AI storage infrastructure challenges and enterprise solutions

Enterprises face challenges as AI workloads demand storage that handles massive data, supports multi-stage pipelines, and delivers consistent performance. Legacy systems often fall short, with 88% of organizations buying new storage for AI training.

This white paper explores modern storage architectures, focusing on software-defined, scale-out systems with hybrid cloud integration. Enterprises prefer consolidated platforms for ingest, training, inferencing, and production, ensuring availability and security.  Key points include:

• Storage needs for AI pipelines
• Deployment preferences like converged infrastructure
• Requirements for scalability and low latency

Learn how to optimize AI storage and maximize ROI.