
Cluster Partners with ICB Network to Power AI-Native Infrastructure for the Next Internet
Cluster partners with ICB Network to merge AI-driven orchestration with next-gen blockchain infrastructure.
Cluster partners with ICB Network to merge AI-driven orchestration with next-gen blockchain infrastructure.
In decentralized AI, the next frontier is not just about building agents, it's about making them intuitive, composable, and distributable.
We're excited to announce that Cluster Protocol is teaming up with Bella Protocol, a pioneer in simplifying crypto trading and yield optimization across chains.
In the rapidly evolving world of Artificial Intelligence, access to reliable, high-performance compute and high-quality datasets remains a critical bottleneck and these challenges are amplified in the decentralized AI space, where transparency, accessibility, and scalability are foundational.
AI is getting smarter, more integrated, and harder to live without. From writing our emails, schedules our meetings, generates our code, and even recommends what we should watch or buy next. But every AI assistant, chatbot, or automation tool we use comes with an invisible tradeoff: **privacy**.
AI innovation is growing fast. But compute access isn't. Today, most AI builders are stuck with Sky-high GPU costs, limited access to high-end hardware & Vendor lock-ins with cloud monopolies.
AI is often dubbed as the internet of our age or the next big “thing” in the history of humankind, yet the full potential of AI remains elusive. While AI excels in specific applications, it is still not capable of handling critical global transactions or making high-stakes decisions without human oversight.
Web3 isn't just about decentralizing money or infrastructure, it's about decentralizing trust. As AI becomes more autonomous, we face a key challenge: How do we ensure these agents work on reliable, verifiable knowledge rather than hallucinated noise?
Creators’ Work is Exploited: AI models are trained on millions of copyrighted books, artworks, and research papers and none of it licensed, and none of it compensated.
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