Bridging Data Readiness and Production AI
To be truly ready for AI, data must be classified, curated, cleaned, secured and scaled. Everpure enables these outcomes end-to-end on the AI path.

Classify, contextualize, and govern your data 
Enterprise data is heavily fragmented across SaaS, cloud, on-premises, and mainframe environments, turning data integration and migration into a costly barrier for secure accurate AI system deployment. Everpure Data Intelligence (formerly 1touch) solves this by discovering, classifying, and contextualizing enterprise information at its source to map data dependencies into a data relationship graph. This universal data intelligence layer makes data understanding and relationships available via APIs and the Model Context Protocol (MCP), delivering highly relevant, accurate data inputs to AI models. 

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
The availability of Everpure Data Stream accelerates enterprise AI projects by removing cost and complexity barriers. Everpure Data Stream extends upon the Nvidia AI Data Platform reference design to deliver the foundation enterprises need to seamlessly convert unstructured data into real-time AI results. By replacing manual data ingestion and manipulation with a GPU accelerated pipeline from ingestion to inference, Data Stream helps organizations see results faster. 

“Building the next gen 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, 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
Fragmented storage pipelines starve AI compute clusters, stalling training and inference. To prevent this, FlashBlade delivers ultra-low latency and leverages KV Cache Accelerator to optimize memory efficiency during inference. Powered by the non-disruptive Evergreen architecture, organizations can start with FlashBlade//S and scale seamlessly to FlashBlade//EXA for GPU-cloud scale, effortlessly expanding from data stream to large AI factories. Finally, Portworx provides the container platform needed to seamlessly deploy, manage, and run these AI pipelines from the edge to the core data center.

“Idle GPUs are economically destructive,” said Sabur Mian, CEO and founder, 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 Survey 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.