storage infrastructure

Everpure's New AI Data Platform Targets Production Scale

Everpure’s New AI Data Platform Targets Production Scale

Everpure announced new data management capabilities designed to move enterprise AI from pilot to production, covering governed agent data access, LLM inference acceleration, and token cost optimization. ECI Research analyzes the business and technical implications for IT decision-makers and developers evaluating AI infrastructure. The governance and compliance angle may be the most underrated part of this release.

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Everpure Q2 2027: Data Primacy and the Agentic Storage Bet

Everpure Q2 2027: Data Primacy and the Agentic Storage Bet

Everpure reported record Q2 revenue of $1.2 billion, up 38% year-over-year, backed by back-to-back hyperscaler design wins and a new Data Primacy architecture aimed at enabling agentic AI workloads. ECI Research analyzes what the results mean for enterprise IT buyers and government technology leaders navigating AI adoption. The compliance friction problem, not just the infrastructure gap, may determine how quickly the Data Primacy thesis converts to regulated-sector revenue.

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Pure Accelerate 2026: Enterprise AI Data Governance Takes Center Stage

Pure Accelerate 2026: Enterprise AI Data Governance Takes Center Stage

Pure Storage used Pure Accelerate 2026 to reframe itself as an enterprise data fabric company, announcing Universal Data Intelligence, Azure-native storage GA, and agentic workflow automation. The central argument: model quality is commoditizing, and data governance is where enterprise AI is won or lost. ITDMs and architects should pay close attention to the shift from RBAC to ABAC for agentic environments and the emerging case for federated compute.

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