Nutanix and AMD build enterprise AI stack to take agents from pilot to production
Enterprise AI ambition is far outpacing the readiness of the enterprise AI stack, and the growing rift between proof-of-concept deployments and production-scale agent operations is where most organizations are grounded.
Closing that rift is the fundamental basis of the partnership between Nutanix and AMD, according to Suresh Andani (pictured, right), chief corporate vice president of compute and enterprise AI at Advanced Micro Devices Inc. The two companies, linked by AMD’s $250 million investment in Nutanix, are building a joint enterprise AI stack that spans AMD’s CPU and GPU silicon, Nutanix’s software control plane and a shared go-to-market model designed to help enterprises deploy agents at scale without allowing costs, governance or operational complexity to spiral out of control.
“We rely heavily on our partners,” Andani said. “Nutanix, one of our leading partners for both the CPU stack and GPU stack, now the AI stack. And the key value is we bring the best silicon, the best platforms, but really our partnership with Nutanix brings the whole AI software stack on top of it.”
Andani and Tarkan Maner (left), president and chief commercial officer at Nutanix Inc., spoke with theCUBE’s Dave Vellante and John Furrier at AMD Advancing AI 2026, during an exclusive broadcast on theCUBE, SiliconANGLE Media’s livestreaming studio. They discussed how the enterprise AI stack must address token economics, data sovereignty and the absence of dedicated AI ops teams, and why the operating model conversation has moved from the CIO’s office to the board. (* Disclosure below.)
