Photon and Intel AI Kit for Databricks Quiz
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Questions and Answers

True or false: Intel's 3rd Generation Xeon Scalable processors with Photon enabled can result in a 3.1x price performance improvement.

True

What is the maximum improvement when using 3rd Generation Intel Xeon Scalable processors formerly codenamed Ice lake processors with Photon?

  • 3.1x
  • 4.2x
  • 6.7x (correct)
  • 108x
  • True or false: The AI Kit supports the libraries from open-source distribution by default.

    True

    What type of software is the AI Kit intended for?

    <p>All of the above</p> Signup and view all the answers

    True or false: Databricks Data Lakehouse architecture can be used to accelerate query processing.

    <p>False</p> Signup and view all the answers

    How can the Photon Engine be used to accelerate query processing?

    <p>By leveraging Intel's optimized libraries</p> Signup and view all the answers

    Study Notes

    • Photon is a new technology that accelerates the processing of data on Databricks platforms.
    • Photon enables the processing of multiple data elements into a single instruction set, which can improve the performance of certain tasks.
    • When you enable Photon on a processor, you can get a speed up.
    • When you move to a newer generation processor, you can get a much higher speed up.
    • For example, when you use 3rd Generation Intel Xeon ScaIable processors formerly codenamed Ice lake processors, you get up to 6.7x improvement.
    • When you add the cost of using Photon and the cost of moving to a newer generation processor, this affects your price performance.
    • For example, when you go from an older generation Intel processor without Photon to a 3rd Generation Intel Xeon Scalable processor with Photon, there is up to a 3.1x price performance improvement.
    • The AI Kit gives data scientists, AI developers, and researchers familiar with Python* tools and frameworks to accelerate end-to-end data science and analytics pipelines on Intel architecture.
    • By leveraging Intel's optimized libraries with the Databricks runtime for Machine Learning, you can accelerate the processing times.
    • The AI Kit supports the libraries from open-source distribution by default.
    • Intel has created optimized versions of the popular open-source AI libraries to take advantage of the silicon features to accelerate processing.
    • Databricks offers a variety of machine learning libraries and frameworks that can be accelerated with the help of Intel processors.
    • Benchmarks showed an almost 108x improvement for one of the algorithms within the Scikit-learn framework.
    • Within TensorFlow, there was an average of 2x performance improvements in training and inference.
    • Databricks Data Lakehouse architecture can be used to enable broad set of use cases such as data engineering, data analytics, and AIML.
    • The Photon Engine can be used to accelerate query processing, and the Intel OneAPI AI-Kit can be used to accelerate the performance of popular machine learning frameworks.

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    Description

    Test your knowledge about the benefits of using Photon technology and Intel AI Kit for accelerating data processing and machine learning on Databricks platforms. Explore how these technologies improve performance and price-performance ratios, as well as their impact on various machine learning frameworks and data science workflows.

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