Pure//Accelerate 2024
Logotype for Everpure Inc

Everpure (P) Pure//Accelerate 2024 summary

Event summary combining transcript, slides, and related documents.

Logotype for Everpure Inc

Pure//Accelerate 2024 summary

8 Jul, 2026

Strategic Vision and Platform Evolution

  • Emphasized a shift from hardware-centric to software-defined storage, enabling unified cloud management and eliminating data silos.

  • Fusion virtualizes storage, enabling effortless fleet management, policy-based automation, and self-service for developers.

  • The platform supports block, file, and object storage under a single operating environment, with consistent management across on-premises and cloud deployments.

  • Evergreen architecture ensures non-disruptive upgrades, global policy management, and eliminates scheduled downtime.

  • Backward compatibility for Fusion was announced, with staged rollouts beginning in September and continuing into next year.

Storage as a Service and Customer Experience

  • Storage as a service is positioned as a flexible, outcome-based model, moving risk and operational complexity from customers to the vendor.

  • Evergreen//One delivers continuous SaaS-like improvements, energy and labor efficiency, and supports new workloads, including AI.

  • Customers benefit from SLAs covering performance, capacity, efficiency, resiliency, and cyber recovery, with the vendor paying for power and rack space used.

  • Real-world customer examples illustrate scaling from small deployments to multi-petabyte, multi-site global operations.

  • Evergreen//One is now available in 30 countries, with enhanced SLAs and add-ons for resilience and cyber recovery.

AI and Enterprise Modernization Opportunities

  • Identified three AI-driven opportunities: storage for AI training, inference, and enterprise data modernization.

  • AI is accelerating infrastructure upgrades as enterprises seek to unify disparate datasets and enable real-time analytics.

  • The platform delivers sustained, balanced performance for diverse AI workloads, with reliability and flexibility to adapt as needs evolve.

  • Partnerships with NVIDIA and SuperPOD certification are advancing, simplifying large-scale AI deployment and ensuring compatibility with Evergreen and Fusion.

  • Customer case studies span large-scale GPU farms, Fortune 100 retailers, and organizations modernizing data estates for AI readiness.

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