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5 Lessons for Improving Training Performance – Johnny Dahlberg, Pure Storage

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Learn the best practices for performance analytics and maintenance of a deep learning system. As GPU technology continues to advance, the demand for faster data continues to grow. In deep learning, input pipelines are responsible for a complex chain of actions that ultimately feed data into GPU memory, including reading from storage and pre-processing data. These pipelines bring together multiple hardware systems, networking, CPUs, and storage along with sophisticated software systems to drive the data movement and transformation.

Key Takeaways

  • AI is a Data Pipeline
  • Don’t Throw Your Data into Data Lake
  • Cloud or Not to Cloud?

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