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Shazeer et al. paper reveals inference costs are over 13x higher than necessary

A recent paper by Shazeer et al. suggests that current inference costs for large language models are significantly inflated, potentially by over 13 times the necessary amount. The research highlights inefficiencies in existing inference methods, implying that substantial cost reductions are achievable with optimized approaches. This finding could have major implications for the economic viability and accessibility of AI technologies. AI

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RANK_REASON The cluster contains an academic paper discussing AI inference costs.

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    Shazeer et al (2024): you are overpaying for inference >13x

    **Noam Shazeer** explains how **Character.ai** serves **20% of Google Search Traffic** for LLM inference while reducing serving costs by a factor of **33** compared to late 2022, with leading commercial APIs costing at least **13.5X more**. Key memory-efficiency techniques includ…