chain rights confirmation and monetization channels for AI assets such as data and models. During the previous private testing phase, the platform's total user count reached 3.2 million, with over 1.4 million daily active users.
The initial functions of the SIWA testnet focus on decentralized data rights confirmation, allowing users to independently register datasets and obtain traceable, valuatable, and profit-sharable data credentials, addressing the problem of ownership missing in traditional AI data.
Sean Ren, Co-founder and CEO of Sahara AI, stated: "Sahara aims to bring a more fair and transparent collaboration method to the AI field. Our data service platform has generated actual revenue and distributes earnings to users. SIWA will further support developers and users in building the AI ecosystem."
The future protocol roadmap includes three stages: revenue licensing, revenue distribution mechanism, and automatic income sharing system.
In this public test, Sahara AI introduced over 40 new ecosystem partners, including AWS, Google Cloud, UC Berkeley, Together AI, and QuickNode. Additionally, Sahara has established cooperative relationships with institutions such as Microsoft, Amazon, Snap, MIT, and USC.
Vipul Ved Prakash, Co-founder and CEO of Together AI, said: "Computing resources are key to future Web3 AI infrastructure. We will fully support Sahara's developer platform, providing users with convenient intelligent model deployment capabilities."
Sahara AI will also successively launch AI Developer Platform, AI Marketplace, and Data Service Platform (DSP). The public test of the Data Service Platform is scheduled to begin on May 27, offering distributed data collection, review, and incentive mechanisms, and has achieved efficient data processing.
About Sahara AI
Sahara AI is the world's first AI-native full-stack Web3 platform, dedicated to accelerating a future driven by artificial intelligence - participating in construction, contributing value, and obtaining returns from artificial intelligence, open and accessible to all. Supported by Sahara Blockchain, it has gained cooperation and support from renowned institutions such as Microsoft, Amazon, and MIT.
