US EditionHardware-Oriented Analysis of Multi-Head Latent Attention (MLA) in DeepSeek-V3 (KU Leuven)
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Hardware-Oriented Analysis of Multi-Head Latent Attention (MLA) in DeepSeek-V3 (KU Leuven)
A new technical paper titled “Hardware-Centric Analysis of DeepSeek’s Multi-Head Latent Attention” was published by researchers at KU Leuven. Abstract “Multi-Head Latent Attention (MLA), introduced in DeepSeek-V2, improves the efficiency of large language models by projecting query, key, and value tensors into a compact latent space. This architectural change reduces the KV-cache size and significantly lowers memory bandwidth demands, particular…
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