lmdeploy and vllm have custom backends for Nvidia Triton Inference Server, which then actually serves up models. lmdeploy is a little more mature as it essentia

lmdeploy and vllm have custom backends for Nvidia Triton Inference Server, which then actually serves up models. lmdeploy is a little more mature as it essentially uses Triton by default but I expect vllm to come along quickly as Triton Inference Server has been the "go to" for high scale and high performance serving of models for years for a variety of reasons. It appears that we'll see TensorRT-LLM integrated in Triton Inference Server directly: https://github.com/vllm-project/vllm/issues/541 https://github.com/vllm-project/vllm/issues/541 How all of this will interact (vllm/lmdeploy backends + Triton + TensorRT-LLM) isn't quite clear to me right now.