White Paper
IDC Whitepaper: Enterprise AI for Competitive Advantage in a Data Driven World
Discover how Nutanix, Cisco, and Intel deliver an AI-ready infrastructure stack to simplify hybrid multicloud, optimize TCO, and accelerate data-driven AI.
IDC finds that enterprises struggle to scale AI due to fragmented data and complex, siloed infrastructure. Nutanix, Cisco, and Intel deliver an integrated, AI‑ready stack that unifies operations, strengthens governance, and accelerates time to value across hybrid multicloud environments.
What You’ll Learn:
Modernize Without Disruption: Nutanix Cloud Platform and Intel® Xeon® 6 processors provide a low‑risk, scalable path to AI and cloud‑native adoption—building on what already works while reducing complexity and tech debt.
Proven Efficiency & Lower TCO: Organizations achieve measurable modernization results—including server consolidation, reduced power consumption, and faster ROI—powered by Intel Xeon 6 and Nutanix’s unified infrastructure management.
Resources
Scaling the AI Factory: Overcoming the Infrastructure Bottlenecks of Enterprise Agentic AI
Cisco and Nutanix: Enterprise-Ready AI Infrastructure
Insights for CIOs: Unlocking Enterprise AI for Competitive Advantage
Nutanix provides a consistent operating model across datacenters, public clouds, and edge environments. AI workloads can be deployed and moved as needed, enabling hybrid inference architectures and portable AI operations.
Nutanix centralizes access control across models, data, and enterprise systems. With role-based policies and governed access, organizations can control how AI agents and applications interact with internal tools and data.
Nutanix provides a unified operating platform for agentic AI that helps organizations build, deploy, govern, and scale autonomous AI systems consistently across distributed environments. Nutanix simplifies AI infrastructure operations, supports GPU-enabled workloads, and enables centralized governance, security, compliance, and operational automation for agentic AI at scale.