Everpure Announces Data Stream to Expand AI-Ready Data Offerings
Everpure Announces Data Stream to Expand AI-Ready Data Offerings |
| [17-June-2026] |
New capability provides a comprehensive implementation path for production AI allowing customers to make their data AI-ready for natural language, search, and analysis of unstructured data. LAS VEGAS, June 17, 2026 /PRNewswire/ -- Pure Accelerate -- Everpure (NYSE: P), the company revolutionizing storage and data management, today announced the availability of Everpure Data Stream, based on NVIDIA AI Data Platform reference design, which brings advanced AI capabilities directly to enterprise data where it already lives. It enhances Everpure's comprehensive enterprise strategy to deliver AI-ready data. ![]() As organizations increasingly deploy AI agents to automate complex tasks, they are constrained by significant challenges. These include ingesting enterprise data for AI use, maintaining strict data security and governance, and building infrastructure capable of scaling to meet the demands of AI. Everpure Data Stream addresses these friction points by reducing raw data preparation from months to minutes, enforcing stream-level access controls that keep information securely within the corporate network, and providing a scale-out architecture that lets storage and compute scale independently to match changing model requirements. "We are undergoing a massive capital supercycle in AI, where the defining factor between industry icons and those who disappear is the ability to adapt," said Robert Lee, Chief Technology Officer, Everpure. "The winning AI architecture requires a unified platform that allows businesses to start small with immediate use cases and seamlessly scale to exabyte capacity. Everpure solves this challenge by delivering a trusted, secure, and high-performance data pipeline that accelerates time-to-results for an enterprise's data." Bridging Data Readiness and Production AI Classify, contextualize, and govern your data Additionally, as AI systems and agents interact directly with data, Data Intelligence provides attribute-based access controls with security and governance policies—ensuring rigorous compliance across all AI workloads to guarantee enterprise-grade trust. Convert raw data for AI use "Building the next generation of AI factories requires a data architecture that seamlessly bridges secure, governed enterprise data with accelerated computing," said Jason Hardy, Vice President of Storage Technology at NVIDIA. "Everpure's integration with the NVIDIA AI Data Platform provides the infrastructure foundation organizations need to scale from AI experimentation to full-production intelligence." Everpure is also developing next generation AI solutions with NVIDIA STX, a modular foundation for AI-native storage using NVIDIA Vera and the NVIDIA Vera BlueField-4 STX storage processor. This collaboration focuses on bringing acceleration, security and intelligent data services closer to enterprise data as organizations deploy agentic AI at scale. Scale performance across all workloads "Idle GPUs are economically destructive," said Sabur Mian, CEO and Founder of STN. "We standardized on Everpure FlashBlade because it eliminates the data bottlenecks that typically stall massive AI workloads. FlashBlade//EXA allows us to scale thousands of GPUs with up to 800 Gbps of throughput per node while maintaining rock-solid latency, driving up to 20% performance improvement for our customers." By delivering on these capabilities within a single, cohesive architecture, Everpure eliminates the temptation to build yet another wave of fragmented data silos. A new, commissioned IDC Global AI Readiness Survey1 reveals that 94% of IT leaders identify data quality as the absolute determining factor in AI success. Everpure's unified foundation gives enterprises the long-term flexibility and agility required to adapt as the broader AI landscape continues to evolve. Additional Resources
About Everpure The release timing of any discussed functionality remains at Everpure's sole discretion. The information provided is not a commitment to deliver discussed functionality based on any timeline. 1 IDC White Paper, sponsored by Everpure, "Why AI Projects Fail: Revealing the Data Infrastructure Gap," #US54552726-WP, June 2026.
SOURCE Everpure | ||
Company Codes: NYSE:P |













