Enterprise storage driven by HPE and Nvidia partnership

Enterprise storage is continuing to go through significant changes as demonstrated by the recent announcement of a new collaboration between Hewlett Packard Enterprise Co. and Nvidia Corp.

HPE’s Ed Beauvais talks with theCUBE about enterprise storage during the Future of Data Platforms Summit.

The two enterprise powerhouses have extended their partnership to include AI-optimized storage. It highlights how HPE is focused on reshaping the role of enterprise storage in this evolving world of AI.

“For too long, all storage did was write data and hopefully read it back,” said Ed Beauvais (pictured), director of product management — AI and cloud data infrastructure — at HPE. “We’re thinking about it differently. Storage solutions need to do more. That’s why we focused on introducing data intelligence that’s in-line in the platform. As you’re landing data, we can help unlock that value, and I think that is really one of the core tenets of what we’re trying to do.”

Beauvais spoke with theCUBE’s Rob Strechay at the Future of Data Platforms Summit, during an exclusive broadcast on theCUBE, SiliconANGLE Media’s livestreaming studio. They discussed how HPE’s collaboration with Nvidia is designed to unlock data value and enhance object storage’s capabilities for AI. (* Disclosure below.)

Context-rich data integration for enterprise storage

The latest joint initiative between HPE and Nvidia included the launch of the HPE Alletra Storage MP X10000 software development kit for the Nvidia AI Data Platform. This enhancement will enable the integration of context-rich, AI-ready data directly into Nvidia’s AI ecosystem.

“We think AI is critical, and obviously we’re partnering with Nvidia to be able to unlock that value, but we also see customers don’t just buy solutions only for AI,” Beauvais noted. “We want to help customers unlock the value of their unstructured data as well. We see unstructured data becoming much more like primary storage where it becomes critical to amass that unstructured data and then query it and use the AI in the querying to be able to take action and drive business insight.”

HPE also believes that its collaboration with Nvidia will drive operational efficiency with remote direct memory access transfers between GPU memory, system memory and the X10000. This support for object storage is expected to accelerate the data path for interfacing with the Nvidia AI Data Platform.

“We look at being able to deliver massive performance in terms of transactions, and we also need to do that from a bandwidth perspective,” Beauvais said. “Our current release … actually has support for RDMA for object, which is really a game changer. If you need maximum performance from an AI perspective, now you can do it with object.”

Here’s the complete video interview, part of SiliconANGLE’s and theCUBE’s coverage of the Future of Data Platforms Summit:

(* Disclosure: Hewlett Packard Enterprise Co. sponsored this segment of theCUBE. Neither HPE nor other sponsors have editorial control over content on theCUBE or SiliconANGLE.)

Photo: SiliconANGLE