Here is an example guiding how to use `launch_online_dp.py` to launch external dp vLLM servers. User can easily launch external dp servers following the steps below:
`run_dp_template.sh` is a template script used to launch each data parallel (dp) vLLM instance separately. It will be called by `launch_online_dp.py` in multiple threads and most of its configurations are set by `launch_online_dp.py`. Parameters you need to set manually include:
1. The IP and socket_ifname of your machine. If running on multi-nodes, please make sure the scripts on each node has been set with correct IP and socket_ifname of that node.
2. vLLM serving related parameters including model_path and other configurations. Note that port, dp-related parameters and tp_size is set by `launch_online_dp.py`, all the other vLLM parameters in this file only serve as an example and you are free to modify them according to your purpose.
External dp server means that you need to handle load balance between multiple dp instances out of vLLM by implementing your custom proxy server. Here we provide an example of request-length-aware dp load-balance proxy server for you. The arguments of `dp_load_balance_proxy_server.py` include:
which will then serve as the entrypoint for inference requests at x.x.x.c:8000, and load balance coming requests between these two external dp servers according to request length.
