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MemExplorer: Navigating the Heterogeneous Memory Design Space for Agentic Inference NPUs
Emerging agentic large language model (LLM) workloads are driving rapidly growing demand for memory capacity and bandwidth. Different phases of inference, such as prefill and decode, have distinct requirements. Industry is responding by combining heterogeneous accelerators into interconnected system
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