Planning AI Infrastructure Upgrades: Four Steps for Success
TechTarget, Tuesday, September 8th, 2026
TechTarget outlines a proactive four-step approach to planning on-premises AI infrastructure upgrades for performance and governance.
TechTarget's Stephen J. Bigelow explains that AI workloads place heavy demands on compute, networking, storage, power and cooling, so reactive upgrades no longer suffice.
Citing McKinsey's projection that inference could reach 40% of data center demand by 2030, he urges regular, budgeted modernization cycles.
The steps include understanding workload demands, setting clear business goals and metrics, and auditing infrastructure, data quality and storage. Upgrades also address scalability, energy-efficient cooling, and security and compliance needs for AI governance.