Everpure, the storage and data administration firm, has introduced the supply of Everpure Data Stream, based mostly on NVIDIA AI Data Platform reference design, which brings superior AI capabilities instantly to enterprise data the place it already lives.
It enhances Everpure’s enterprise technique to ship AI-ready data. As organisations more and more deploy AI brokers to automate advanced duties, they’re constrained by important challenges. These embrace ingesting enterprise data for AI use, sustaining strict data safety and governance, and constructing infrastructure able to scaling to meet the calls for of AI.
Everpure Data Stream addresses these friction factors by lowering uncooked data preparation from months to minutes, imposing stream-level entry controls that maintain info securely inside the company community, and offering a scale-out structure that lets storage and compute scale independently to match altering mannequin necessities.
“We’re present process an enormous capital supercycle in AI, the place the defining issue between trade icons and people who disappear is the flexibility to adapt,” mentioned Robert Lee, Chief Know-how Officer, Everpure. “The successful AI structure requires a unified platform that permits companies to begin small with instant use instances, and seamlessly scale to exabyte capability. Everpure solves this problem by delivering a trusted, safe, and high-performance data pipeline that accelerates time-to-results for an enterprise’s data.”
To be prepared for AI, data have to be categorized, curated, cleaned, secured and scaled. Everpure permits these outcomes end-to-end on the AI path.
Enterprise data is closely fragmented throughout SaaS, cloud, on-premises, and mainframe environments, turning data integration and migration right into a expensive barrier for safe correct AI system deployment. Everpure Data Intelligence (previously 1touch) solves this by discovering, classifying, and contextualizing enterprise info at its supply to map data dependencies right into a data relationship graph. This common data intelligence layer makes data understanding and relationships accessible through APIs and the Mannequin Context Protocol (MCP), delivering extremely related, correct data inputs to AI fashions.
Moreover, as AI programs and brokers work together instantly with data, Data Intelligence gives attribute-based entry controls with safety and governance insurance policies — guaranteeing rigorous compliance throughout all AI workloads to assure enterprise-grade belief.
The supply of Everpure Data Stream accelerates enterprise AI initiatives by eradicating value and complexity obstacles. Everpure Data Stream extends upon the NVIDIA AI Data Platform reference design to ship the muse enterprises want to seamlessly convert unstructured data into real-time AI outcomes. By changing guide data ingestion and manipulation with a GPU accelerated pipeline from ingestion to inference, Data Stream helps organisations see outcomes sooner.
“Constructing the following era of AI factories requires a data structure that seamlessly bridges safe, ruled enterprise data with accelerated computing,” mentioned Jason Hardy, Vice President of Storage Know-how at NVIDIA. “Everpure’s integration with the NVIDIA AI Data Platform gives the infrastructure basis organisations want to scale from AI experimentation to full-production intelligence.”
Everpure can also be growing subsequent era AI options with NVIDIA STX, a modular basis for AI-native storage utilizing NVIDIA Vera and the NVIDIA Vera BlueField-4 STX storage processor. This collaboration focuses on bringing acceleration, safety and clever data companies nearer to enterprise data as organisations deploy agentic AI at scale.
Fragmented storage pipelines starve AI compute clusters, stalling coaching and inference. To stop this, FlashBlade delivers ultra-low latency and leverages KV Cache Accelerator to optimise reminiscence effectivity throughout inference. Powered by the non-disruptive Evergreen structure, organisations can begin with FlashBlade//S and scale seamlessly to FlashBlade//EXA for GPU-cloud scale, effortlessly increasing from data stream to massive AI factories. Lastly, Portworx gives the container platform wanted to seamlessly deploy, handle, and run these AI pipelines from the sting to the core data. By delivering on these capabilities inside a single, cohesive structure, Everpure eliminates the temptation to construct one more wave of fragmented data silos.
Revealed on June 17, 2026
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