Concurrent HBM And Host Memory Access Improves LLM Inference Throughput (Georgia Tech, Nvidia, Stanford)

<p>Researchers at Georgia Tech, Nvidia Research, and Stanford University published a technical paper titled “BOOST: Concurrent Access to Host Memory and HBM to Accelerate LLM Inference.” Abstract Excerpt: “This paper presents BOOST, the first runtime system that provides concurrent and proportional access to both GPU memory tiers, extracting the combined bandwidth of host memory and... <a class="read_more" href="https://semiengineering.com/concurrent-hbm-and-host-memory-access-improves-llm-inference-throughput-georgia-tech-nvidia-stanford/">&#187; read more</a></p> <p>The post <a href="https://semiengineering.com/concurrent-hbm-and-host-memory-access-improves-llm-inference-throughput-georgia-tech-nvidia-stanford/">Concurrent HBM And Host Memory Access Improves LLM Inference Throughput (Georgia Tech, Nvidia, Stanford)</a> appeared first on <a href="https://semiengineering.com">Semiconductor Engineering</a>.</p>