DadgogoAI Dictionary

Dictionary entry

LLM serving

noun

also large language model serving or model serving

Definition of LLM serving

  1. : the infrastructure and systems work of deploying a trained large language model so it can receive concurrent inference requests and return outputs with acceptable latency, throughput, reliability, and cost

    • The team improved LLM serving by batching requests that reached the GPU at nearly the same time.
    • Long prompts created an LLM serving bottleneck because prefill work delayed short interactive requests.
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Origin & history

Model serving is an older machine-learning term for making trained models available to applications. LLM serving became a distinct systems field around 2022 and 2023 as autoregressive generation, variable-length requests, KV-cache memory, and the separate prefill and decode phases created performance problems that general model servers were not designed to solve.

Editorial references

Sources & further reading

3 sources
  1. Efficient Memory Management for Large Language Model Serving with PagedAttention Research Paper · ACM SOSP / arXiv · 2023-09-12
  2. Fairness in Serving Large Language Models Research Paper · USENIX OSDI · 2024
  3. Efficient LLM Serving on Commodity GPU Clusters with Data-Reduced Cross-Instance Orchestration Research Paper · USENIX OSDI · 2026-07

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Cite this entry

"LLM serving." AI Dictionary, Dadgogo, https://dadgogo.com/dictionary/llm-serving/. Accessed 15 Oct. 2026.

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