The evolution of hybrid platforms for enterprise IT has led to a rethinking of the architecture needed for handling various use cases.

The journey from on-premises to cloud and out to the edge requires technology that can deliver across the stack, especially as businesses migrate workloads and applications to the edge.

“The number one thing we see are the architectural choices that are made,” said Janet George (pictured, right), CVP of data center and AI and general manager of the Cloud Enterprise, AI and Security Solutions Group at Intel Corp. “You can’t have an architecture at the edge that is completely divorced from the architecture at the cloud because the edge and the cloud is a continuum. There’s a business model transformation that has to occur in order to think big.”

George spoke with theCUBE industry analysts Lisa Martin and Dave Vellante at HPE Discover during an exclusive broadcast on theCUBE, SiliconANGLE Media’s livestreaming studio. She was joined by Phil Cutrone (left), senior vice president and general manager of service providers, telco and OEM at Hewlett Packard Enterprise Co., and they discussed how both companies are addressing edge and AI needs. (* Disclosure below.)

Far edge solutions

Part of the collaborative strategy between HPE and Intel involves meeting the compute needs of customers at the far edge in remote standalone environments that require robust processing power. HPE’s DL360 server has already found a home in the International Space Station, and it is helping drive business for RaceTrac Inc., an operator of over 560 convenience stores throughout the U.S.

“RaceTrac is at the far edge,” Cutrone said. “What they’ve decided to do is put a double installation of DL360s inside each convenience store. They raised their resiliency.”

In addition to meeting resiliency needs at the far edge, HPE and Intel are building solutions to power applications such as generative AI. Advances in compute processing power have been a key development, according to George.

“These large language models are being trained on a 175 billion parameter space,” she said. “We had this big data issue, and then we had AI coming to the table to address the big data, but computers [were] lagging behind. What we are seeing now is that the computer is keeping up with the data.”

Here’s the complete video interview, part of SiliconANGLE’s and theCUBE’s coverage of HPE Discover:

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

Photo: SiliconANGLE