The Next Bottleneck In Enterprise AI Isn't Compute. It's Context.
HPE, Thursday, February 19th, 2026
Why inference context - not GPUs alone - is emerging as the defining constraint for scalable, cost-effective enterprise AI.
In this article
As enterprise AI moves from pilots to production, performance and cost are increasingly constrained by how inference context is managed - not by compute alone.
Recomputing inference state at scale creates an invisible infrastructure tax, limiting concurrency and driving up cost per inference.
Treating inference context as a first-class infrastructure resource enables more efficient accelerator use and more predictable, scalable AI economics.