Training Deep Learning Models in the Cloud - Infrastructure Considerations and Best Practices

Training Deep Learning Models in the Cloud - Infrastructure Considerations and Best Practices

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Training Deep Learning Models in the Cloud - Infrastructure Considerations and Best Practices

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  1. 1 Introduction
  2. 2 Industry Trends
  3. 3 AI by Enterprises
  4. 4 Storage and Compute
  5. 5 Ecosystem
  6. 6 Training and Deployment
  7. 7 Network Interfaces
  8. 8 Middleware Stack
  9. 9 Software
  10. 10 Preprocessing
  11. 11 Summary
  12. 12 Questions
  13. 13 What is GDR
  14. 14 Dual Approach
  15. 15 GPU Direct RDMA
  16. 16 Storage Needs
  17. 17 Training Methods
  18. 18 Network Usage
  19. 19 Collective Operations
  20. 20 Optane Persistent Memory

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