Broadcom and Cisco tie AI factory deployment to workload needs
AI factory deployment is becoming a workload-sizing exercise rather than a custom infrastructure project. Enterprises need infrastructure spanning edge inference and large-model training.
Broadcom Inc. and Cisco Systems Inc. are addressing that challenge with a validated design combining VMware Cloud Foundation and Cisco Unified Computing System infrastructure. It maps workloads to hardware, from processors for smaller models to graphics processing unit-dense systems, according to Sabina Anja (pictured, right), chief technologist, VMware Cloud Foundation Division, Broadcom.
“When we came up with the VMware Private AI Cloud, which has VMware AI Factory under that, the whole idea was: How can we give customers a solution to this massive systems problem?” she said. “How can you get something that’s bespoke to your outcome and integrates the best in the market for it?”
Anja and Jeff Nichols (left), technical leader at Cisco, spoke with theCUBE Research’s Christophe Bertrand and co-host Alison Kosik at VMware Explore, during an exclusive broadcast on theCUBE, SiliconANGLE Media’s livestreaming studio. They discussed reducing deployment complexity while preserving hardware and location choices. (* Disclosure below.)
