Agentic AI is driving a complete rethink of compute infrastructure

The shift from static inference to real-time autonomous agents is driving explosive demand for custom silicon, low-latency processing, and distributed AI systems. When artificial intelligence first gained traction in the early 2010s, general-purpose central processing units (CPUs) and graphics-processing units (GPUs) were sufficient to run early neural networks, image generators, and language models. But by…

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