Pure Storage unveils unified platform to supercharge AI data

Pure Storage has announced major enhancements to the Pure Storage Platform, aimed at simplifying data management for organisations seeking to leverage artificial intelligence capabilities across on-premises and cloud environments.

As businesses increasingly adopt AI technologies, data management is emerging as a decisive factor for success. The Pure Storage Enterprise Data Cloud architecture has been designed to offer a unified model for data control, automation, and cyber resilience, regardless of the deployment environment.

"In today's AI era, access to data is everything. Managing your data, not just storing it, is the new foundation for AI-readiness from cloud to core to edge," said Rob Lee, Pure Storage Chief Technology Officer. "Success depends on having your data secure everywhere, and easily accessible anywhere, with a unified and consistent experience - in real time, at scale, across any workload."

The announcement introduces a significant expansion of the Enterprise Data Cloud into public cloud offerings through a new product called Pure Storage Cloud. This solution is intended to provide IT leaders with a unified data landscape for hybrid cloud infrastructure, ensuring data accessibility at all times for AI applications and analytics workloads.

Purer cloud offering

A highlight of the update is Pure Storage Cloud Azure Native, now generally available via the Azure Native Integrations programme. This service has been built specifically for Azure VMware Solution, enabling customers to migrate storage-intensive VMware workloads into Microsoft Azure without the need for complex refactoring, and to decouple storage from compute. Delivered as a managed Azure service, it offers enterprise-grade resiliency and efficiency directly through the Azure portal.

"Organisations looking to embrace AI and next-gen cloud services with Microsoft must first move data to Microsoft Azure. For many, migrating storage-intensive VMware workloads has been a significant challenge," said Aung Oo, VP, Azure Storage. "That's why we're thrilled to partner with Pure Storage to provide an Azure Native service built for Azure VMware Solution. Together, we're making it easier for customers to migrate data-heavy VMware workloads into Azure and quickly leverage the latest cloud innovations in AI and analytics."

Unified data control

Pure Storage is introducing an updated intelligent control plane intended to automate provisioning, protection, and governance of data across distributed environments. One addition is the integration of Portworx with Pure Fusion, expected to be available in the first half of the 2027 financial year. This integration supports a single unified platform for both traditional and modern application data management, including containerised workloads and KubeVirt-based virtual machines, on-premises or in hybrid cloud setups.

Expansion of the Pure1 AI Copilot also forms part of the announced updates. This product employs conversational user interfaces to simplify the monitoring and management of file services and storage systems, enabling natural language interactions with the infrastructure. The new Portworx Pure1 AI Copilot, now generally available, allows users to monitor Kubernetes and Portworx clusters at scale through the Pure1 Copilot interface.

An upcoming feature-Pure1 AI Copilot Integration with Model Context Protocol Servers-is set for release by the end of the 2026 financial year. It aims to allow IT teams to troubleshoot and optimise systems without in-depth technical skills, creating a context-aware intelligence layer capable of pattern recognition, summarisation, and remediation suggestions.

Efficiency and performance

Pure Storage is leaning into efficiency for AI workloads, launching the Pure Key Value Accelerator with integration into NVIDIA Dynamo for AI inference. This accelerator targets high-performance key-value caching, supporting AI inference in multi-GPU environments and aiming to reduce both computational overhead and environmental impact. The integration with NVIDIA Dynamo is scheduled for general availability in the last quarter of the 2026 financial year.

"Efficient AI inference requires rapid data access so that AI agents can provide accurate responses in fractions of a second. Integrating Pure Storage's Key Value Accelerator with NVIDIA Dynamo will deliver an out-of-the-box path to faster and more scalable inference - removing complexity, reducing latency - so that enterprises can maximize the utilization of their NVIDIA AI infrastructure," said Dion Harris, Senior Director, HPC, Cloud and AI Infrastructure, NVIDIA.

The next-generation Purity Deep Reduce data reduction engine, using advanced pattern recognition and similarity-based reduction, is also included in the update and expected to be generally available in the first half of financial year 2027.

Pure Storage has also expanded its FlashArray portfolio, with the new FlashArray//XL 190 to be made available in the fourth quarter of the 2026 financial year, and the FlashArray//X R5 and FlashArray//C R5 already available. The architecture is aimed at enabling organisations to run both legacy enterprise applications and modern AI/ML pipelines on a shared, scalable foundation.

The company's approach enables block, file, and object data to be managed by policy, with the ability to control data across different environments via a single console and unified operating framework.