gorenje

Used to retrieve the allocatable resources of a Kubernetes cluster.

Assumes that this is being executed within the K8s cluster.

Tested using python 2.7 and requires the installation of two pip libraries:

pip install pint
pip install kubernetes

Mahedi-61

#!/bin/bash
## This gist contains step by step instructions to install cuda v10.1 and cudnn 7.6 in CentOS 7
### steps ####
# verify the system has a cuda-capable gpu
# download and install the nvidia cuda toolkit and cudnn
# setup environmental variables
# verify the installation
###

### to verify your gpu is cuda enable check

nchaigne

Building GCC 9.2.0 on CentOS 7

Introduction

CentOS 7 distribution (as well as RHEL 7) ships with a somewhat outdated version of the GCC compiler (4.8.5 on CentOS 7.5), which may not be suitable to your compilation requirements. For example, C11 - which supersedes C99 - is fully supported only starting from GCC 4.9).

Additionally, recent versions of GCC (GCC6, GCC7, GCC8, GCC9) come with improvements which help detect issues at build time and offer suggestions on how to fix them. Sometimes, these are even actually helpful!

This note describes how to build the latest GCC (9.2.0 as of October 2019) from sources on CentOS 7. This should be applicable as is on RHEL 7. For other Linux distributions, adapt as needed.

kemingy

Environments

• CPU: Intel(R) Xeon(R) Gold 6130 CPU @ 2.10GHz
• GPU: NVIDIA V100
• Memory: 251GiB
• OS: Ubuntu 16.04.6 LTS (Xenial Xerus)

Docker Images:

• tensorflow/tensorflow:latest-gpu
• tensorflow/serving:latest-gpu