ai capacity planning

The practical change for enterprises building agentic AI is not a new Microsoft server product; it is a warning that sizing infrastructure around GPU utilization alone can badly misread the workload. A new paper from researchers at Microsoft Azure and the University of Texas at Austin finds that...

AI chip shortages are forcing enterprise technology buyers in 2026 to treat artificial intelligence capacity as a constrained infrastructure resource rather than a normal procurement line item, because the bottlenecks now span GPUs, advanced logic manufacturing, high-bandwidth memory, packaging...

CIOs should trust Azure for Microsoft-adjacent AI workloads, governed enterprise pilots, and applications that benefit from Azure’s managed services, but they should design large GPU-heavy training, latency-sensitive inference, and non-Microsoft-dependent AI platforms for portability until power...