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papersTODAY 04:00 UTC

BOOST: Concurrent Host Memory and HBM Access to Speed Up LLM Inference

A new arXiv paper proposes BOOST, a technique that lets GPUs read from host memory and high-bandwidth memory at the same time during large language model inference. Because GPU memory capacity and bandwidth are key bottlenecks for throughput, the approach aims to use both memory tiers concurrently rather than treating host memory as a slow fallback. The work targets faster LLM serving on existing CPU-to-GPU interconnect hardware.

arXiv BOOST CPU-to-GPU interconnect GPU memory bandwidth HBM llm-inference

COVERAGE · 1 REPORT · LINKS GO TO THE ORIGINAL OUTLETS

arXiv cs.LGBOOST: Concurrent Access to Host Memory and HBM to Accelerate LLM Inference ↗TODAY 04:00 UTC