triton server version :2.33.0
xavier version :jetson xavier nx developer kit
p-number: p3668-0000
soc :tegra194
cuda arch bin: 7.2
L4T:35.3.1 jetpack: 5.1.1
Libraries
CUDA: 11.4.315
cuDNN: 8.6.0.166 TensorRT:8.5.2.2
OpenCV: 4.5.4 with CUDA:YES
The command executed is :
docker run --gpus=1 --rm --net=host -v ${PWD}/model_repository:/models nvcr.io/nvidia/tritonserver:23.04-py3
=============================
== Triton Inference Server ==
NVIDIA Release 23.04 (build 58408266)
Triton Server Version 2.33.0
Copyright (c) 2018-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
Various files include modifications (c) NVIDIA CORPORATION & AFFILIATES. All rights reserved.
This container image and its contents are governed by the NVIDIA Deep Learning Container License.
By pulling and using the container, you accept the terms and conditions of this license:
ERROR: The NVIDIA Driver is present, but CUDA failed to initialize. GPU functionality will not be available.
[[ Unable to initialize CUDA driver (error ???) ]]
NVIDIA Tegra driver detected.