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  • Cloud services overview: Pursuing a new business model

    Developing a cloud services practice is no easy feat. In this guide, we offer considerations for business model transitions, service offerings and partner networks you can join. Continue Reading

  • Not playing games: The GPU vs. CPU question gets more interesting

    Putting thousands of cores to work makes perfect sense when you're powering a video game. But graphics processing units, or GPUs, can't serve much practical purpose in a corporate data center, can they?

    The GPU vs. CPU discussion isn't as odd as it sounds. In fact, a more broad application of GPUs in the data center can provide the processing punch that CPUs simply cannot. With tasks where data can be processed in parallel rather than in sequence, GPUs might be a particularly valuable tool. The cover story in this issue of Modern Infrastructure looks at scenarios where simultaneous processing can be just what's needed, such as with machine learning and artificial intelligence.

    This month's Modern Infrastructure also looks at how data can be protected while in the data center. Full encryption is seemingly a perfect defense for data theft. But that's a difficult -- and, to some, an unrealistic-- road to travel. We look at how an IT team can better safeguard its data, factoring in costs, the tools available and the tradeoffs involved in hack-proofing an organization's data.

    And what about the vulnerabilities that arise from within your business? We examine the risk of data loss posed by the shadow IT phenomenon, an ongoing and ever-changing challenge.

    It's clear that data is an increasingly valuable resource. Processing it and keeping it safe -- whether that entails taking up the question of GPU vs. CPU for certain workloads or upgrading encryption -- need to be priorities for IT professionals in organizations of all sizes and types.

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  • Bimodal IT innovates without risk

    One of the simplest ways to describe the responsibilities of an IT professional is to say they ensure the disparate parts and pieces of the infrastructure work well together. On any given day, you'll find administrators and engineers matching application needs to physical resources, sorting out compatibility requirements or simply making sure users have access to the right systems and not to the wrong ones.

    When new technologies or strategies emerge, IT professionals naturally want to know how the new thing can best integrate with what they already have rather than throwing the baby out with the bathwater. A rip-and-replace approach is not only disruptive, but it can also be wasteful and time-consuming. One such example is the adoption of bimodal IT, where companies maintain two independent modes of delivering IT services. In "Not so fast," contributor Alan Earls explores how companies are using a bimodal approach to balance the need to maintain stable systems with ever-growing demands to innovate. However, accommodating new technologies or processes by creating a separate delivery pipeline can also be problematic.

    When two seemingly competing technologies actually work better together, it's a welcome relief to IT professionals engaged in the daily struggle to make the pieces fit together.

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