This theCUBE Research interview features hosts John Furrier of theCUBE Research and Dave Vellante of theCUBE Research. Guests include Tarkan Maner of Nutanix, president and chief commercial officer, and Suresh Andani of AMD, chief corporate vice president, compute and enterprise artificial intelligence. Maner emphasizes the need for an end-to-end control plane and lifecycle management to scale agentic AI; they highlight cost control, security and forward-deployed engineering. Andani stresses leveraging CPUs and GPUs and hybrid deployment models to balance data sovereignty, latency and economics; they underscore the requirement for integrated compute, storage and middleware from edge to data center to deliver enterprise-grade AI.
The conversation addresses hybrid cloud architectures, agentic compute and the operational challenges of moving pilots into production. Analysts present the TIME framework, which stands for tolerate invest migrate eliminate, and prioritize rapid operationalization and governance as critical next steps. The discussion also considers implications for EPYC processors and Instinct accelerators and the factors to consider when designing enterprise AI infrastructure.
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Tarkan Maner, Nutanix & Suresh Andani, AMD
This theCUBE Research interview features hosts John Furrier of theCUBE Research and Dave Vellante of theCUBE Research. Guests include Tarkan Maner of Nutanix, president and chief commercial officer, and Suresh Andani of AMD, chief corporate vice president, compute and enterprise artificial intelligence. Maner emphasizes the need for an end-to-end control plane and lifecycle management to scale agentic AI; they highlight cost control, security and forward-deployed engineering. Andani stresses leveraging CPUs and GPUs and hybrid deployment models to balance data sovereignty, latency and economics; they underscore the requirement for integrated compute, storage and middleware from edge to data center to deliver enterprise-grade AI.
The conversation addresses hybrid cloud architectures, agentic compute and the operational challenges of moving pilots into production. Analysts present the TIME framework, which stands for tolerate invest migrate eliminate, and prioritize rapid operationalization and governance as critical next steps. The discussion also considers implications for EPYC processors and Instinct accelerators and the factors to consider when designing enterprise AI infrastructure.
In this interview from AMD Advancing AI 2026 in San Francisco, Tarkan Maner, president and chief commercial officer at Nutanix, joins Suresh Andani, corporate vice president of compute and enterprise AI at AMD, to talk with theCUBE's Dave Vellante and John Furrier about the shift from AI pilots to enterprise-scale production deployments. Maner and Andani discuss how the Nutanix-AMD partnership, backed by a $250 million investment, brings enterprise-grade governance, security and lifecycle management to AI workloads spanning CPUs and GPUs. Andani explains why ...Read more