Главная
Study mode:
on
1
Intro
2
DSS: Performant & Scalable Object Storage
3
DSS Enhanced Minio Object-Store
4
Reference Minio + DSS deployment model for AMD
5
DSS Client Wrapper
6
DSS Deployment View
7
DSS GET Performance
8
Al Benchmarking Tool
9
Benchmarking on the pipeline
10
Reproduced the Baseline numbers in MSL Lab
11
Benchmark Topology and Configuration (DSS)
12
BeeGFS vs DSS Gen2 - DGX Client Peak BW Tests
Description:
Explore how storage systems are evolving to meet the demands of modern AI/ML workloads in this 36-minute conference talk from the Storage Developer Conference 2022. Discover Samsung's innovative approach to addressing storage challenges through specialized object storage solutions designed for machine learning applications. Learn about high-performance S3 capabilities, the open-source Samsung DSS stack's ability to handle intensive AI training storage requirements, and methods for identifying performance bottlenecks across different storage backends. Gain insights into DSS Enhanced Minio Object-Store implementation, reference deployment models, and comparative performance analysis between BeeGFS and DSS Gen2 systems. Through detailed benchmarking demonstrations and real-world examples, understand how combining optimized software and hardware architectures enables unprecedented storage performance and scalability for AI/ML workflows.

Evolving Storage Solutions for AI/ML Performance and Scale

SNIAVideo
Add to list
0:00 / 0:00