AI infrastructure

Enterprises investing in deep learning platforms need AI infrastructure sufficient enough to synthesize a massive amount of data. Here, you'll find the information you need to make decisions about AI-specific compute architectures -- from GPU-packed servers to highly-scalable clustered computing systems built for big data and machine learning applications.

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AI infrastructure News

  • November 18, 2021 18 Nov'21

    Why optimizing machine learning models is important

    A look at why AI needs optimization and how it speeds up inferencing, helps deploy models on small devices and reduces memory footprint.

  • November 12, 2021 12 Nov'21

    Predictive analytics vs. machine learning

    Machine learning lends itself to various applications, while predictive analytics focuses on forecasting specific variables and scenarios. Learn what they can do when combined.

  • September 23, 2021 23 Sep'21

    SambaNova makes a mark in the AI hardware realm

    The startup says it is innovating AI hardware systems with its data flow architecture that enterprises can use to be more efficient when processing large AI data sets.

  • September 23, 2021 23 Sep'21

    A look at AI trends and bias in AI algorithms

    In the past few years, more and more organizations have focused on AI. However, just as the use of AI and machine learning has expanded, concern about AI bias is also growing.

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