dtrifiro added 5 commits August 12, 2024 18:31 deps: bump vllm-tgis-adapter to 0.2.4 a58d5f2 Dockerfile.ubi: force using python-installed cuda runtime libraries 6b47904 Dockerfile: use uv pip everywhere (it's faster) 2d71e49 Dockerfile.ubi: bump flashinfer to 0.1.2 d7862bd ...
FROM nvcr.io/nvidia/cuda:12.6.1-runtime-ubuntu24.04 tianleiwu marked this conversation as resolved. Show resolved ENV DEBIAN_FRONTEND=noninteractive# Copy built wheel and license COPY --from=0 /code/build/Linux/Release/dist /ort COPY --from=0 /code/dockerfiles/LICENSE-IMAGE.txt /code/LICE...
其中,OPENCV_DIR为opencv编译安装的地址;LIB_DIR为下载(paddle_inference文件夹)或者编译生成的Paddle预测库地址(build/paddle_inference_install_dir文件夹);CUDA_LIB_DIR为cuda库文件地址,在docker中为/usr/local/cuda/lib64;CUDNN_LIB_DIR为cudnn库文件地址,在docker中为/usr/lib/x86_64-linux-gnu/。注意:以上...
步骤3:构建支持GPU的Docker镜像 在构建Docker镜像时,你需要确保镜像中包含了GPU驱动和CUDA等相关库。下面是一个Dockerfile示例: FROMnvidia/cuda:11.0-baseRUNapt-get update && apt-get install -y\build-essential\cuda-command-line-tools-11-0\cuda-libraries-dev-11-0\cuda-minimal-build-11-0\cuda-nvml-d...
4、安装cuda 4-1、验证CUDA安装成功 5、安装cudnn 5-1、验证cudnn安装成功 6、相关docker下载 7、Pytorch安装 最近为了搞模型线上部署,安装了好几次线上机器的相关软件,本篇文章重点记录一下,相关的踩坑过程 这里以Ubuntu 20.04.3 LTS版本为例 1、禁止Nouveau ...
docker run --runtime=nvidia -it nvidia/cuda:10.1-cudnn7-devel-ubuntu18.04 And everything “just worked”. Although nvidia-smi in the container still reports driver 396.37 (this is expected), you can compile and run CUDA codes normally using the installed cuda 10.1 too...
docker: Error response from daemon: Container command 'nvidia-smi' not found or does not exist.. Error: Docker does not find Nvidia drivers I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:150] kernel reported version is: 352.93 I tensorflow/core/common_runtime/gpu/gpu_init.cc:81] No ...
You are probably using a workstation or cloud instance with Linux. The really interesting part is shown on the right side of the image: Containers with the nvidia-docker runtime. Those containers can use the GPU of the host system. You just need a CUDA enabled GPU and the drivers on...
Use cGPU by running the Docker command line,Elastic GPU Service:You can use cGPU to isolate GPU resources. This allows multiple containers to share a single GPU. cGPU provides external services as a component of Container Service for Kubernetes (ACK) and
root@debian:~# sudo systemctl restart docker Verify that the GPU is available in container. root@debian:~# docker run --rm --gpus all nvidia/cuda:11.4.0-basenvidia-smiMon Feb 20 10:26:17 2023 +---+ | NVIDIA-SMI 470.161.03 Driver Version: 470.161.03 CUDA Version: 11.4 | |---+...