"It's a very broad question. But, to start, I think it's important to point out that this is in some respects an entirely new form of business logic and a new form of computing. And so, the first question becomes, if agentic systems are reasoning models coupled with agents that perform tasks by leveraging reasoning models, as well as different tools that have been allocated to them to help them accomplish their tasks ... these models need to run on very high-performance machinery."
"Today's AI infrastructure often runs best on GPUs [graphics processing units] and other types of AI accelerators. And so, the first question becomes, how do you prepare the compute infrastructure for this new form of computing? And here, customers talk about deploying AI factories and RAG [retrieval augmented generation], and AI agent deployment tends to be the initial use case people think about as they start to deploy these AI factories."
"And to meet that need, the entire IT infrastructure - and storage in particular - will be affected. Those are the views of Jeff Denworth, co-founder of Vast Data, who talks in this podcast about the challenges of agentic AI infrastructure for IT departments, the challenges to storage of agentic AI, and how customers can begin to meet those challenges across their datacentres and the cloud."
Agentic AI represents a new form of business logic and computing that couples reasoning models with autonomous agents and toolsets. Deployments could scale to thousands of agents per employee, driving a major technology refresh that stresses compute, networking and storage. High-performance machinery, especially GPUs and AI accelerators, will be required alongside fast interconnects linking processors to data repositories. AI factories and retrieval-augmented generation (RAG) workflows create tightly coupled systems that demand coordinated provisioning. IT teams must clearly specify capacity, avoid over-buying, and ensure storage and compute architectures align with application and database teams across datacentres and cloud environments.
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