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KREA partners with io.net to access Nvidia’s GPUs

Published 04/04/2024, 12:32
Updated 04/04/2024, 12:38
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Decentralized computing specialist io.net has teamed up with AI image and video platform KREA in a notable collaboration for AI-powered multimedia creation, Investing.com has learned.

The partnership expands KREA's client base, which already counts industry giants like Nike (NYSE:NKE), Apple (NASDAQ:AAPL), FC Barcelona, Publicis Group, and Meta (NASDAQ:META), giving them access to computational capabilities for their AI initiatives.

“In onboarding GPU providers and consumers, io.net is powering a two-sided network for compute. In addition to allowing AI-based startups to flourish, this arrangement ensures that idle computing power is used efficiently, allowing GPU owners such as crypto miners to maximize revenue. io.net ultimately aims to create a network of one million GPUs, allowing its clients to complete AI/ML computational tasks on demand,” the statement reads.

KREA stands out in the generative art field, offering a platform that enables users to quickly and easily create AI-powered images and videos. This functionality is made possible through the incorporation of more than 2,500 machine learning models, meeting the needs of leading design agencies and international brands. 

The partnership aims to address the challenges KREA faces due to the global shortage of GPUs, essential for computing in AI operations. Specifically, io.net will supply KREA with NVIDIA (NASDAQ:NVDA) A100-80Gs GPUs, supported on Kubernetes, a framework commonly used by machine learning engineers. 

This arrangement is expected to boost KREA's ability to process high-quality multimedia content to facilitate rapid scaling and meet the increasing demands of its network. The partnership also highlights io.net's capability to deliver GPU compute resources at competitive rates. 

KREA will have access to NVIDIA A100-80GB clusters at a cost of $0.89 per hour, which is nearly 70% less than the average market rate of $3 per hour. This pricing strategy is said to keep AI platforms competitively positioned in the market by reducing operational costs.

io.net has developed a decentralized network of over 300,000 GPU suppliers from 139 countries, forming the world’s largest Decentralized Physical Infrastructure Network (DePIN) focused on AI. This network provides cost-effective and scalable computing solutions to encourage the use of idle computing power and enable GPU owners to optimize their revenue.

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