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Will decentralized protocols become the future infrastructure of machine learning?
AI and machine learning compute networks built on decentralized infrastructure could allow the onboarding of significant hardware resources worldwide.
Booming interest in artificial intelligence (AI) and machine learning (ML) has led to a shortage of hardware resources and exorbitant cloud service costs, but decentralized infrastructure could challenge the dependence on centralized players.
Harry Grieve, co-founder of machine learning compute network Gensyn, spoke exclusively to Cointelegraph during the ETHGlobal event in London about the promise of peer-to-peer computing networks challenging Web2 services like Amazon Web Services.
Gensyn is an in-development decentralized network that will enable people to connect to various devices across the internet to train machine learning models. The company is backed by several Web3 venture capital firms and raised $50 million from Andreessen Horowitz in 2023.
Grieve says the network holds significant potential as the internet changes to a more dynamic representation of information that will empower “self-sovereignty and computational liberty online.”
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