How tape storage enables AI scalability and data protection at scale

Organizations face challenges managing growing data volumes as AI adoption accelerates, requiring storage solutions for exabyte-scale datasets that balance cost efficiency and compliance. Traditional storage struggles with the scale, energy use, and preservation needs of AI workloads.

In this webcast, Mitch Seigle explores how modern tape technology addresses these issues via object-based interfaces and cloud integration, enabling enterprise-grade storage for AI. Topics include scaling tape to multi-exabyte capacity, AI use cases like LLM training, and Tape-as-a-Service models simplifying infrastructure.

Discover sustainable, cost-effective AI data management.