Kubernetes-install | Kubernetes Cluster Install | TLS library

by Donyintao Shell Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | Kubernetes-install Summary

Kubernetes-install is a Shell library typically used in Security, TLS applications. Kubernetes-install has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

Kubernetes Cluster Install

Support

Quality

Security

License

Reuse

Support

Kubernetes-install has a low active ecosystem.

It has 29 star(s) with 17 fork(s). There are 4 watchers for this library.

It had no major release in the last 6 months.

There are 2 open issues and 0 have been closed. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of Kubernetes-install is current.

Quality

Kubernetes-install has no bugs reported.

Security

Kubernetes-install has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

Kubernetes-install does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

Kubernetes-install releases are not available. You will need to build from source code and install.

Top functions reviewed by kandi - BETA

kandi's functional review helps you automatically verify the functionalities of the libraries and avoid rework.
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of Kubernetes-install

Get all kandi verified functions for this library.

Kubernetes-install Key Features

No Key Features are available at this moment for Kubernetes-install.

Kubernetes-install Examples and Code Snippets

No Code Snippets are available at this moment for Kubernetes-install.

Community Discussions

Trending Discussions on Kubernetes-install

Running an example pod on Kubernetes with Nvidia GPU nodes

QUESTION

Running an example pod on Kubernetes with Nvidia GPU nodes

Asked 2018-Aug-13 at 13:24

I'm trying to setup Kubernetes with Nvidia GPU nodes/slaves. I followed the guide at https://docs.nvidia.com/datacenter/kubernetes-install-guide/index.html and I was able to get the node join the cluster. I tried the below kubeadm example pod:

...

ANSWER

Answered 2018-Aug-13 at 13:24

According to the AWS G2 documentation, g2.8xlarge servers have the following resources:

Four NVIDIA GRID GPUs, each with 1,536 CUDA cores and 4 GB of video memory and the ability to encode either four real-time HD video streams at 1080p or eight real-time HD video streams at 720P.
32 vCPUs.
60 GiB of memory.
240 GB (2 x 120) of SSD storage.

Looking at the comments, 60 GB is standard RAM, and it is used for regular calculations. g2.8xlarge servers have 4 GPUs with 4 GB of GPU memory each, and this memory is used for calculations in nvidia/cuda containers.

In your case, it is requested 8 GB of GPU memory per GPU, but your server has only 4 GB. Therefore, the cluster experiences a lack of resources for scheduling the POD. So, try to reduce the memory usage in the Pod settings or try to use a server with a larger amount of GPU memory.

Source https://stackoverflow.com/questions/51718792

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install Kubernetes-install

You can download it from GitHub.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

Find more information at: