docker支持gpu，docker可以通过nvidia-docker2来使用GPU。在daemon.json文件中配置runtime使用nvidia，启动容器后运行nvidia-smi就能看到所有的GPU。
docker挂载 GPU的方法介绍：
使用 nvidia-docker2
简言之，使用 nvidia-docker2，可以不费吹灰之力就能使用到 GPU，仅仅需要配置 runtime 使用 nvidia
cat /etc/docker/daemon.json
{
"default-runtime": "nvidia",
"runtimes": {
"nvidia": {
"path": "/usr/bin/nvidia-container-runtime",
"runtimeArgs": []
}
},
"exec-opts": ["native.cgroupdriver=systemd"]
}启动容器之后，运行 nvidia-smi 能看到所有的 GPU 卡：
[root@localhost] docker run -it 98b41a1e975d bash root@6db1dd28459d:/notebooks# nvidia-smi +-----------------------------------------------------------------------------+ | NVIDIA-SMI 410.79 Driver Version: 410.79 CUDA Version: 10.0 | |-------------------------------+----------------------+----------------------+ | GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC | | Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. | |===============================+======================+======================| | 0 Tesla V100-SXM2... On | 00000000:8A:00.0 Off | 0 | | N/A 40C P0 57W / 300W | 4053MiB / 16130MiB | 4% Default | +-------------------------------+----------------------+----------------------+ | 1 Tesla V100-SXM2... On | 00000000:8B:00.0 Off | 0 | | N/A 38C P0 40W / 300W | 0MiB / 16130MiB | 0% Default | +-------------------------------+----------------------+----------------------+ | 2 Tesla V100-SXM2... On | 00000000:8C:00.0 Off | 0 | | N/A 42C P0 46W / 300W | 0MiB / 16130MiB | 0% Default | +-------------------------------+----------------------+----------------------+ | 3 Tesla V100-SXM2... On | 00000000:8D:00.0 Off | 0 | | N/A 39C P0 40W / 300W | 0MiB / 16130MiB | 0% Default | +-------------------------------+----------------------+----------------------+ | 4 Tesla V100-SXM2... On | 00000000:B3:00.0 Off | 0 | | N/A 39C P0 42W / 300W | 0MiB / 16130MiB | 0% Default | +-------------------------------+----------------------+----------------------+ | 5 Tesla V100-SXM2... On | 00000000:B4:00.0 Off | 0 | | N/A 41C P0 57W / 300W | 7279MiB / 16130MiB | 4% Default | +-------------------------------+----------------------+----------------------+ | 6 Tesla V100-SXM2... On | 00000000:B5:00.0 Off | 0 | | N/A 40C P0 45W / 300W | 0MiB / 16130MiB | 0% Default | +-------------------------------+----------------------+----------------------+ | 7 Tesla V100-SXM2... On | 00000000:B6:00.0 Off | 0 | | N/A 41C P0 44W / 300W | 0MiB / 16130MiB | 0% Default | +-------------------------------+----------------------+----------------------+ +-----------------------------------------------------------------------------+ | Processes: GPU Memory | | GPU PID Type Process name Usage | |=============================================================================| +-----------------------------------------------------------------------------+
通过 NVIDIA_DRIVER_CAPABILITIES 可以加入部分的 library。通过 NVIDIA_VISIBLE_DEVICES 可以只使用某些 GPU 卡
[root@localhost cuda-9.0]# docker run -it --env NVIDIA_DRIVER_CAPABILITIES="compute,utility" --env NVIDIA_VISIBLE_DEVICES=0,1 98b41a1e975d bash root@97bf127ff83a:/notebooks# nvidia-smi Tue Oct 15 09:29:45 2019 +-----------------------------------------------------------------------------+ | NVIDIA-SMI 410.79 Driver Version: 410.79 CUDA Version: 10.0 | |-------------------------------+----------------------+----------------------+ | GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC | | Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. | |===============================+======================+======================| | 0 Tesla V100-SXM2... On | 00000000:8A:00.0 Off | 0 | | N/A 39C P0 57W / 300W | 4053MiB / 16130MiB | 3% Default | +-------------------------------+----------------------+----------------------+ | 1 Tesla V100-SXM2... On | 00000000:8B:00.0 Off | 0 | | N/A 37C P0 40W / 300W | 0MiB / 16130MiB | 0% Default | +-------------------------------+----------------------+----------------------+ +-----------------------------------------------------------------------------+ | Processes: GPU Memory | | GPU PID Type Process name Usage | |=============================================================================| +-----------------------------------------------------------------------------+
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