pin more versions

Signed-off-by: richardhuo-nv <[email protected]>

Author: richardhuo-nv

README.md

@@ -199,7 +199,7 @@ It is recommended to use [NGC PyTorch Container](https://catalog.ngc.nvidia.com/
 
 > [!Note]
 > Ensure that you select a PyTorch container image version that matches the version of TensorRT-LLM you are using.
-> For example, if you are using `tensorrt-llm==1.1.0rc3`, use the PyTorch container image version `25.06`.
+> For example, if you are using `tensorrt-llm==1.1.0rc5`, use the PyTorch container image version `25.06`.
 > To find the correct PyTorch container version for your desired `tensorrt-llm` release, visit the [TensorRT-LLM Dockerfile.multi](https://github.com/NVIDIA/TensorRT-LLM/blob/main/docker/Dockerfile.multi) on GitHub. Switch to the branch that matches your `tensorrt-llm` version, and look for the `BASE_TAG` line to identify the recommended PyTorch container tag.
 
 > [!Important]

docs/support_matrix.md

@@ -67,7 +67,7 @@ If you are using a **GPU**, the following GPU models and architectures are suppo
 | **Build Dependency** | **Version**                                                                      |
 | :------------------- | :------------------------------------------------------------------------------- |
 | **Base Container**   | [25.03](https://catalog.ngc.nvidia.com/orgs/nvidia/containers/cuda-dl-base/tags) |
-| **TensorRT-LLM**     | 1.1.0rc3                                                                         |
+| **TensorRT-LLM**     | 1.1.0rc5                                                                         |
 | **NIXL**             | 0.4.1                                                                            |
 | **vLLM**             | 0.10.1.1                                                                         |
 | **SGLang**           | 0.5.0rc2                                                                         |

pyproject.toml

@@ -48,7 +48,7 @@ Repository = "https://github.com/ai-dynamo/dynamo.git"
 [project.optional-dependencies]
 trtllm =[
     "uvloop",
-    "tensorrt-llm==1.1.0rc3",
+    "tensorrt-llm==1.1.0rc5",
 ]
 
 vllm = [