HPE integrates VAST Data platform into HPE GreenLake for File Storage

VAST Data, the data platform company for the AI era, announced that Hewlett Packard Enterprise (HPE) has incorporated VAST Data’s file software platform into the HPE GreenLake for File Storage service. By leveraging VAST’s unique and innovative scale-out software architecture for the new HPE GreenLake for File Storage, enterprise customers can manage unstructured data with high performance at scale to deliver superior time to data insight.

What does this mean for VAST Data and HPE?

The new HPE GreenLake for File Storage uses VAST’s Disaggregated, Shared-Everything (DASE) architecture, which IDC describes as “the storage architecture of the future.” Built on HPE Alletra Storage MP and delivered as part of the HPE GreenLake cloud operational model, the service enables firms to run unstructured workloads efficiently from one control plane.

From enterprise to AI applications, VAST software allows clients to analyse data in context and in the moment by consolidating infrastructure to bolster training and inference time.

“By combining VAST Data’s next-gen architecture with trusted hybrid cloud infrastructure and data services from HPE, clients now get the best of all worlds combined into a single, simple to consume solution from HPE,” said Renen Hallak, Co-Founder and CEO of VAST Data.

Renen Hallak, Co-Founder and Chief Executive Officer of VAST Data
Renen Hallak, Co-Founder and Chief Executive Officer of VAST Data

“VAST is laying the foundation for the future of data management and AI workloads, and together with HPE, we’re continuing to innovate for the enterprise, where data is at the centre of every application strategy and business decision,” Renen Hallak further commented.

“Media creation is on the rise, across enterprise, commercial and consumer use cases. As a result, unstructured data storage is becoming increasingly necessary and increasingly complex for organisations ranging from life sciences to media/entertainment and financial services,” said Tom Black, Executive Vice President and General Manager, HPE Storage.

“By using VAST Data software within HPE GreenLake, we can deliver a scale-out file service, designed to bolster data-intensive workloads, managed via the HPE GreenLake platform.”

What does the integration mean for joint partners?

“As a VAST and HPE customer, we see the HPE GreenLake edge-to-cloud platform as an innovative entrant in the cloud arena, which recognises the challenge many businesses have in balancing on-prem versus cloud,” said Chris Goddard, CTO and Partner at G-Research.

“The combination of HPE GreenLake with VAST’s file system has huge potential to reduce data complexity and further scale the performance of large machine learning workloads, in the cloud and in on-prem native environments. HPE and VAST have been partners in helping our business achieve the high-performance operations we have today, and we continue to explore potential new innovations with them that could further accelerate our future growth.”

“In the last few years, VAST Data has proven itself in the most demanding data-rich environments. This partnership with HPE opens up VAST’s performant, AI-ready technology to a broad swath of HPE GreenLake customers looking for scale-out file service capabilities,” commented Steve McDowell, Principal Analyst and Founding Partner at NAND Research.

“Softcat is invested in further accelerating customer outcomes with comprehensive solutions, from edge to cloud,” commented David Francis, Head of Vendor Alliances at Softcat.

“With over 15 years of successful partnership with Hewlett Packard Enterprise, we’re excited about today’s announcement of HPE GreenLake for File Storage in partnership with VAST Data, which opens up new markets and use cases for our business, and ensures our joint customers have access to the industry’s most innovative, performant technologies and flexible consumption models to meet the needs of their organisation,” David Francis added.

HPE GreenLake for File Storage is available to order today. For more information, click here.