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Publication Date: 2026-03-16 20:40:00
Nutanix is positioning its agentic AI solution as a full software stack, purpose-built for real-world enterprise deployments.
The company thinks we have now hit a tipping point where the barrier to success is no longer the model or building individual agents, but the complexity of managing the infrastructure required to securely run thousands of agents at scale.
Nutanix (as an infrastructure specialist) would be likely to say that, but, in fairness, this is absolutely the narrative that we’re hearing from the rest of the industry.
Now focused on providing infrastructure and platform teams with the tools to “build and operate AI factories” today, Nutanix says it will focus on performance, security and compliance with sovereignty requirements.
What is an AI factory?
We can define an AI factory as a collection of platform-level and infrastructure-level technologies and toolsets that work to continuously ingest data and train machine learning models on a continuous basis. Rather than coal or any other form of fuel, this factory runs on data and its machinery is aligned to process intelligence, predictions and autonomous decisions through interconnected compute functions, data pipelines and algorithmic logic. The AI factory ultimately delivers and deploys AI-powered outputs with the scope to scale once any given AI service enjoys widespread user uptake.
We’re now hearing firms talk about how data scientists and agentic AI developers expect easy access to…