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Getting infrastructure right for generative AI

CIO

For generative AI, a stubborn fact is that it consumes very large quantities of compute cycles, data storage, network bandwidth, electrical power, and air conditioning. But while the payback promised by many genAI projects is nebulous, the costs of the infrastructure to run them is finite, and too often, unacceptably high.

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Spatial Labs, a web3 infrastructure and hardware company, closes $10M seed round

TechCrunch

Spatial Labs , a web3 infrastructure and hardware company, announced today the closing of a $10 million seed round led by Blockchain Capital with participation from Marcy Venture Partners, the firm co-founded by Jay-Z. Per Crunchbase data, only 1% of all VC funds were allocated to Black founders last year; out of the $21.5

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5 things CIOs must understand about AI infrastructure

CIO

But getting from potential to profitability does not come without risks, such as assuming that your established processes for deploying mainstream enterprise IT infrastructure will work in the new era of complex AI superclusters. A solid technology infrastructure has always been essential. Yet, AI systems don’t operate the same way.

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MetalSoft aims to help manage server infrastructure through automation

TechCrunch

Unfortunately for execs, at the same time recruiting is posing a major challenge, IT infrastructure is becoming more costly to maintain. MetalSoft allows companies to automate the orchestration of hardware, including switches, servers and storage, making them available to users that can be consumed on-demand.

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Spinning out from the cryptocurrency hardware developer Bitfury, LiquidStack pitches a data center cooling tech

TechCrunch

Data centers and bitcoin mining operations are becoming huge energy hogs , and the explosive growth of both risks undoing a lot of the progress that’s been made to reduce global greenhouse gas emissions. Later, the companies jointly deployed 160 megawatts of two-phase immersion-cooled data centers. billion last year.

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Innovative data integration in 2024: Pioneering the future of data integration

CIO

In the age of big data, where information is generated at an unprecedented rate, the ability to integrate and manage diverse data sources has become a critical business imperative. Traditional data integration methods are often cumbersome, time-consuming, and unable to keep up with the rapidly evolving data landscape.

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Mainframe data: hybrid cloud object store vs. tape

CIO

But while mainframes have advanced, most organizations are still storing their mainframe data in tape or virtual tape libraries (VTL). Stakeholders need mainframe data to be safe, secure, and accessible — and storing data in these archaic environments accomplishes none of these goals.

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