Everpure (P) Pure//Accelerate 2024 summary
Event summary combining transcript, slides, and related documents.
Pure//Accelerate 2024 summary
8 Jul, 2026Strategic 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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