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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. In storage, the curve is similar, with growth from 5.7% of AI storage in 2022 to 30.5% Facts, it has been said, are stubborn things. It’s multimodal, but tiny.

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Prioritizing AI? Don’t shortchange IT fundamentals

CIO

Fundamentals like security, cost control, identity management, container sprawl, data management, and hardware refreshes remain key strategic areas for CIOs to deal with. When you think about all the blocking and tackling a CIO needs to do for regular applications, that especially applies to AI.”

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

CIO

Many of the world’s IT systems do not run on the latest and greatest hardware. This will continue due to the typical budget, spending, and equipment update cycles of everyone from the hyperscale cloud to small enterprise. Even in the age of AI, not every rack will be drawing 100 kW or need liquid cooling.

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Finally leverage edge by adopting an as-a-service approach

CIO

However, many organizations simply don’t have the resources or the expertise to build or manage the complex distributed systems required for effective edge computing delivery, a distributed computing paradigm that brings computation and data storage closer to the sources of data.

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Finally leverage edge by adopting an as-a-service approach

CIO

However, many organizations simply don’t have the resources or the expertise to build or manage the complex distributed systems required for effective edge computing delivery, a distributed computing paradigm that brings computation and data storage closer to the sources of data.

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The New Way Companies are Harnessing Data at the Edge for Value Added in Real-Time

CIO

But the monitoring BOaaS system reduces downtime by detecting interruptions before they occur so that remediation can happen before the equipment fails, while it is still running, and before any downtime is experienced – and the problem can often be resolved remotely.

IoT 317
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De-Risking Enterprise Storage Upgrades (Part 2)

Infinidat

De-Risking Enterprise Storage Upgrades (Part 2). Guest Blogger: Eric Burgener, Research Vice President, Infrastructure Systems, Platforms and Technologies, IDC. The first part of this blog post discussed common design approaches in enterprise storage that are used to de-risk upgrades. Innovative hardware redundancy.

Storage 52