Can vllm serve Handle Concurrent Requests Efficiently with These Parameters?

[Sami6720]

Hello,

I'm currently using vllm to serve the LLaMA Vision model (meta-llama/Llama-3.2-11B-Vision-Instruct) on an HPC setup, and I would like to confirm that my configuration can handle concurrent requests efficiently. Here's the command I'm using:

vllm serve "meta-llama/Llama-3.2-11B-Vision-Instruct" --gpu-memory-utilization 0.85 --max-model-len 1024 --enforce-eager --max-num-seqs=20

A few specific questions I have are:

1. With this configuration, will vllm serve be able to handle multiple requests at the same time? Are there any parameters I should adjust to ensure it can handle high traffic without significant bottlenecks?
2. Does setting --max-num-seqs=20 influence concurrency, and are there any other flags or options that would help optimize request throughput in a multi-request setting?
3. Given that I’m setting --gpu-memory-utilization to 0.85, is this optimal for maximizing throughput without risking memory overuse, or would a slightly lower value be more robust for concurrency?

Any insights into fine-tuning these parameters for concurrent usage would be greatly appreciated. Thank you for your time and help!