nvidia-smi: GPU's full name not displayed properly
On a Linux server, nvidia-smi can show GPU name, as well as other useful information. However, the full name is not displayed properly. How can I know the full name of GPUs?
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On a Linux server, nvidia-smi can show GPU name, as well as other useful information. However, the full name is not displayed properly. How can I know the full name of GPUs?
I recently created a new repository in AWS ECR, and I'm attempting to push an image. I'm copy/pasting the directions provided via the "View push commands" button on the repository page. I'll copy those here for reference: aws ecr get-login-password --region us-west-2 | docker login --username AWS --password-stdin 123456789.dkr.ecr.us-west-2.amazonaws.com ("L
I have a downloaded file through helm inspect called sftp.yaml I have a parameter in that sftp.yaml file:- sftp: allowedMACs: "hmac-sha2-512" allowedCiphers: aes256-ctr Now if i install the corresponding helm chart after commenting out the entire line of "allowedMACs" from custom values files i.e. "sftp.yaml", then K8s takes the delta of sftp.yaml and the ac
Cannot install the helm chart but when I use raw file generated by helm, I am able to install via kubectl apply. Following error is displayed when i use helm install myChart . --debug Error: cannot re-use a name that is still in use helm.go:88: [debug] cannot re-use a name that is still in use helm.sh/helm/v3/pkg/action.(*Install).availableName helm.sh/helm/
A failure needs to be narrowed down before settings are changed or operations retried. Which evidence best separates application errors from environment and dependency problems?
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I am trying to create an AWS S3 bucket using terraform and this is my code: provider "aws" { profile = "default" region = "ap-south-1" } resource "aws_s3_bucket" "first_tf" { bucket = "svk-pl-2909202022" acl = "private" } I have manually created the "Credentials" file using Notepad and also removed the ".txt" extension using Powershell and stored that file i
I am trying to set up docker image of amazon ECR on ubuntu18.04 machine of AWS,using commands provided by view push commands of Amazon Container Services ,please note i have already set up docker on my ubuntu18.04 and also output of docker -v is as below ubuntu@ip-172-31-0-143:~$ docker -v Docker version 19.03.7, build 7141c199a2 When i execute the command p
I dont see an easy way of listing the resources in a google cloud project from the console. For those familiar with Azure, I can easily navigate over to the resource group and it will displays all the resources within it. I cannot appear to do the same in google cloud.
linux
docker
kubernetes
mongodb
dotnetcore