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Questions and Answers
What is the main bottleneck identified in the performance of LLM serving in vLLM?
What is the main bottleneck identified in the performance of LLM serving in vLLM?
- Input/output lengths
- Overreservation of memory
- Memory management of the KV cache (correct)
- Dynamic sequence length
In the experiments, how much higher throughput does vLLM achieve compared to HF?
In the experiments, how much higher throughput does vLLM achieve compared to HF?
- Up to 3.5x higher
- Up to 14x higher
- Up to 8.5x higher
- Up to 24x higher (correct)
What factor contributes to the large and dynamic nature of the KV cache?
What factor contributes to the large and dynamic nature of the KV cache?
- The size of the GPU memory
- The ShareGPT dataset
- The autoregressive decoding process
- The unpredictable sequence length (correct)
What is the main advantage of vLLM equipped with PagedAttention?
What is the main advantage of vLLM equipped with PagedAttention?
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What problem does vLLM aim to solve?
What problem does vLLM aim to solve?
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Where has vLLM been deployed for the past two months?
Where has vLLM been deployed for the past two months?
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What is the core technology behind vLLM?
What is the core technology behind vLLM?
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What was the reason for developing the FastChat-vLLM integration?
What was the reason for developing the FastChat-vLLM integration?
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Which models did LMSYS develop and make publicly available?
Which models did LMSYS develop and make publicly available?
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What did the internal micro-benchmark by LMSYS reveal about the vLLM serving backend?
What did the internal micro-benchmark by LMSYS reveal about the vLLM serving backend?
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