Everpure Data Stream strengthens enterprise AI infrastructure by enabling organizations to make data AI ready for natural language, search, and analysis of unstructured data. The solution enhances Everpure’s broader strategy to deliver AI-ready data across enterprise environments.

Everpure (NYSE: P), the company focused on storage and data management, has announced the availability of Everpure Data Stream. The platform brings advanced AI capabilities directly to enterprise data where it already resides. Moreover, it supports Everpure’s goal of enabling scalable and production-grade AI adoption.

As organizations increasingly deploy AI agents to automate complex tasks, they face several constraints. These include ingesting enterprise data for AI use, maintaining strict security and governance, and building infrastructure that can scale with AI demand. In addition, Everpure Data Stream addresses these challenges by reducing raw data preparation timelines from months to minutes. It also enforces stream-level access controls to keep data securely within corporate environments. Furthermore, it provides a scale-out architecture where storage and compute can scale independently based on model requirements.

Robert Lee, Chief Technology Officer at Everpure, said the industry is entering a major capital supercycle in AI. He noted that success will depend on adaptability. He added that winning AI architecture requires a unified platform that allows organizations to start small and scale to exabyte capacity. According to him, Everpure delivers a secure and high-performance data pipeline that accelerates time to results for enterprise data.

To bridge data readiness and production AI, Everpure focuses on classification, curation, security, and scaling of enterprise data. Therefore, Everpure enables end-to-end AI data preparation across the AI lifecycle.

Everpure Data Intelligence, formerly known as 1touch, helps classify, contextualize, and govern data. It discovers enterprise information across SaaS, cloud, on-premises, and mainframe systems. It also builds a data relationship graph that maps dependencies. In addition, it exposes this intelligence through APIs and Model Context Protocol (MCP) to improve AI model accuracy. It also enforces attribute-based access controls for compliance and governance across AI workloads.

Everpure Data Stream further accelerates AI projects by reducing data ingestion complexity. It extends the NVIDIA AI Data Platform reference design to support conversion of unstructured data into real-time AI outputs. Additionally, it replaces manual ingestion processes with a GPU-accelerated pipeline that spans ingestion to inference. This helps enterprises reduce time to insight.

Jason Hardy, Vice President of Storage Technology at NVIDIA, said modern AI factories require secure and governed data architectures. He added that Everpure integration with the NVIDIA AI Data Platform provides the foundation needed to scale from experimentation to production intelligence.

Everpure is also developing next-generation AI solutions with NVIDIA STX. This modular foundation leverages NVIDIA Vera and BlueField-4 STX storage processors. It aims to bring acceleration, security, and intelligent data services closer to enterprise data for agentic AI workloads.

To ensure performance at scale, Everpure addresses storage bottlenecks that can limit AI training and inference. FlashBlade provides low latency performance and supports KV Cache Accelerator for inference efficiency. With the Evergreen architecture, organizations can scale from FlashBlade//S to FlashBlade//EXA. Additionally, Portworx enables containerized deployment and management of AI pipelines across edge and data center environments.

Overall, Everpure positions this unified architecture as a way to eliminate fragmented data silos. According to IDC’s Global AI Readiness Survey, 94 percent of IT leaders cite data quality as a key factor in AI success. Therefore, Everpure emphasizes a unified foundation for long-term scalability and agility in AI environments. Ultimately, Everpure Data Stream reinforces the company’s vision of building AI-ready enterprise data with Everpure.

Related post

View all