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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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Scale Computing secures $55M to help companies manage edge infrastructure

TechCrunch

Edge computing is seeing an explosion of interest as enterprises process more data at the edge of their networks. Managing a fleet of edge devices across locations can be a burden on IT teams that lack the necessary infrastructure. ” Those are lofty promises. ” Those are lofty promises. . ” Those are lofty promises.

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Cloud storage startup Wasabi raises $250M to reach unicorn status

TechCrunch

Two at the forefront are David Friend and Jeff Flowers, who co-founded Wasabi, a cloud startup offering services competitive with Amazon’s Simple Storage Service (S3). Wasabi, which doesn’t charge fees for egress or API requests, claims its storage fees work out to one-fifth of the cost of Amazon S3’s.

Storage 224
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As AI scales, infrastructure challenges emerge

CIO

There might be an extra cost for the new functionality, though, but the vendors are the ones dealing with any potential infrastructure challenges. And that means companies have to invest in infrastructure for training and deploying these systems. That meant that the company had to do some serious infrastructure work.

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AI meets and beats enterprise networking challenges

CIO

Change is a constant source of stress on enterprise networks, whether as a result of network expansion, the ever-increasing pace of new technology, internal business shifts, or external forces beyond an enterprise’s control. Say a fiber optic cable gets damaged and creates a connection issue between a switch and a storage device.

Network 174
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MetalSoft aims to help manage server infrastructure through automation

TechCrunch

It’s tough in the current economic climate to hire and retain engineers focused on system admin, DevOps and network architecture. Unfortunately for execs, at the same time recruiting is posing a major challenge, IT infrastructure is becoming more costly to maintain.

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Data center design in the age of AI: Integrating AI with legacy Infrastructure

CIO

There are major considerations as IT leaders develop their AI strategies and evaluate the landscape of their infrastructure. This blog examines: What is considered legacy IT infrastructure? How to integrate new AI equipment with existing infrastructure. Evaluating data center design and legacy infrastructure.