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Accelerating LLM Inference via Vector Index Based Output Embeddings
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inference optimizationvector indexingautoregressive models
2608.27460
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2h ago80%
Abstract
The paper addresses memory bandwidth bottlenecks in autoregressive decoding of compact LLMs by using an HNSW-based vector index for output projections.
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Core Claim
The proposed method accelerates output projection and improves end-to-end batch-size-one decoding throughput by up to 82% for the Gemma 3 270M model while maintaining generation quality.
Method / Result
Improved decoding throughput by up to 82% for Gemma 3 270M.
Limitations
The paper does not specify potential limitations or reproducibility concerns.
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