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📅 Event Period: Sept 18, 2025, 18:00 – Sept 25, 2025, 24:00 (UTC+8)
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FLock.io Partners with Alibaba Cloud on Advanced AI Model Co-Creation
Press Release
FLock.io, the private AI training platform, has announced a collaboration with Alibaba Cloud, the digital technology and intelligence backbone of Alibaba Group, to harness Alibaba Cloud's Large Language Model(LLM) Qwen and cloud technologies to create advanced AI models for both domain-specific and general purposes.
Under the collaboration, FLock.io will create various AI models utilizing infrastructure and products from Alibaba Cloud. In the future, both sides will leverage their technical expertise to explore research opportunities and use cases in AI fields.
Beyond technical integration, FLock.io will cooperate with Alibaba Cloud to facilitate joint research initiatives, leveraging the collective knowledge and resources to explore new applications in both centralized and decentralized artificial intelligence.
Qwen, developed by Alibaba Cloud, is one of the most advanced open-source LLMs available today. Since its debut in April 2023, Qwen has been adopted by over 290,000 enterprises across industries, from automotive, manufacturing, and finance to gaming, healthcare, and robotics. Accessible via Alibaba Cloud's generative AI development platform Model Studio, Qwen has been embraced by global businesses and developers.
About FLock.io
FLock.io is the first decentralized AI training platform, combining Federated Learning and blockchain to revolutionize AI development. It enables secure, privacy-preserving training without centralizing data, allowing communities to collaboratively create, train, and own AI models.
FLock.io’s ecosystem consists of three key components: AI Arena, a platform for competitive model training; FL Alliance, a privacy-focused collaboration framework that enhances models while preserving data sovereignty; and Moonbase, a decentralized platform that hosts and refines AI models, rewarding contributors and driving the growth of the DeAI ecosystem.
Users can learn more at FLock.io.