A SNIA event
September 15-17, 2025

Evolving Storage for a New Generation of AI/ML

Tue Sep 13 | 3:05pm
Location:
Fremont A/B
Abstract

AI/ML is not new, but innovations in ML models development have made it possible to process data at unprecedented speeds. Data scientists have used standard POSIX file systems for years, but as the scale and need for performance have grown, many face new storage challenges. Samsung has been working with customers on new ways of approaching storage issues with object storage designed for use with AI/ML. Hear how software and hardware are evolving to allow unprecedented performance and scale of storage for Machine Learning.

Learning Objectives

  • High performance S3 and object storage at scale
  • How open source Samsung DSS stack can cater very high read band-width requirement of AI training storage
  • How to measure performance bottleneck and different storage back-end impact of different stages of AI training run

Download Presentation
Abstract

AI/ML is not new, but innovations in ML models development have made it possible to process data at unprecedented speeds. Data scientists have used standard POSIX file systems for years, but as the scale and need for performance have grown, many face new storage challenges. Samsung has been working with customers on new ways of approaching storage issues with object storage designed for use with AI/ML. Hear how software and hardware are evolving to allow unprecedented performance and scale of storage for Machine Learning.

Learning Objectives

  • High performance S3 and object storage at scale
  • How open source Samsung DSS stack can cater very high read band-width requirement of AI training storage
  • How to measure performance bottleneck and different storage back-end impact of different stages of AI training run

PDF icon SNIA-SDC22-Roy-Storage-for-New-Generation-of-AI-ML.pdf

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Somnath Roy
Samsung Semiconductor
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