Does vllm disaggregated prefilling supports to run multiple model in one single host (with 8 GPUs) ?

[Colstuwjx]

Hi team, I've seen the excellent disaggregated prefilling feature and I've also checked the test script. I'm wondering if it's possible to reuse one single host which has 8 H20 GPU cards and deploy multiple llm models with disaggregated prefilling mode, e.g.:

- CUDA_VISIBLE_DEVICES=0 vllm serve meta-llama/Meta-Llama-3.1-8B-Instruct ... "kv_role":"kv_producer" ...
- CUDA_VISIBLE_DEVICES=1 vllm serve meta-llama/Meta-Llama-3.1-8B-Instruct ... "kv_role":"kv_consumer" ...
- CUDA_VISIBLE_DEVICES=2 vllm serve meta-llama/Meta-Llama-3.1-8B-Instruct ... "kv_role":"kv_consumer" ...
- CUDA_VISIBLE_DEVICES=3 vllm serve Deepseek-R1 ... "kv_role":"kv_producer" ...
- CUDA_VISIBLE_DEVICES=4 vllm serve Deepseek-R1 ... "kv_role":"kv_consumer" ...
- CUDA_VISIBLE_DEVICES=5 vllm serve Deepseek-R1 ... "kv_role":"kv_consumer" ...
- CUDA_VISIBLE_DEVICES=6 vllm serve QWen-32B ... "kv_role":"kv_producer" ...
- CUDA_VISIBLE_DEVICES=7 vllm serve QWen-32B ... "kv_role":"kv_consumer" ...

Is this possible to do so, and also is it a best practice ?
Thanks!