Considerations When Building a Massive Data Storage Solution

Presented by

Timothy Sherbak, Enterprise Products and Solutions, Quantum

About this talk

Emerging HPC, AI, and analytics applications across many disciplines are driving new requirements for easy online accessibility to massive data sets. Join Quantum experts to discuss: • Challenges and tradeoffs that organizations classically face in building at hyperscale • How cloud architectures should be influencing your own in-house designs • New technologies that are enabling a new generation of storage clouds • Design principles that simultaneously optimize performance, durability, availability, and affordability • How new advances are blurring the line between active and cold data sets
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Quantum delivers end-to-end data management solutions designed for the AI era. From high-performance ingest that powers AI applications and demanding data-intensive workloads, to massive, durable data lakes to fuel AI models, Quantum delivers the most comprehensive and cost-efficient solutions. Leading organizations in life sciences, government, media and entertainment, research, and industrial technology trust Quantum with their most valuable asset – their data. Quantum is listed on Nasdaq (QMCO). For more information visit