The Artificial Superintelligence Alliance, a collective that Ocean Protocol, Fetch.ai, and SingularityNET recently formed, has disclosed an exclusive development. As per the Artificial Superintelligence Alliance, the group intends to add CUDOS as the fourth member of the alliance. CUDOS is a prominent platform in the field of disseminated AI computing. However, the addition of this new member in the Alliance is subject to a vote by the community. The platform took to its official social media account to disclose this proposal.
ASI Alliance Unveils a Proposal to Integrate CUDOS with Merging Its Token into FET
In its latest X post, ASI shared a comprehensive article to offer insights into this endeavor. It mentioned that the integration includes the merger of the $CUDOS coin into the Artificial Superintelligence Alliance coin $FET. This will unify the networks that come under one ecosystem. The respective development is presently waiting for approval from the communities of both entities.
ASI noted that the voting will begin on the 19th of this month while the 24th will be its closing date. Formerly during this year, SingularityNET and Fetch.ai announced a mutual investment of up to $153M in hardware related to GPUs. This established a critical foundation for the mission of the Alliance. Hence, it offers the computational power that big-scale machine learning and AI applications require.
The Endeavor Offers Cutting-Edge GPU Access, Enhanced Efficiency, and Minimized Risks
With the integration of the worldwide disseminated computing network of CUDOS, the Alliance can access numerous exclusive AI GPUs. They include the latest Nvidia Blackwell GB200s, substantially boosting the computing power thereof for AI innovations in the decentralized sector. The respective integration improves the scalable computing within the Alliance.
It also decentralizes the infrastructure, increasing effectiveness while minimizing security vulnerabilities, bottlenecks, and other such risks. The cloud model of CUDOS provides substantial benefits over the conventional centralized approaches. They take into account enhanced flexibility, cost-efficiency, and scalability.
