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Reduce Operating Costs in your Data Center with Sustainable Data Storage, by Design

Discover how to transform your data management approach to not only withstand the AI tsunami but to thrive, ensuring your organization's data remains accessible, secure, and efficiently managed—today and into the future.
This webinar first aired on 2 de agosto de 2024
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  • Sostenibilidad

Patrick Smith

Field CTO for EMEA, Pure Storage

Don Kirouac

Technical Marketing Engineer, Pure Storage

Brian Ferrar

Product Marketing Director, Solutions, Pure Storage

In an era where data is not just an asset but the very lifeblood of our organizations, ensuring 24/7 accessibility has become a non-negotiable. As we navigate the complexities of burgeoning storage requirements, the silent yet escalating demands on Data Center power, cooling, and infrastructure space have emerged as formidable challenges. These challenges are further amplified by the AI tsunami—a surge in data processing that threatens to overwhelm existing data management capabilities.

While the conversation around the resources necessary to sustain this data-driven ecosystem often remains in the background, the reality is stark. As AI propels us into the future, the environmental and operational costs of data centers are reaching critical levels. Organizations are now at a crossroads, seeking strategies to manage their data infrastructure not just to meet the growing demands of their business but to do so sustainably and cost-effectively.

Discover how to transform your data management approach to not only withstand the AI tsunami but to thrive, ensuring your organization's data remains accessible, secure, and efficiently managed—today and into the future.

Join us as we explore:

  • The undeniable impact of the AI tsunami on data center resources, including power and cooling demands.
  • Strategies for managing your data infrastructure to meet business needs while controlling operational costs.
  • How cutting edge solutions from Pure Storage enable organizations to achieve operational efficiency, sustainability goals, and a competitive edge in the face of AI's relentless growth.
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