Comments (2)
@premalathak12 is the nvidia
runtime configured as the default runtime in crio? If not, a runtime class must be created and associated with the nvidia
runtime, and the runtime class specified when reploying the plugin.
from k8s-device-plugin.
@elezar Thanks for the quick reply.
Output for runtime command in both master and worker-gpu node :
crictl config --get runtime-endpoint
unix:///var/run/crio/crio.sock
root@ami:/home/ami# grep runtime /etc/crio/crio.conf
[crio.runtime]
[crio.runtime.runtimes]
[crio.runtime.runtimes.nvidia]
runtime_path = "/usr/bin/nvidia-container-runtime"
runtime_type = "oci"
I ran these two commands :
_Configuring CRI-O
Configure the container runtime by using the nvidia-ctk command:
sudo nvidia-ctk runtime configure --runtime=crio
The nvidia-ctk command modifies the /etc/crio/crio.conf file on the host. The file is updated so that CRI-O can use the NVIDIA Container Runtime.
Restart the CRI-O daemon:
sudo systemctl restart crio_
This section has no data :
https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/latest/sample-workload.html#running-sample-workloads-with-containerd-or-cri-o
can you suggest any sample workload for this to verify runtime ?
from k8s-device-plugin.
Related Issues (20)
- Limiting GPU Resource Usage per Docker Container with MPS Daemon
- K8s 1.24 failed to schedule using GPU-(error code CUDA driver HOT 6
- Access NVIDIA GPUs in K8s in a non-privileged container
- can't install 0.15.0-rc.2 HOT 3
- Device plugin does not start on MIG-enabled host due to insufficient permissions HOT 6
- Daemonset yaml file is not picking up Timeslicing configMap
- Create CDI spec error "libcuda.so.535.129.03 not found" in version "v0.15.0-rc.2" HOT 2
- Dedicated GPU's for time slicing on multi GPU set ups.
- How to mount containerPath to a hostPath for discover NVIDIA libraries w/o CDI spec HOT 5
- Using CUDA MPS to enable GPU sharing in K8S, error:error checking MPS daemon health HOT 2
- K3s in Docker (K3D) - `nvml error: insufficient permissions`
- Fix e2e tests HOT 1
- WSL2 - No devices found. Waiting indefinitely. HOT 3
- MPS use error: Failed to allocate device vector A (error code all CUDA-capable devices are busy or unavailable)! HOT 29
- Back-off restarting failed container nvidia-device-plugin-ctr HOT 3
- Go Package: github.com/opencontainers/runc 1.0.0-rc93 < 1.1.12 - Local Sandbox Bypass Vulnerability HOT 1
- When use MPS, add a initContainers to default set compute model
- update nodelabel for config-manger k8s-device-plugin continuing printing error msg, not stop HOT 1
- allPossibleMigStrategiesAreNone is false when using default values HOT 4
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from k8s-device-plugin.