Nasdaq-listed Iris Power has purchased 248 cutting-edge Nvidia H100 GPUs for $10 million because it appears to discover alternatives in generative AI along with its core enterprise deal with Bitcoin mining.
The agency expects to obtain supply of the 248 GPUs within the coming months and plans to deploy the {hardware} to serve alternatives in cloud computing.
Iris Power co-founder and co-CEO Daniel Roberts mentioned the corporate was seeking to leverage its present information facilities into serving generative AI computing necessities.
“We consider demand for sustainable computing is unlikely to go away, and really feel we’re uniquely positioned to seize ongoing development within the broader trade; whether or not that be ASICs for Bitcoin mining, or GPUs for generative AI and past.”
Iris Power operates in areas which have an abundance of renewable power together with wind, photo voltaic, hydro and has arrange its modular information facilities close by to the supply of low-cost extra renewable power to be monetized for Bitcoin.

In line with the Iris Power web site, it has 4 main information middle mining amenities, together with Canal Flats, Mackenzie and Prince George in Canada’s British Columbia in addition to its Childress web site in Texas.
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Renewable-powered Bitcoin mining operations proceed to draw funding, with Genesis Digital Belongings Restricted opening a brand new information centre in Sweden in August 2023 that may function off plentiful energy from the close by Porjus Hydroelectric Energy Station.
In the meantime Blockstream just lately introduced its intent to raise up to $50 million in an official funding observe to buy, retailer after which promote BTC mining {hardware} forward of Bitcoin’s subsequent halving occasion in 2024.
GPU {hardware} producer Nvidia has additionally seen important windfall from the rise of AI-powered instruments and AI computing, with its complete market capitalization eclipsing $1 trillion in May 2023.
Nvidia additionally recently teased its next-generation GH200 Grace Hopper Superchip which is touted to have the ability to course of complicated generative AI workloads, includling massive language fashions, recommender programs and vector databases.
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