Cost and speed
Simplifying Model Serving Across Multiple GPUs with NVIDIA TensorRT Multi-Device Integration in NVIDIA Dynamo-Triton
Our short summary of NVIDIA’s engineering write-up. The full story, with all the detail, is on their blog.
Read the full write-up on developer.nvidia.com (opens in a new tab)Problem
Single GPU cannot handle large generative AI models fast enough, causing high latency for users.
Solution
They added TensorRT multi‑device inference to Triton, letting one model run on many GPUs via NCCL, so requests stay simple while latency drops.
Want the architecture, code and numbers? They’re in the original post.
Read the full write-up on developer.nvidia.com (opens in a new tab)