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

Semiconductor Engineering

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

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... » read more The post Concurrent HBM And Host Memory Access Improves LLM Inference Throughput (Georgia Tech, N

Continue with the complete report on the publisher’s website.

Read full article at Semiconductor Engineering
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By Semiconductor Engineering

22 September 2026|1 min read
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