bump TRT_VER to 10.13.0.35

Author: dmitry-tokarev-nv

dockerfile/Dockerfile.triton.trt_llm_backend

@@ -1,10 +1,10 @@
 ARG BASE_IMAGE=nvcr.io/nvidia/tritonserver:25.06-py3-min
 ARG PYTORCH_IMAGE=nvcr.io/nvidia/pytorch:25.06-py3
 ARG NVRTC_VER=12.9.41-1
-ARG TRT_VER=10.11.0.33
+ARG TRT_VER=10.13.0.35
 ARG NCCL_VER=2.27.5-1+cuda12.9
-ARG RELEASE_URL_TRT_x86=https://developer.nvidia.com/downloads/compute/machine-learning/tensorrt/10.11.0/tars/TensorRT-${TRT_VER}.Linux.x86_64-gnu.cuda-12.9.tar.gz
-ARG RELEASE_URL_TRT_ARM=https://developer.nvidia.com/downloads/compute/machine-learning/tensorrt/10.11.0/tars/TensorRT-${TRT_VER}.Linux.aarch64-gnu.cuda-12.9.tar.gz
+ARG RELEASE_URL_TRT_x86=https://developer.nvidia.com/downloads/compute/machine-learning/tensorrt/10.13.0/tars/TensorRT-${TRT_VER}.Linux.x86_64-gnu.cuda-12.9.tar.gz
+ARG RELEASE_URL_TRT_ARM=https://developer.nvidia.com/downloads/compute/machine-learning/tensorrt/10.13.0/tars/TensorRT-${TRT_VER}.Linux.aarch64-gnu.cuda-12.9.tar.gz
 
 # Versions of packages to copy from pytorch image
 ARG FLASH_ATTN_VER=2.7.4.post1