에이전트에게 '메탈'이란 무엇인가? 엔터프라이즈 AI 아키텍처 탐색

Enterprise AI has reached a critical turning point as organizations move from isolated, chat-based experimentation to complex reasoning models and autonomous agents. While the productivity gains are real, underlying infrastructure costs are escalating rapidly, with token consumption predicted to increase 24x by 2030 . Relying entirely on external clouds and proprietary APIs means your expenses scale directly with business growth, introducing major predictability and cost issues. When technology moves this fast, treating it as a series of disconnected software tools creates unnecessary technical debt.

Bespoke scaffolding creates fragmented solutions that fail to scale. At Red Hat Summit 2026, Red Hat CTO Chris Wright introduced a unified framework to address this complexity called metal to agents . We look at this framework as an open, collaboratively-developed standard AI operating system (AI OS). Decades ago, we built a standard version of Linux across fragmented server environments to give customers architectural flexibility. Building a standard AI OS does the same thing for the era of intelligent applications.

This integrated, open source stack spans from physical hardware and accelerators in the data center up to the autonomous AI agents delivering business value. It establishes a common platform for managing and optimizing AI inference workloads at scale, supporting a "train once, infer repeatedly" approach. Controlling the full stack on hybrid infrastructure helps your organization transition from being a token consumer to becoming your own token provider, helping you regain control over inference costs and platform governance.

The metal to agents framework organizes enterprise AI into 4 interconnected software layers built on a flexible hardware foundation, with "metal" (hardware) at the bottom and "agents" (agent services) at the top. This structure helps organizations avoid vendor lock-in and they're able to swap components as the market evolves. Before defining the software stack, an enterprise must establish its physical deployment strategy.