The Artificial Superintelligence (ASI) Alliance, recently formed by Fetch.ai (FET), SingularityNET (AGIX) and Ocean Protocol (OCEAN), has announced the addition of a fourth member.
(@ASI_Alliance)
According to a press release from today (September 11, 2024), Cudos ($CUDOS), a decentralised cloud computing provider, will be added to the Alliance pending community approval.
CUDOS To Be The Fourth Member Of The ASI Alliance, Pending Community Approval
The addition of Cudos as the alliance’s fourth member will be decided by a vote scheduled for September 19 and will run until September 24. If approved, a merger take place between the CUDOS and FET tokens.
The potential addition of Cudos to the ASI alliance would add decentralised cloud computing network capabilities to the group. It aims to leverage its advanced graphic processing units (GPUs) to boost AI processing.
According to the press release, the reason for adding Cudos to the Alliance is to boost its computing power while reducing reliance on centralised providers such as Amazon (AWS).
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Cudos’ Founder & The ASI Chairman Both Speak On The Potential Partnership
🚀 CUDOS has BIG news! @CUDOS_ proposal to merge with Artificial Superintelligence #FET is out! 🌐 This groundbreaking collaboration merges compute power with AI innovation to accelerate the development of decentralized Artificial General Intelligence (AGI). Ready to shape the… https://t.co/el8MfTXujV
— Matt Hawkins (@HawkinsTech) September 11, 2024
Matt Hawkins, founder of Cudos has spoken on the partnership.
He said, “The Artificial Superintelligence Alliance is the largest AI blockchain alliance, and CUDOS is the most advanced real-world and blockchain computer network. Together we have an unprecedented opportunity to build the largest vertically integrated decentralized AI technology stack.”
In the same statement, the ASI Chairman and CEO of Fetch.ai, Humayun Sheikh, spoke on the news.
He said, “This collaboration, pending community approval, will unlock unprecedented computing power and innovation potential, enabling us to build robust revenue models and capitalize on the equipment we’ve developed”.
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