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Efficient LLM Serving with Memory-Heterogeneous Accelerators Reduces Costs

LLM inference involves a compute-bound prefill phase and a memory-bound decode phase, typically handled by costly HBM GPUs. The proposed MemHA approach pairs GDDR-based accelerators for prefill with HBM-based GPUs for decode, reducing costs without sacrificing performance.

Topic: LLM Inference Source: arXiv · arxiv.org Published 2026-06-29 09:00 UTC Fetched 2026-06-30 09:19 UTC

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This approach addresses the inefficiency of underutilized HBM bandwidth during prefill, enabling more cost-effective LLM serving in datacenters. It offers a practical way to optimize hardware usage by leveraging memory heterogeneity.

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Score 78 Source Type arxiv Reposts 0 Topic Quality 62

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