What to expect during Pure Accelerate: Join theCUBE June 17
Enterprise storage is being repositioned for the artificial intelligence era, and one of the leading players in the field has actively pursued an agenda aimed at operationalizing data. , which rebranded in February from Pure Storage, has unveiled a set of actions during the first half of this year designed to position storage as an [... ] The post What to expect during Pure Accelerate: Join theCUBE June 17 appeared first on SiliconANGLE.
Key Takeaways
- Enterprise storage is evolving into an AI-ready data platform.
See how Everpure is unifying performance, resilience and governance at Pure Accelerate 2026.
- Recent moves have included the launch of a control plane architecture to protect data against ransomware attacks and the new Everpure Data Stream Beta , which provides a direct, automated pipeline from data ingestion to inference.
"The biggest challenge facing enterprise AI is not access to models - it is the ability to operationalize data, infrastructure and governance at scale," said Rob Strechay , managing director and principal analyst at theCUBE Research.
- Tune in for on-site reporting and exclusive interviews as theCUBE's analysts talk with industry leaders from Everpure, its partners and customers.
Coverage will explore how Everpure is connecting flash-based performance, intelligent automation and cyber resilience into a unified data platform, as well as what that means for organizations moving AI workloads from experimentation into production.
- Through Everpure's Portworx offering, customers can address performance demands and strict data sovereignty requirements, while maintaining consistent data services across cloud, edge and on-prem environments.
Everpure's strategy is to connect storage modernization and AI-ready infrastructure into a broader platform story.
- Storage is increasingly being viewed as more than a "nice-to-have" commodity; it is emerging as a strategic asset in today's AI-fueled infrastructure.
Stats & Key Facts
- #"Our research shows that more than four out of five organizations are pursuing multi-vendor data strategies, and nearly 90% believe governance, metadata and lineage will become even more critical as AI adoption accelerates.
Enterprise storage is evolving into an AI-ready data platform. See how Everpure is unifying performance, resilience and governance at Pure Accelerate 2026. UPDATED 17:21 EDT / JUNE 10 2026 AI What to expect during Pure Accelerate: Join theCUBE June 17 by Mark Albertson SHARE Enterprise storage is being repositioned for the artificial intelligence era, and one of the leading players in the field has actively pursued an agenda aimed at operationalizing data.
, which rebranded in February from Pure Storage, has unveiled a set of actions during the first half of this year designed to position storage as an active data platform for AI, automation, cyber resilience and enterprise intelligence. Recent moves have included the launch of a control plane architecture to protect data against ransomware attacks and the new Everpure Data Stream Beta , which provides a direct, automated pipeline from data ingestion to inference. These and other key actions by the company will be part of the agenda at the Pure Accelerate gathering in Las Vegas later this month.
"The biggest challenge facing enterprise AI is not access to models - it is the ability to operationalize data, infrastructure and governance at scale," said Rob Strechay , managing director and principal analyst at theCUBE Research. "Our research shows that more than four out of five organizations are pursuing multi-vendor data strategies, and nearly 90% believe governance, metadata and lineage will become even more critical as AI adoption accelerates. At Pure Accelerate, I expect the discussion to center on how organizations can move from managing infrastructure silos to creating a unified data foundation that improves efficiency, strengthens resilience and delivers measurable ROI from AI investments.
For more details please read the original article at SiliconANGLE AI.
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