From 28470f10017f9bc6a41cf57684395202ef6985c3 Mon Sep 17 00:00:00 2001 From: Jlonge4 Date: Fri, 28 Aug 2026 11:38:37 -0400 Subject: [PATCH] [None][doc] Fix broken Dynamo TensorRT LLM deployment link in DeepSeek-V3 README Signed-off-by: Jlonge4 --- examples/models/core/deepseek_v3/README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/examples/models/core/deepseek_v3/README.md b/examples/models/core/deepseek_v3/README.md index ab862f58ff79..4f7cc4cb7360 100644 --- a/examples/models/core/deepseek_v3/README.md +++ b/examples/models/core/deepseek_v3/README.md @@ -472,7 +472,7 @@ settings for your specific use case. ### Dynamo NVIDIA Dynamo is a high-throughput low-latency inference framework designed for serving generative AI and reasoning models in multi-node distributed environments. -Dynamo supports TensorRT LLM as one of its inference engine. For details on how to use TensorRT LLM with Dynamo please refer to [LLM Deployment Examples using TensorRT-LLM](https://github.com/ai-dynamo/dynamo/blob/main/examples/tensorrt_llm/README.md) +Dynamo supports TensorRT LLM as one of its inference engine. For details on how to use TensorRT LLM with Dynamo please refer to [LLM Deployment Examples using TensorRT-LLM](https://github.com/ai-dynamo/dynamo/tree/main/examples/backends/trtllm/deploy) ### tensorrtllm_backend for triton inference server (Prototype) To serve the model using [tensorrtllm_backend](https://github.com/triton-inference-server/tensorrtllm_backend.git), make sure the version is v0.19+ in which the pytorch path is added as a prototype feature.