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Everpure Launches Data Stream to Accelerate Enterprise AI Data Pipelines

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Everpure Launches Data Stream to Accelerate Enterprise AI Data Pipelines

June 22, 2026
Everpure has launched Everpure Data Stream, a new platform component built on the NVIDIA AI Data Platform reference design. It pushes AI processing closer to enterprise data while solving core pain points in data preparation, governance and scalability, advancing the firm’s strategy of delivering AI-ready data infrastructure for enterprises.

latest company case about Everpure Launches Data Stream to Accelerate Enterprise AI Data Pipelines  0

As enterprises scale AI from experimentation to production, they commonly struggle with enterprise data ingestion and preparation, security governance enforcement, and infrastructure scaling for growing AI workloads. Everpure states Data Stream cuts data preparation cycles from months to minutes, with stream-level access controls to keep data within enterprise security boundaries. Its scale-out architecture supports independent scaling of storage and compute to adapt to evolving AI demands.

Everpure CTO Robert Lee emphasized that enterprise AI platforms require flexible architectures to enable rapid deployment and long-term scaling. He added that enterprises need secure, high-performance data pipelines to accelerate data processing and shorten time-to-value for AI projects.

Connecting Data Readiness to Production AI


Data Stream serves as a key part of Everpure’s end-to-end AI data platform, which tailors enterprise data for production AI use. The company notes data must undergo classification, contextualization, governance, security optimization and scalable access enablement to support AI training, inference and agentic AI applications.

latest company case about Everpure Launches Data Stream to Accelerate Enterprise AI Data Pipelines  1

A core pillar of this strategy is Everpure Data Intelligence (formerly 1touch). It discovers, classifies and contextualizes enterprise data across SaaS, cloud, on-premises and mainframe environments, mapping dataset relationships into a data relationship graph. This builds a unified metadata layer accessible via APIs and the Model Context Protocol (MCP).

The platform enforces attribute-based access control and unified governance policies, helping enterprises sustain security and compliance as AI models and agents directly interact with business data.

GPU-Accelerated Data Processing


Built on the NVIDIA AI Data Platform reference architecture, Data Stream simplifies converting unstructured enterprise data into AI-ready assets via a full GPU-accelerated pipeline covering end-to-end data ingestion and inference, eliminating inefficient manual data preparation workflows.

The solution reduces operational complexity and accelerates AI service deployment and result generation.

NVIDIA Vice President of Storage Technology Jason Hardy stated that modern AI infrastructure demands architectures that securely connect governed enterprise data with accelerated computing resources. He affirmed Everpure’s NVIDIA ecosystem integration helps enterprises advance AI initiatives from proof-of-concept to full production.

NVIDIA Bluefield 4 STX Collaboration


Everpure is also developing next-gen AI-native storage technologies based on NVIDIA Vera and BlueField-4 STX storage processors, aiming to bring acceleration, security and intelligent data services closer to enterprise datasets amid expanding agentic AI adoption.

Scalable AI Infrastructure Stack


To eliminate storage bottlenecks hindering AI training and inference, Everpure adopts FlashBlade as the foundational storage for Data Stream deployments. It delivers low-latency data access and integrates KV Cache Accelerator technology to boost memory efficiency for inference workloads.

Powered by Evergreen architecture, the platform supports seamless, non-disruptive upgrades from FlashBlade//S to FlashBlade//EXA, enabling scaling from small AI projects to large-scale AI factory environments. Portworx serves as the container layer to deploy and orchestrate AI pipelines across edge, core and data center environments.

By unifying data intelligence, streaming, storage and container orchestration into one architecture, Everpure minimizes infrastructure fragmentation and isolated AI data silos.

This launch aligns with Everpure-commissioned IDC Global AI Readiness Survey findings, where 94% of IT leaders identify data quality as the top determinant of AI success. Everpure’s integrated architecture empowers enterprises to flexibly adapt to rapidly evolving AI requirements.

Beijing Qianxing Jietong Technology Co., Ltd.
Sandy Yang/Global Strategy Director
WhatsApp / WeChat: +86 13426366826
Email: yangyd@qianxingdata.com
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