From the EG AI Team
Perspectives on private AI infrastructure, data sovereignty, and the mid-market opportunity.
Training vs. Inference: What the Shift Means for AI Infrastructure Buyers
Inference has quietly become the larger AI workload. Here is why that changes what infrastructure buyers should actually be evaluating. A lot…
HIPAA AI Infrastructure: Why Compliance-Sensitive Workloads Cannot Run on Shared Systems
HIPAA AI infrastructure describes an operational state, not a product category. It depends on how AI systems access, process, and store electronic…
Single-Tenant AI Infrastructure vs. Cloud: The 2026 Enterprise Decision Framework
For enterprise organizations evaluating AI infrastructure in 2026, the question is no longer cloud vs. on-premise. It is shared vs. dedicated, and…
Why DFW Is the Most Critical AI Infrastructure Market in the US Right Now
The supply data, the demand signal, and what the gap means for enterprise organizations planning AI deployments in 2026 and beyond. Dallas–Fort…
Why Dedicated AI Infrastructure Is the Only Viable Path for Enterprise AI in 2026
The conversation around AI infrastructure has shifted. It is no longer a question of whether enterprises will need dedicated compute capacity. It…
What Is a Data Center? A Guide for Enterprise Decision-Makers
The physical layer of AI that enterprise teams often underestimate, explained for decision-makers, not engineers. Every email, AI tool, cloud application, and…