devinschumacher

Cloud GPUs: Servers, Providers & Everything You Would Ever Need

Your company's GPU computing strategy is essential whether you engage in 3D visualization, machine learning, AI, or any other form of intensive computing.

There was a time when businesses had to wait for long periods of time while deep learning models were being trained and processed. Because it was time-consuming, costly, and created space and organization problems, it reduced their output.

This problem has been resolved in the most recent GPU designs. Because of their high parallel processing efficiency, they are well-suited for handling large calculations and speeding up the training of your AI models.

When it comes to deep learning, good Cloud GPUs can speed up the training of neural networks by a factor of 250 compared to CPUs, and the latest generation of cloud GPUs is reshaping data science and other emerging technologies by delivering even greater performance

jferris

apiVersion: v1
kind: ConfigMap
metadata:
  name: example
  namespace: default
data:
  APPLICATION_HOST: example.com
  LANG: en_US.UTF-8
  PIDFILE: /tmp/server.pid
  PORT: "3000"

tekin

# Stick this in your home directory and point your Global Git config at it by running:
#
#  $ git config --global core.attributesfile ~/.gitattributes
#
# See https://tekin.co.uk/2020/10/better-git-diff-output-for-ruby-python-elixir-and-more for more details

*.c     diff=cpp
*.h     diff=cpp
*.c++   diff=cpp
*.h++   diff=cpp

kedder

"""Convert postgres database to mysql on live running servers

Schemas in both databases should match.
"""

from pprint import pprint
import pymysql.cursors
import psycopg2
import psycopg2.extras

sabbour

#!/usr/bin/env bash

docker rm $(docker ps -qf 'status=exited')
docker rmi $(docker images -qf 'dangling=true')
docker volume rm $(docker volume ls -qf 'dangling=true')

berkedel

How to solve dyld: Library not loaded: /usr/local/opt/icu4c/lib/libicui18n.60.dylib

brew uninstall --ignore-dependencies node icu4c
brew install node

oliveratgithub

{
	"emojis": [
		{"emoji": "👩‍👩‍👧‍👧", "name": "family: woman, woman, girl, girl", "shortname": ":woman_woman_girl_girl:", "unicode": "1F469 200D 1F469 200D 1F467 200D 1F467", "html": "👩‍👩‍👧‍👧", "category": "People & Body (family)", "order": ""},
		{"emoji": "👩‍👩‍👧‍👦", "name": "family: woman, woman, girl, boy", "shortname": ":woman_woman_girl_boy:", "unicode": "1F469 200D 1F469 200D 1F467 200D 1F466", "html": "👩‍👩‍👧‍👦", "category": "People & Body (family)", "order": ""},
		{"emoji": "👩‍👩‍👦‍👦", "name": "family: woman, woman, boy, boy", "shortname": ":woman_woman_boy_boy:", "unicode": "1F469 200D 1F469 200D 1F466 200D 1F466", "html": "👩‍👩‍👦‍👦", "category": "People & Body (family)", "order": ""},
		{"emoji": "👨‍👩‍👧‍👧", "name": "family: man, woman, girl, girl", "shortname": ":man_woman_girl_girl:", "unicode": "1F468 200D 1F469 200D 1F467 200D 1F467", "html": "👨‍👩&z

iamdbc

# file location: /etc/logrotate.d

/home/deploy/app/your-app/shared/log/*.log {
  daily
  missingok
  rotate 14
  compress
  delaycompress
  dateext
  notifempty

giannisp

After automatically updating Postgres to 10.0 via Homebrew, the pg_ctl start command didn't work.
The error was "The data directory was initialized by PostgreSQL version 9.6, which is not compatible with this version 10.0."

Database files have to be updated before starting the server, here are the steps that had to be followed:

# need to have both 9.6.x and latest 10.0 installed, and keep 10.0 as default
brew unlink postgresql
brew install [email protected]
brew unlink [email protected]
brew link postgresql

waffleau

  def self.extract_dominant_colors(image_path, quantity=5, threshold=0.01)
    image = MiniMagick::Image.open(image_path)

    # Get image histogram
    result = image.run_command('convert', image_path, '-format', '%c', '-colors', quantity, '-depth', 8, 'histogram:info:')
    
    # Extract colors and frequencies from result
    frequencies = result.scan(/([0-9]+)\:/).flatten.map { |m| m.to_f }
    hex_values = result.scan(/(\#[0-9ABCDEF]{6,8})/).flatten
    total_frequencies = frequencies.reduce(:+).to_f