PowerScale Deep Learning Infrastructure with NVIDIA DGX A100 Systems for Autonomous Driving

• 1

  Overview
• 2

  Revisions
• 3

  We value your feedback

• 1

  ADAS development cycle
• 2

  Challenge of DL training workload for ADAS

• 1

  Introduction to key components
• 2

  PowerScale storage for DL
• 3

  NVIDIA DGX A100 system
• 4

  NVIDIA A100 GPU
• 5

  NVIDIA NGC

• 1

  Introduction to reference architecture
• 2

  ADAS deep learning reference architecture
• 3

  Autonomous drive ecosystem

• 1

  Introduction to design considerations
• 2

  Datasets preparation
• 3

  Data ingestion and data management
• 4

  Data transform
• 5

  Data model training
• 6

  Infrastructure

• 1

  Introduction to ADAS DL training performance and analysis
• 2

  ADAS dataset and CNN models
• 3

  Hardware and software configuration
• 4

  Test methodology
• 5

  Test results and performance analysis

• 1

  DL training key considerations
• 2

  Summary

• 1

  Technical support and resources