Real ChatGPT answer · index seedqqZ0cznjXOscompleteB2B software · AI and automation toolsinformational
I am researching LLM inference optimization and want to know how continuous batching actually improves overall throughput.
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The searches the AI actually ran for this prompt.
SEED QUERY
I am researching LLM inference optimization and want to know how continuous batching actually improves overall throughput.
1 real search · 1 real-search pass
continuous batching LLM inference iteration-level scheduling throughput vLLM paper Orca iteration-level schedulingGoogle ↗
OBSERVEDReason
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ChatGPT real searches (1)
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Searches and sources
ChatGPT1 real searches · gpt-6
continuous batching LLM inference iteration-level scheduling throughput vLLM paper Orca iteration-level scheduling Google ↗
- vLLM: An Efficient Inference Engine for Large Language Models · www2.eecs.berkeley.edu
- conference proceedings 18th USENIX Symposium on O · usenix.org
- Taming Throughput-Latency Tradeoff in LLM Inference with Sarathi-Serve · arxiv.org
- that increasing load can significantly increase tail latency in a state-of-the-art LLM serving system vLLM [53]. · usenix.org
- Read the Orca paper · usenix.org
- Read the vLLM paper · arxiv.org
- Read the DistServe paper · arxiv.org