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Use AI tools to simplify operations inside your data center

AI is a cornerstone technology that will be part of future-proofing the data center. It will control operations like cooling, network optimization and configuration management.

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How to understand advancements in modern data centers

Data center advancements are rapidly occurring with storage demand. Some advancements, like an increase in temperatures, are necessary for more sustainable data center operations.

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Guide to lift-and-shift data center migration

The lift-and-shift approach moves an app and its data from one environment to another. Understanding the pros and cons can help a data center admin decide on proper strategies.

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Importance of backup generator power for data centers

Data center generators are rarely run; however, they must go through regular testing and maintenance to ensure they work when a power outage occurs to prevent server downtime.

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Data Center Basics

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    converged infrastructure

    Converged infrastructure, sometimes called 'converged architecture,' is an approach to data center management that packages compute, networking, servers, storage and virtualization tools into a prequalified set of IT hardware.

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    Use Glances to monitor your data center systems

    Glances is a real-time, Python-based performance monitor. Administrators with data centers that house multiple OSes should consider installing Glances.

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    workload

    In computing, a workload is typically any program or application that runs on a computer.

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  • Data center hardware and strategy

    Nvidia partners, customers drive AI into data centers

    Nvidia and its partners are providing the tools and infrastructure to build and deploy AI applications that companies say could transform their businesses.

  • Data center hardware and strategy

    Astera Labs uses CXL to accelerate AI, expand memory

    Astera Labs is using the CXL interface in its now longer Smart Cable Module to spread out energy consumption while enabling GPU clusters to meet growing AI demands.

  • Data center hardware and strategy

    Where AI and quantum computing meet

    Quantum computing may be years away from practical enterprise applications, but it's getting closer. We talked with IBM's quantum adoption leader to see where we're at right now.

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