The Future is Managed: Why AI Infrastructure Demands a New Kind of Partnership
By Agiphi Team on January 15, 2025

The age of artificial intelligence is no longer on the horizon; it's here. From large language models (LLMs) that power conversational agents to complex computer vision systems, businesses are racing to integrate AI into their core operations. However, this gold rush has revealed a critical gap in the market: the immense difficulty of managing the underlying infrastructure. ### The Vendor Model is Broken for AI Traditionally, businesses have relied on vendors for software and hardware. You buy a license or a server, and the vendor provides support. This model breaks down with AI. An LLM isn't a static piece of software; it's a dynamic system that requires constant monitoring, optimization, and fine-tuning. The infrastructure that runs it involves a complex interplay of GPUs, high-speed networking, and specialized software stacks. Simply buying the components from different vendors and trying to stitch them together is a recipe for failure. It leads to spiraling costs, unreliable performance, and a constant struggle to keep up with the rapid pace of innovation.