CDI 是什么？
Container Device Interface (CDI) 是一个提议的标准，它定义了如何在容器运行时环境中向容器提供设备。这个提议的目的是使得设备供应商能够更容易地将其设备集成到 Kubernetes 集群中，而不必修改 Kubernetes 核心代码。
CDI 插件通常负责：
- 配置设备以供容器使用（例如，分配设备文件或设置必要的环境变量）。
- 在容器启动时将设备资源注入到容器中。
官网
为什么需要CDI？
如果我们想在容器内使用 nvidia 的 gpu，在没有 CDI 之前，我们需要修改 containerd 的 low-level container runtime(runc) 到 nvidia runtime。这么做的原因就是使用 gpu 不单单要绑定 gpu device 文件到容器内，还需要绑定一些驱动文件和可执行命令（比如 nvidia-smi）等到容器内，还有就执行一些 hooks。 nvidia runtime 的作用就是绑定一些文件和执行一些 hooks 然后调用 runc。
现在我们可以使用 CDI 做这些事情，除了无需修改 runtime 外，还有抽象和插件化等优点。
版本及准备工作
- kubelet version >= 1.28.0
- containerd version >= 1.7.0
而且这在 k8s 1.28 (1.29版本是 beta 了 默认就打开了) 版本中是一个 alpha 版本的功能，所以我们需要在 kubelet 的启动参数中加入开启特性门：--feature-gates=DevicePluginCDIDevices =true。
sudo vim /etc/systemd/system/kubelet.service.d/10-kubeadm.conf
ExecStart=/usr/bin/kubelet $KUBELET_KUBECONFIG_ARGS $KUBELET_CONFIG_ARGS $KUBELET_KUBEADM_ARGS $KUBELET_EXTRA_ARGS --feature-gates=DevicePluginCDIDevices=true
containerd 也需要开启 CDI cdi_spec_dirs 为 cdi 配置文件的目录，enable_cdi 为开启 CDI 功能。
sudo vim /etc/containerd/config.toml
cdi_spec_dirs = ["/etc/cdi", "/var/run/cdi"]
enable_cdi = true
重启 containerd 和 kubelet
sudo systemctl restart kubelet.service containerd.service
mock
因为我的集群里没有 gpu , 所以我就随便 mock 几个文件作为 device 了。
sudo mkdir /dev/mock
cd /dev/mock
sudo mknod /dev/mock/device_0 c 89 1
sudo mknod /dev/mock/device_1 c 89 1
sudo mknod /dev/mock/device_2 c 89 1
sudo mknod /dev/mock/device_3 c 89 1
sudo mknod /dev/mock/device_4 c 89 1
sudo mknod /dev/mock/device_5 c 89 1
sudo mknod /dev/mock/device_6 c 89 1
sudo mknod /dev/mock/device_7 c 89 1
sudo vim /mock/bin/list_device.sh
#!/bin/bash
# 定义目录数组
directories=(/dev /dev/mock)
# 遍历目录数组
for dir in "${directories[@]}"; do
# 检查目录是否存在
if [ -d "$dir" ]; then
# 目录存在，打印目录下的所有文件
ls "$dir"
fi
done
sudo chmod a+x /mock/bin/list_device.sh
sudo mkdir /mock/so
cd /mock/so
sudo touch device_0.so device_1.so device_2.so device_3.so device_5.so device_6.so device_7.so device_4.so
开启 kubelet 的 device plugin
下面是简单写的一个 device plugin，及其 dockerfile 还有部署到 k8s 的 yaml 文件。
package main
import (
"context"
"fmt"
"time"
"github.com/kubevirt/device-plugin-manager/pkg/dpm"
pluginapi "k8s.io/kubelet/pkg/apis/deviceplugin/v1beta1"
)
type PluginLister struct {
ResUpdateChan chan dpm.PluginNameList
}
var ResourceNamespace = "mock.com"
var PluginName = "gpu"
func (p *PluginLister) GetResourceNamespace() string {
return ResourceNamespace
}
func (p *PluginLister) Discover(pluginListCh chan dpm.PluginNameList) {
pluginListCh <- dpm.PluginNameList{PluginName}
}
func (p *PluginLister) NewPlugin(name string) dpm.PluginInterface {
return &Plugin{}
}
type Plugin struct {
}
func (p *Plugin) GetDevicePluginOptions(ctx context.Context, e *pluginapi.Empty) (*pluginapi.DevicePluginOptions, error) {
options := &pluginapi.DevicePluginOptions{
PreStartRequired: true,
}
return options, nil
}
func (p *Plugin) PreStartContainer(ctx context.Context, r *pluginapi.PreStartContainerRequest) (*pluginapi.PreStartContainerResponse, error) {
return &pluginapi.PreStartContainerResponse{}, nil
}
func (p *Plugin) GetPreferredAllocation(ctx context.Context, r *pluginapi.PreferredAllocationRequest) (*pluginapi.PreferredAllocationResponse, error) {
return &pluginapi.PreferredAllocationResponse{}, nil
}
func (p *Plugin) ListAndWatch(e *pluginapi.Empty, r pluginapi.DevicePlugin_ListAndWatchServer) error {
devices := []*pluginapi.Device{}
for i := 0; i < 8; i++ {
devices = append(devices, &pluginapi.Device{
// 和 device 名称保持一致
ID: fmt.Sprintf("device_%d", i),
Health: pluginapi.Healthy,
})
}
for {
fmt.Println("register devices")
// 每分钟注册一次
r.Send(&pluginapi.ListAndWatchResponse{
Devices: devices,
})
time.Sleep(time.Second * 60)
}
}
func (p *Plugin) Allocate(ctx context.Context, r *pluginapi.AllocateRequest) (*pluginapi.AllocateResponse, error) {
// 使用cdi插件
responses := &pluginapi.AllocateResponse{}
for _, req := range r.ContainerRequests {
cdidevices := []*pluginapi.CDIDevice{}
for _, id := range req.DevicesIDs {
cdidevices = append(cdidevices, &pluginapi.CDIDevice{
Name: fmt.Sprintf("%s/%s=%s", ResourceNamespace, PluginName, id),
})
}
responses.ContainerResponses = append(responses.ContainerResponses, &pluginapi.ContainerAllocateResponse{
CDIDevices: cdidevices,
})
}
return responses, nil
}
func main() {
m := dpm.NewManager(&PluginLister{})
m.Run()
}
FROM golang:1.21.3 as builder
COPY . /src
WORKDIR /src
RUN go env -w GO111MODULE=on && go env -w GOPROXY=https://goproxy.io,direct
RUN go build
FROM debian:bookworm-slim
RUN sed -i 's/deb.debian.org/mirrors.ustc.edu.cn/g' /etc/apt/sources.list.d/debian.sources
RUN apt-get update && apt-get install -y --no-install-recommends \
ca-certificates \
netbase \
pciutils \
curl \
&& rm -rf /var/lib/apt/lists/ \
&& apt-get autoremove -y && apt-get autoclean -y
RUN update-pciids
COPY --from=builder /src /app
WORKDIR /app
apiVersion: v1
kind: Namespace
metadata:
name: mock-plugin
---
apiVersion: apps/v1
kind: DaemonSet
metadata:
name: mock-plugin-daemonset
namespace: mock-plugin
spec:
selector:
matchLabels:
name: mock-plugin
template:
metadata:
labels:
name: mock-plugin
app.kubernetes.io/component: mock-plugin
app.kubernetes.io/name: mock-plugin
spec:
containers:
- image: zhaohaiyu/mock:v1
name: mock-plugin
command: ['/app/mock']
imagePullPolicy: Always
securityContext:
privileged: true
tty: true
volumeMounts:
- name: kubelet
mountPath: /var/lib/kubelet
volumes:
- name: kubelet
hostPath:
path: /var/lib/kubelet
执行完毕使用 kubectl 查看
❯ kubectl -n mock-plugin get pod
NAME READY STATUS RESTARTS AGE
mock-plugin-daemonset-8w2r8 1/1 Running 0 3m27s
查看 node 是否已经注册了 device plugin
kubectl describe node node1
Capacity:
cpu: 8
ephemeral-storage: 102626232Ki
hugepages-1Gi: 0
hugepages-2Mi: 0
memory: 24570324Ki
mock.com/gpu: 8
pods: 110
Allocatable:
cpu: 8
ephemeral-storage: 94580335255
hugepages-1Gi: 0
hugepages-2Mi: 0
memory: 24467924Ki
mock.com/gpu: 8
pods: 110
可以看到已经注册了 8 个 gpu 设备 名字叫 mock.com/gpu 也就是我们代码中定义的。
CDI配置文件
CDI Spec: https://github.com/cncf-tags/container-device-interface/blob/main/SPEC.md
我们也生成了一个 CDI 的配置文件，这个配置文件会被 containerd 读取，然后根据配置文件中的信息去调用 device plugin。
# vim /etc/cdi/mock.yaml
cdiVersion: 0.5.0
kind: mock.com/gpu
devices:
- name: device_0
containerEdits:
deviceNodes:
- hostPath: "/dev/mock/device_0"
path: "/dev/mock/device_0"
type: c
permissions: rw
mounts:
- hostPath: "/mock/so/device_0.so"
containerPath: "/mock/so/device_0.so"
options:
- ro
- nosuid
- nodev
- bind
- name: device_1
containerEdits:
deviceNodes:
- hostPath: "/dev/mock/device_1"
path: "/dev/mock/device_1"
type: c
permissions: rw
mounts:
- hostPath: "/mock/so/device_1.so"
containerPath: "/mock/so/device_1.so"
options:
- ro
- nosuid
- nodev
- bind
- name: device_2
containerEdits:
deviceNodes:
- hostPath: "/dev/mock/device_2"
path: "/dev/mock/device_2"
type: c
permissions: rw
mounts:
- hostPath: "/mock/so/device_2.so"
containerPath: "/mock/so/device_2.so"
options:
- ro
- nosuid
- nodev
- bind
- name: device_3
containerEdits:
deviceNodes:
- hostPath: "/dev/mock/device_3"
path: "/dev/mock/device_3"
type: c
permissions: rw
mounts:
- hostPath: "/mock/so/device_3.so"
containerPath: "/mock/so/device_3.so"
options:
- ro
- nosuid
- nodev
- bind
- name: device_4
containerEdits:
deviceNodes:
- hostPath: "/dev/mock/device_4"
path: "/dev/mock/device_4"
type: c
permissions: rw
mounts:
- hostPath: "/mock/so/device_4.so"
containerPath: "/mock/so/device_4.so"
options:
- ro
- nosuid
- nodev
- bind
- name: device_5
containerEdits:
deviceNodes:
- hostPath: "/dev/mock/device_5"
path: "/dev/mock/device_5"
type: c
permissions: rw
mounts:
- hostPath: "/mock/so/device_5.so"
containerPath: "/mock/so/device_5.so"
options:
- ro
- nosuid
- nodev
- bind
- name: device_6
containerEdits:
deviceNodes:
- hostPath: "/dev/mock/device_6"
path: "/dev/mock/device_6"
type: c
permissions: rw
mounts:
- hostPath: "/mock/so/device_6.so"
containerPath: "/mock/so/device_6.so"
options:
- ro
- nosuid
- nodev
- bind
- name: device_7
containerEdits:
deviceNodes:
- hostPath: "/dev/mock/device_7"
path: "/dev/mock/device_7"
type: c
permissions: rw
mounts:
- hostPath: "/mock/so/device_7.so"
containerPath: "/mock/so/device_7.so"
options:
- ro
- nosuid
- nodev
- bind
containerEdits:
mounts:
- hostPath: "/mock/bin/list_device.sh"
containerPath: "/usr/local/bin/list_device.sh"
options:
- ro
- nosuid
- nodev
- bind
这里我只是简单示例，还有 hooks 和 env 等用法查看官方文档。
部署 pod
我部署一个 pod 使用 mock gpu 这个资源 4个。
apiVersion: v1
kind: Pod
metadata:
name: ubuntu1
spec:
containers:
- name: ubuntu-container
image: ubuntu:latest
command: ["sleep"]
args: ["3600"]
resources:
requests:
memory: "64Mi"
cpu: "250m"
mock.com/gpu: "4"
limits:
memory: "128Mi"
cpu: "500m"
mock.com/gpu: "4"
ubuntu1 1/1 Running 0 49s
现在我们 使用 kubectl exec -it ubuntu1 bash 进入容器看一看。
ls /dev/mock/
device_0 device_1 device_6 device_7
ls /mock/so/
device_0.so device_1.so device_6.so device_7.so
list_device.sh
so
device_0 device_1 device_6 device_7
可以看到我们 cdi 配置文件配置的 device 和 so 文件和还有我们的 list_device.sh 都已经挂载到容器内了。
我现在再启动一个 pod 使用 mock gpu 这个资源 3 个。
apiVersion: v1
kind: Pod
metadata:
name: ubuntu2
spec:
containers:
- name: ubuntu-container
image: ubuntu:latest
command: ["sleep"]
args: ["3600"]
resources:
requests:
memory: "64Mi"
cpu: "250m"
mock.com/gpu: "3"
limits:
memory: "128Mi"
cpu: "500m"
mock.com/gpu: "3"
ls /dev/mock/
device_2 device_3 device_5
查看node使用了多少资源
Allocated resources:
(Total limits may be over 100 percent, i.e., overcommitted.)
Resource Requests Limits
-------- -------- ------
cpu 1550m (19%) 1 (12%)
memory 668Mi (2%) 596Mi (2%)
ephemeral-storage 0 (0%) 0 (0%)
hugepages-1Gi 0 (0%) 0 (0%)
hugepages-2Mi 0 (0%) 0 (0%)
mock.com/gpu 7 7
可以看到我们使用了 7 个 mock.com/gpu 资源，还剩下 1 个。
nvdia gpu
我找了一台带有 nvidia gpu 的机器，然后安装了 nvidia-container-toolkit-base。
使用 nvidia-ctk cdi generate --output=/etc/cdi/nvidia.yaml 生产 cdi 配置文件。
---
cdiVersion: 0.5.0
containerEdits:
deviceNodes:
- path: /dev/nvidia-modeset
- path: /dev/nvidia-uvm
- path: /dev/nvidia-uvm-tools
- path: /dev/nvidiactl
hooks:
- args:
- nvidia-ctk
- hook
- create-symlinks
- --link
- libglxserver_nvidia.so.525.147.05::/usr/lib/x86_64-linux-gnu/nvidia/xorg/libglxserver_nvidia.so
hookName: createContainer
path: /usr/bin/nvidia-ctk
- args:
- nvidia-ctk
- hook
- update-ldcache
- --folder
- /usr/lib/x86_64-linux-gnu
hookName: createContainer
path: /usr/bin/nvidia-ctk
mounts:
- containerPath: /run/nvidia-persistenced/socket
hostPath: /run/nvidia-persistenced/socket
options:
- ro
- nosuid
- nodev
- bind
- noexec
- containerPath: /usr/bin/nvidia-cuda-mps-control
hostPath: /usr/bin/nvidia-cuda-mps-control
options:
- ro
- nosuid
- nodev
- bind
- containerPath: /usr/bin/nvidia-cuda-mps-server
hostPath: /usr/bin/nvidia-cuda-mps-server
options:
- ro
- nosuid
- nodev
- bind
- containerPath: /usr/bin/nvidia-debugdump
hostPath: /usr/bin/nvidia-debugdump
options:
- ro
- nosuid
- nodev
- bind
- containerPath: /usr/bin/nvidia-persistenced
hostPath: /usr/bin/nvidia-persistenced
options:
- ro
- nosuid
- nodev
- bind
- containerPath: /usr/bin/nvidia-smi
hostPath: /usr/bin/nvidia-smi
options:
- ro
- nosuid
- nodev
- bind
- containerPath: /usr/lib/x86_64-linux-gnu/libEGL_nvidia.so.525.147.05
hostPath: /usr/lib/x86_64-linux-gnu/libEGL_nvidia.so.525.147.05
options:
- ro
- nosuid
- nodev
- bind
- containerPath: /usr/lib/x86_64-linux-gnu/libGLESv1_CM_nvidia.so.525.147.05
hostPath: /usr/lib/x86_64-linux-gnu/libGLESv1_CM_nvidia.so.525.147.05
options:
- ro
- nosuid
- nodev
- bind
- containerPath: /usr/lib/x86_64-linux-gnu/libGLESv2_nvidia.so.525.147.05
hostPath: /usr/lib/x86_64-linux-gnu/libGLESv2_nvidia.so.525.147.05
options:
- ro
- nosuid
- nodev
- bind
- containerPath: /usr/lib/x86_64-linux-gnu/libGLX_nvidia.so.525.147.05
hostPath: /usr/lib/x86_64-linux-gnu/libGLX_nvidia.so.525.147.05
options:
- ro
- nosuid
- nodev
- bind
- containerPath: /usr/lib/x86_64-linux-gnu/libcuda.so.525.147.05
hostPath: /usr/lib/x86_64-linux-gnu/libcuda.so.525.147.05
options:
- ro
- nosuid
- nodev
- bind
- containerPath: /usr/lib/x86_64-linux-gnu/libcudadebugger.so.525.147.05
hostPath: /usr/lib/x86_64-linux-gnu/libcudadebugger.so.525.147.05
options:
- ro
- nosuid
- nodev
- bind
- containerPath: /usr/lib/x86_64-linux-gnu/libnvcuvid.so.525.147.05
hostPath: /usr/lib/x86_64-linux-gnu/libnvcuvid.so.525.147.05
options:
- ro
- nosuid
- nodev
- bind
- containerPath: /usr/lib/x86_64-linux-gnu/libnvidia-allocator.so.525.147.05
hostPath: /usr/lib/x86_64-linux-gnu/libnvidia-allocator.so.525.147.05
options:
- ro
- nosuid
- nodev
- bind
- containerPath: /usr/lib/x86_64-linux-gnu/libnvidia-cfg.so.525.147.05
hostPath: /usr/lib/x86_64-linux-gnu/libnvidia-cfg.so.525.147.05
options:
- ro
- nosuid
- nodev
- bind
- containerPath: /usr/lib/x86_64-linux-gnu/libnvidia-compiler.so.525.147.05
hostPath: /usr/lib/x86_64-linux-gnu/libnvidia-compiler.so.525.147.05
options:
- ro
- nosuid
- nodev
- bind
- containerPath: /usr/lib/x86_64-linux-gnu/libnvidia-egl-gbm.so.1.1.0
hostPath: /usr/lib/x86_64-linux-gnu/libnvidia-egl-gbm.so.1.1.0
options:
- ro
- nosuid
- nodev
- bind
- containerPath: /usr/lib/x86_64-linux-gnu/libnvidia-eglcore.so.525.147.05
hostPath: /usr/lib/x86_64-linux-gnu/libnvidia-eglcore.so.525.147.05
options:
- ro
- nosuid
- nodev
- bind
- containerPath: /usr/lib/x86_64-linux-gnu/libnvidia-encode.so.525.147.05
hostPath: /usr/lib/x86_64-linux-gnu/libnvidia-encode.so.525.147.05
options:
- ro
- nosuid
- nodev
- bind
- containerPath: /usr/lib/x86_64-linux-gnu/libnvidia-fbc.so.525.147.05
hostPath: /usr/lib/x86_64-linux-gnu/libnvidia-fbc.so.525.147.05
options:
- ro
- nosuid
- nodev
- bind
- containerPath: /usr/lib/x86_64-linux-gnu/libnvidia-glcore.so.525.147.05
hostPath: /usr/lib/x86_64-linux-gnu/libnvidia-glcore.so.525.147.05
options:
- ro
- nosuid
- nodev
- bind
- containerPath: /usr/lib/x86_64-linux-gnu/libnvidia-glsi.so.525.147.05
hostPath: /usr/lib/x86_64-linux-gnu/libnvidia-glsi.so.525.147.05
options:
- ro
- nosuid
- nodev
- bind
- containerPath: /usr/lib/x86_64-linux-gnu/libnvidia-glvkspirv.so.525.147.05
hostPath: /usr/lib/x86_64-linux-gnu/libnvidia-glvkspirv.so.525.147.05
options:
- ro
- nosuid
- nodev
- bind
- containerPath: /usr/lib/x86_64-linux-gnu/libnvidia-ml.so.525.147.05
hostPath: /usr/lib/x86_64-linux-gnu/libnvidia-ml.so.525.147.05
options:
- ro
- nosuid
- nodev
- bind
- containerPath: /usr/lib/x86_64-linux-gnu/libnvidia-ngx.so.525.147.05
hostPath: /usr/lib/x86_64-linux-gnu/libnvidia-ngx.so.525.147.05
options:
- ro
- nosuid
- nodev
- bind
- containerPath: /usr/lib/x86_64-linux-gnu/libnvidia-nvvm.so.525.147.05
hostPath: /usr/lib/x86_64-linux-gnu/libnvidia-nvvm.so.525.147.05
options:
- ro
- nosuid
- nodev
- bind
- containerPath: /usr/lib/x86_64-linux-gnu/libnvidia-opencl.so.525.147.05
hostPath: /usr/lib/x86_64-linux-gnu/libnvidia-opencl.so.525.147.05
options:
- ro
- nosuid
- nodev
- bind
- containerPath: /usr/lib/x86_64-linux-gnu/libnvidia-opticalflow.so.525.147.05
hostPath: /usr/lib/x86_64-linux-gnu/libnvidia-opticalflow.so.525.147.05
options:
- ro
- nosuid
- nodev
- bind
- containerPath: /usr/lib/x86_64-linux-gnu/libnvidia-ptxjitcompiler.so.525.147.05
hostPath: /usr/lib/x86_64-linux-gnu/libnvidia-ptxjitcompiler.so.525.147.05
options:
- ro
- nosuid
- nodev
- bind
- containerPath: /usr/lib/x86_64-linux-gnu/libnvidia-rtcore.so.525.147.05
hostPath: /usr/lib/x86_64-linux-gnu/libnvidia-rtcore.so.525.147.05
options:
- ro
- nosuid
- nodev
- bind
- containerPath: /usr/lib/x86_64-linux-gnu/libnvidia-tls.so.525.147.05
hostPath: /usr/lib/x86_64-linux-gnu/libnvidia-tls.so.525.147.05
options:
- ro
- nosuid
- nodev
- bind
- containerPath: /usr/lib/x86_64-linux-gnu/libnvoptix.so.525.147.05
hostPath: /usr/lib/x86_64-linux-gnu/libnvoptix.so.525.147.05
options:
- ro
- nosuid
- nodev
- bind
- containerPath: /lib/firmware/nvidia/525.147.05/gsp_ad10x.bin
hostPath: /lib/firmware/nvidia/525.147.05/gsp_ad10x.bin
options:
- ro
- nosuid
- nodev
- bind
- containerPath: /lib/firmware/nvidia/525.147.05/gsp_tu10x.bin
hostPath: /lib/firmware/nvidia/525.147.05/gsp_tu10x.bin
options:
- ro
- nosuid
- nodev
- bind
- containerPath: /usr/share/X11/xorg.conf.d/10-nvidia.conf
hostPath: /usr/share/X11/xorg.conf.d/10-nvidia.conf
options:
- ro
- nosuid
- nodev
- bind
- containerPath: /usr/share/egl/egl_external_platform.d/15_nvidia_gbm.json
hostPath: /usr/share/egl/egl_external_platform.d/15_nvidia_gbm.json
options:
- ro
- nosuid
- nodev
- bind
- containerPath: /usr/share/glvnd/egl_vendor.d/10_nvidia.json
hostPath: /usr/share/glvnd/egl_vendor.d/10_nvidia.json
options:
- ro
- nosuid
- nodev
- bind
- containerPath: /usr/share/vulkan/icd.d/nvidia_icd.json
hostPath: /usr/share/vulkan/icd.d/nvidia_icd.json
options:
- ro
- nosuid
- nodev
- bind
- containerPath: /usr/lib/x86_64-linux-gnu/nvidia/xorg/libglxserver_nvidia.so.525.147.05
hostPath: /usr/lib/x86_64-linux-gnu/nvidia/xorg/libglxserver_nvidia.so.525.147.05
options:
- ro
- nosuid
- nodev
- bind
- containerPath: /usr/lib/x86_64-linux-gnu/nvidia/xorg/nvidia_drv.so
hostPath: /usr/lib/x86_64-linux-gnu/nvidia/xorg/nvidia_drv.so
options:
- ro
- nosuid
- nodev
- bind
devices:
- containerEdits:
deviceNodes:
- path: /dev/nvidia0
- path: /dev/dri/card0
- path: /dev/dri/renderD128
hooks:
- args:
- nvidia-ctk
- hook
- create-symlinks
- --link
- ../card0::/dev/dri/by-path/pci-0000:01:00.0-card
- --link
- ../renderD128::/dev/dri/by-path/pci-0000:01:00.0-render
hookName: createContainer
path: /usr/bin/nvidia-ctk
- args:
- nvidia-ctk
- hook
- chmod
- --mode
- "755"
- --path
- /dev/dri
hookName: createContainer
path: /usr/bin/nvidia-ctk
name: "0"
- containerEdits:
deviceNodes:
- path: /dev/nvidia0
- path: /dev/dri/card0
- path: /dev/dri/renderD128
hooks:
- args:
- nvidia-ctk
- hook
- create-symlinks
- --link
- ../card0::/dev/dri/by-path/pci-0000:01:00.0-card
- --link
- ../renderD128::/dev/dri/by-path/pci-0000:01:00.0-render
hookName: createContainer
path: /usr/bin/nvidia-ctk
- args:
- nvidia-ctk
- hook
- chmod
- --mode
- "755"
- --path
- /dev/dri
hookName: createContainer
path: /usr/bin/nvidia-ctk
name: all
kind: nvidia.com/gpu
可以看到 nvidia 的 cdi 配置文件比 mock 的要复杂很多，因为 nvidia 的 gpu 需要绑定很多文件到容器内，还有 hooks 等。这些工作之前都是在 runtime 中做的，现在都可以通过 cdi 插件来做了。