Platform Engineering 2.0: Manage AI Costs and Risks Without Rebuilding (platformengineering.com)

Broadcom has introduced Platform Engineering 2.0, a framework designed to address the challenges posed by integrating AI workloads into existing infrastructure that largely predates AI's rapid evolution. This framework evolves from Platform Engineering 1.0, which focused on developer-centric workflows, to now encompass the complexities introduced by AI—such as unpredictable data inputs, multi-faceted execution planes, and the shifting dynamics of trust between models, tools, and their human operators. With AI's impact on costs and governance becoming increasingly pronounced, Broadcom emphasizes the urgent need for a centralized approach to model governance and workload isolation, aimed at preventing fragmentation and ensuring compliance across diverse teams. The significance of Platform Engineering 2.0 lies in its potential to transform platform engineering into a robust operational foundation for enterprises navigating the AI landscape. By providing a unified control layer for model governance and structural guarantees for workload isolation, the framework helps mitigate security risks while managing increasing AI costs—which, as evidenced by soaring cloud service expenses, can quickly spiral out of control. As organizations adapt to the emergence of autonomous AI agents, establishing a coherent strategy for integrating these capabilities into platform architecture becomes essential. Failure to do so risks not only operational inefficiencies but also positions companies at a competitive disadvantage in an increasingly AI-driven future.