Optimized Performance for Your Workloads

Requirements
  • Headquartered In: USA
  • Company Size: 500+ Employees
  • Industries: All exclude Federal, State & Local Government, Education K-12 and Higher Education
  • Titles: IT
  • Job Level: Influencers and Decision Makers
Overview

Digital transformation is essential. Across industries, it is critical to competitiveness and growth. But becoming a data-first leader isn’t easy. Today’s reality is that data and the systems it relies on are complex and siloed across a multi-generational, hybrid IT environment. Valuable data is trapped in legacy systems, and security is a constant concern. Understanding these challenges is the key to defining infrastructure priorities—and the right choice of compute is the key to innovating faster with a modern, data-first strategy.

Compute requirements for today’s hybrid, digital-first world to thrive, organizations need the right compute solution and one that can deliver a cloud operating experience:

  • Compute must be closer to where the data is created and lives.
  • Infrastructure must be simple to manage and operate.
  • Security is an essential must-have, not an option.
  • Workloads must scale quickly, efficiently, and with optimal performance.
  • Organizations need cost-effective options to meet business objectives

Top reasons our community cites for adopting or considering this solution:

  • Legacy centralized infrastructure.
    Data is everywhere across a modern organization. Organizations need compute that lives where the data is stored and where it is created—without compromising manageability or security.
  • Operational inefficiencies and complex management.
    Legacy IT management regimes are highly manual, with disparate systems and functions controlled independently. To accelerate digital transformation, a modern compute infrastructure should be managed. Through an intuitive, transparent, control layer that delivers simplicity, agility, and speed.
  • Legacy security approaches.
    Security risk is constantly evolving. As digital transformation reimagines and redesigns IT infrastructure, vulnerabilities and attack surfaces can proliferate. Data-centric modernization requires a compute backbone that’s secure and hardened from the ground up.
  • Compute performance.
    Customers need compute with the power to handle huge volumes of data and power the most demanding apps and workloads, such as VDI, database, and data analytics, to support machine learning and AI initiatives.
  • Business model inefficiencies.
    Organizations need to re-evaluate whether a CAPEX or OPEX model is right for their business.
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