Enable Exabyte Scale Success with Pure Storage - Scalable, Expandable, and Reliable

The Pure Storage Platform delivers the exabyte scale capacity, performance, and unified data management required to meet the challenges of moving AI projects from experimentation, to production, and through to at-scale utilization. This session will cover how Pure's data-centric design, metadata optimization, and multi-dimensional performance can address bottlenecks throughout the AI data pipeline and drive GPU utilization to accelerate AI model training and inference.


This session will cover:
1) Approaches for integrating exabyte scale files and objects required for AI model development
2) Architectures for scale-out and scale-up to drive GPU utilization and high performance model training and inferencing
3) Simplified platform automation, lifecycle management and orchestration to support AI project growth
4) Real-world insights into delivering exabyte scale AI infrastructure from hyper-scaler and enterprise-scale projects