AI infrastructure buildouts are moving so fast that plans made just months ago are already obsolete, forcing hardware makers to rewrite how they design, source and ship the systems powering the next generation of AI factories.
The shift from single-shot retrieval-augmented generation toward agentic AI has reshaped what enterprises need from their compute stacks almost overnight, according to Vik Malyala (pictured), chief business officer at Super Micro Computer Inc.
“Whatever we think is the pace at which the industry is moving, three months later, it is proving us wrong,” Malyala told theCUBE, SiliconANGLE Media’s livestreaming studio. “Now we are talking about heavy use of agentic AI across the board, and we have a strong demand that is coming up not just on a GPU, but also on the CPU because of that.”
Malyala spoke with theCUBE’s Dave Vellante and John Furrier at AMD Advancing AI 2026, during an exclusive broadcast on theCUBE, SiliconANGLE Media’s livestreaming studio. They discussed AI infrastructure supply constraints, the AMD partnership and how agentic workloads are redrawing rack-scale design. (* Disclosure below.)
Supply constraints reshape AI infrastructure design choices
Component scarcity, particularly in memory, has forced Supermicro to work directly with suppliers such as Micron, Samsung and SK Hynix to secure allocation, Malyala explained. That constraint is reshaping customer expectations around delivery timelines as much as pricing.
“No matter how much planning that we have, we know for a fact the supply is a lot more constrained than ever before,” he said. “We set expectations to customers that it’s no longer possible to have a system ship in like a nine or 10 days. It takes longer time.”
Supermicro’s $60 billion order backlog reflects broadening adoption across banking, financial services and enterprise compute environments, not just hyperscale training clusters, Malyala noted. That demand is now shifting attention toward CPU-bound orchestration as agentic workloads multiply.
“It’s a criminal waste not to have the best compute to orchestrate all of that,” Malyala said. “Businesses need the cost of tokens to come down to a reasonable level, then it’ll be adopted and the business is profitable.”
Stay tuned for the complete video interview, part of SiliconANGLE’s and theCUBE’s coverage of AMD Advancing AI 2026.
(* Disclosure: TheCUBE is a paid media partner for AMD Advancing AI 2026. Sponsors of theCUBE’s event coverage do not have editorial control over content on theCUBE or SiliconANGLE.)
Photo: SiliconANGLE
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