[CONTRIBUTION] Why AI infrastructure planning must happen now

The rapid adoption of artificial intelligence (AI) across industries has revealed a critical need for early infrastructure planning, according to recent reports. AI workloads are increasingly interconnected, distributed, and integrated across various environments, including cloud, data centers, and edge computing. To effectively manage these complex environments, organizations must now consider compute, networking, software, memory, and operational requirements in their infrastructure planning.

Delaying such planning can result in slower deployment readiness and missed opportunities for AI-driven benefits such as productivity improvements and operational automation.

As AI demand continues to surge, companies are recognizing the importance of commencing infrastructure planning sooner rather than later. This proactive approach enables them to secure the necessary compute capacity required to support long-term AI growth. With AI infrastructure becoming more intricate, the time to begin planning should be earlier than in traditional IT environments.