Object storage: The backbone of modern enterprise AI strategies

As AI adoption accelerates, enterprises face pressure to manage surging data volumes while maintaining performance for model training and inference. Traditional storage struggles to balance cost-effective capacity with the low-latency, high-throughput demands of AI.

This white paper explores how modern object storage has evolved into a high-performance backbone for AI. Discover insights on optimizing data architecture, including:

· How disaggregated storage and RDMA acceleration meet AI performance needs
· Strategies for data lakes and lakehouses supporting AI
· Balancing scalability, performance, and cost-efficiency

Read the white paper to build AI-ready storage.