Why orchestration, not infrastructure, will define the agentic AI enterprise – dqindia.com
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Daryush Ashjari, Chief technology Officer & VP Solution Engineering – APJ, Nutanix
The shift from AI assistants to fully autonomous digital teammates is quietly rewriting the foundations of enterprise architecture. What began as copilots embedded into productivity tools is now evolving into agentic systems capable of making decisions about where workloads run, how resources are consumed, and how outcomes are optimised across the business.
This transition places unprecedented demands on infrastructure. Agentic AI does not operate in bursts. It requires continuous inference, ultra-low latency, and a unified operational fabric that spans core data centres, edge environments, and public and private clouds. At the same time, enterprises must balance speed with security, and autonomy with governance, as AI agents increasingly act without direct human instruction.
Daryush Ashjari, Chief Technology Officer and Vice President of Solution Engineering for APJ at Nutanix, says that as agentic AI matures, traditional infrastructure concerns will recede into the background. The real competitive advantage, he says, will lie in orchestration intelligence: the ability to coordinate multi-agent systems seamlessly, securely, and at scale across heterogeneous environments.
Drawing on Nutanix’s experience supporting over 29,000 customers globally, Ashjari explains how enterprises are extending the operational discipline they built for virtual machines into Kubernetes-based, AI-native workloads. The goal is not just performance efficiency, but governance across the entire AI lifecycle, from model services and inference to security and compliance.
As agentic AI adoption accelerates across sectors such as financial services, telecoms, and large global enterprises, Ashjari believes the winners will be those that design for flexibility and intelligent coordination from the outset. In this emerging paradigm, AI is no longer a tool confined to isolated use cases, but a trusted digital teammate embedded deep within the enterprise operating model.
Ashjari believes that the evolution from AI assistants such as Copilot, Gemini, and ChatGPT to fully agentic digital teammates is reshaping enterprise architecture for speed, security, and scalability. Agentic AI requires continuous inference, ultra-low latency, and a unified fabric that spans core, edge, private, and public clouds.
Nutanix is driving this shift through the Nutanix Cloud Platform and Nutanix Enterprise AI, with deep integrations across AI technologies such as NVIDIA NIM and NeMo microservices, along with the Kubernetes ecosystem. This enables organisations to run agentic workloads wherever they deliver the most value.
“Our approach optimises resource utilisation, reduces complexity, and strengthens governance across the AI lifecycle through shared model services, reusable endpoints, and a secure, centralised repository”, says Ashjari.
Clearly, AI agents begin to autonomously decide where and how they run, infrastructure will increasingly fade into the background, and orchestration intelligence will become the true differentiator. We are already seeing this trend accelerate in financial services, telecoms, and global enterprises, where resilient, scalable multi-agent systems are critical.
The organisations that succeed will be those that embrace flexibility, governance, and intelligent coordination, laying the foundation for an era where AI is not just a tool, but a trusted teammate driving business outcomes.
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