In this article, I will share some of my experience on installing NVIDIA driver and CUDA on Linux OS. Here I mainly use Ubuntu as example. Comments for CentOS/Fedora are also provided as much as I can.
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#!/usr/bin/env python | |
import hashlib | |
import json | |
import logging | |
import logging.handlers | |
import os | |
import shutil | |
import sys | |
import tempfile | |
import urllib |
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repositories: | |
ddynamic_reconfigure: | |
type: git | |
url: https://github.com/pal-robotics/ddynamic_reconfigure | |
version: kinetic-devel | |
ecl/ecl_core: | |
type: git | |
url: https://github.com/stonier/ecl_core | |
version: release/0.62-noetic | |
ecl/ecl_lite: |
Excerpts from the Proxmox VE Administration Guide]
LVM normally allocates blocks when you create a volume. LVM thin pools instead allocates blocks when they are written. This behaviour is called thin-provisioning, because volumes can be much larger than physically available space.
8.10.2. Trim/Discard It is good practice to run fstrim (discard) regularly on VMs and containers. This releases data blocks that the filesystem isn’t using anymore. It reduces data usage and resource load. Most modern operating systems issue such discard commands to their disks regularly. You only need to ensure that the Virtual Machines enable the disk discard option.