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AI Infrastructure

AI infrastructure refers to the hardware and software systems required to develop, deploy, and operate artificial intelligence at scale. This topic covers compute platforms, data pipelines, networking, and system architectures that support AI workloads in robotics, automation, and enterprise environments. It also explores the balance between centralized data centers and edge deployment, as well as scalability and efficiency challenges. AI infrastructure increasingly determines the performance and feasibility of advanced AI systems. As AI adoption accelerates, infrastructure becomes a strategic foundation rather than a supporting layer.