Continuous Batching vs. Static Batching in LLM Serving
Continuous batching keeps GPU slots filled while static methods leave them idle.
Adaeze Okonkwo
Staff Writer, Attention and Long-Context
Adaeze Okonkwo
Adaeze Okonkwo began her career benchmarking NLP models for a Lagos-based AI consultancy before moving to technology writing in 2019. She specializes in the algorithmic and hardware trade-offs that emerge when attention mechanisms scale to very long sequences.
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vLLM Architecture for High-Throughput LLM Serving
vLLM uses paged memory and intelligent scheduling to cut GPU idle time from 60-80% to under 4%.
Adaeze Okonkwo