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Hitting the wall with AI Infrastructure?

Hitting the wall with AI Infrastructure?

Gaining new insight to grow the business is a strong driver for adding artificial intelligenceArtificial Intelligence knows many different definitions, but in general it can be defined as a machine completing complex tasks intelligently, meaning that it mirrors human intelligence and evolves with time. () and to an organization’s IT capabilities. Organizations that don’t adopt these cognitive technologiesCognitive Technologies are another piece to the artificial intelligence puzzle. The technologies are able to perform tasks which until recently required a human. The said tasks can be anything from computer vision, to speech recognition or robotics.  to gain an advantage risk losing out to the competition. Many take the first step by experimenting with software on their existing infrastructure.

copyright by www.cio.com

SwissCognitiveNevertheless, at some point they are likely to “hit the wall”—that is, they run out of infrastructure performance in much the same way even a well-conditioned marathoner may run out of energy before reaching the finish line. According to a recent IDC survey, 77.1 percent of respondents say they ran into one or more limitations with their on-premises infrastructure. And 90.3 percent of users running cognitive technology in the cloud ran into these same kinds of limitations.

performance challenges

and are extremely demanding on server infrastructure. They require powerful parallel processing, and we think investigating new solutions during the early experimental phase of development is critical for infrastructure teams. The same IDC survey shows that businesses take a variety of paths as they carry out experimentation. For example, some develop their solution in a virtual machine (VM) and then migrate to a dedicated server. Others start a proof of concept (PoC) on a partition of a scale-up system and then opt to move to a server cluster.

We believe that choosing the right server hardware plays a decisive role. According to the IDC white paper cited above, responses from businesses running applications indicate that a cluster of single and dual-socket servers with high, per-core performance and I/O parameters combined with accelerators such as GPUs are well suited as infrastructure configuration for cognitive applications. Scaling these accelerated compute nodes is not as straightforward as just scaling CPUs. As a result, businesses need to look for a server vendor that is knowledgeable about scaling for applications. […]

  1. SwissCognitive

    Hitting the wall with AI Infrastructure?
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  2. SwissCognitive

    Hitting the wall with AI Infrastructure?
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  3. S.Banerjee

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  4. S.Banerjee

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  5. Consulting Tech

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  6. Consulting Tech

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  7. Michael Schubert

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  8. Michael Schubert

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  9. Michael Schubert

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  10. Mario Andretti

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  11. Mario Andretti

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  12. Mario Andretti

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  13. digitalswitzerland

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  14. digitalswitzerland

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  15. digitalswitzerland

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  16. Edtech Switzerland

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  17. Edtech Switzerland

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  18. MancML

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  19. MancML

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  20. MancML

    ‘Hitting the wall with AI Infrastructure?’ – https://t.co/K4QhNifN95

  21. L

    Hitting the wall with #AI Infrastructure? “AI and deep learning are extremely demanding on server infrastructure.”… https://t.co/Joz958udmK

  22. L

    Hitting the wall with #AI Infrastructure? “AI and deep learning are extremely demanding on server infrastructure.”… https://t.co/Joz958udmK

  23. L

    Hitting the wall with #AI Infrastructure? “AI and deep learning are extremely demanding on server infrastructure.”… https://t.co/Joz958udmK

  24. Dalith Steiger

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  25. Dalith Steiger

    Hitting the wall with AI Infrastructure?
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  26. ANDY FITZE

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  27. ANDY FITZE

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  28. ANDY FITZE

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  29. ANDY FITZE

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  30. Khairuddin

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  31. Khairuddin

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  32. Khairuddin

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  33. HighTechPro

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