'The biggest shift happens when AI stops being a tool people occasionally use and becomes part of the operational…
As AI systems continue to evolve and advance, it's not just data center architecture being affected, but the wider infrastructure industry as a whole.
As Agentic AI workloads continue to scale, it is the CPU layer being particularly affected, with efficiency, coordination, and cost per task become increasingly important defining factors.
We spoke to Mohamed Awad, EVP, Cloud AI at Arm, to find out more.
- Gartner predicts that over 40% of agentic AI projects will be canceled by 2027 due to operationalization difficulties. How does Arm’s approach to "system-level" architecture specifically address the friction points, like cost and complexity, that are causing these cancellations?
I think the Gartner prediction reinforces something we’re hearing broadly across the industry. Most organizations aren’t struggling because today’s models aren’t capable enough. They’re struggling because operationalizing AI at scale is fundamentally different from demonstrating it in a pilot.
At the largest scale, we're seeing...
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