The push for AI adoption is reshaping the enterprise landscape, presenting both challenges and significant opportunities for Service Providers.
The 2026 Nutanix Enterprise Cloud Index (ECI) reveals a critical gap:
- 85% of IT leaders report that AI is accelerating container adoption.
- 82% admit their on-premises infrastructure is not ready for AI workloads.
This disparity highlights the urgent need for infrastructure modernisation to support the rate of innovation.
Hardware and software acceleration
AI is driving an unprecedented rate of change in both hardware and software. New GPUs and accelerators are arriving faster than traditional infrastructure can adapt, while the software ecosystem, particularly large language models (LLMs), is evolving just as quickly.
The ECI report finds that 83% of organisations are already building new applications in containers to manage these fast-moving dependencies. For Service Providers, this signals a clear opportunity to offer platforms that can absorb constant change without requiring complete re-architecture.
Data sovereignty is non-negotiable
As AI has become more integrated, data control has emerged as a top priority. The ECI report indicates that for 80% of IT leaders, data sovereignty is a high-priority factor in infrastructure decisions, with customers demanding to know where their data lives and how it’s governed.
With 79% of IT leaders seeing AI tools implemented outside of IT oversight, the rise of "Shadow AI" also underscores the risks of an inconsistent strategy.
Adaptability is the key to competitiveness
It’s clear that static, siloed infrastructures can’t keep up with the pace and demands of AI. Your ability to help customers adopt new hardware, integrate new software, and maintain data sovereignty will define their success.
The future belongs to those who build for adaptability on a consistent, repeatable platform like Nutanix’s.
Read the full report to learn more.