Knowledge
Why AI Factories Need Purpose-Built AI Servers
The rack is becoming the AI system. Here is why GPU count alone no longer defines a production-ready AI server—and what buyers should evaluate instead.
Immersion Cooling Moves into the AI Infrastructure Mainstream
AI rack density is forcing cooling decisions earlier in the buying process. Immersion cooling can unlock density, but only when servers...
Compute Containers: A Faster Route to New AI Capacity
Factory-integrated compute containers can compress the deployment schedule for AI and edge capacity. The fastest projects still begin w...
How Data Center GPU Repair Extends Accelerator Lifespan
A failed accelerator is not only a hardware problem—it is stranded compute capacity. A structured repair and spares program can lower l...
Custom Server ODM: When Standard Hardware Falls Short
Most projects should begin with a standard platform. ODM engineering becomes valuable when form factor, topology, environment, firmware...
AI Data Center O&M: Why Operations Matter After Deployment
The handover date is not the end of an AI infrastructure project. High utilization and tightly coupled power, cooling, networking, and accelerators make operations a design discipline.
