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.
Evolving Storage for a New Generation of AI/ML
Tue Sep 13 | 3:05pm
Location:
Fremont A/B
Abstract
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
---
Somnath Roy
Samsung Semiconductor
Related Sessions