Clever Grid: Using GPUs has never been so simple

Laurent Doguin — Mon, 08 Jul 2019 15:35:00 +0000

Today the Clever Cloud team is happy to release Clever Grid, our new GPUs as a Service offering. Because we think life should be as easy for data scientists as it is for developers when it comes to running code. TL;DR

No hidden cost starting from 0.42 euros an hour
Billed by the minute
Datacenter located in Europe to comply with GDPR
up to 4 GeForce GTX1070 on the same machine
Fully automated setup with CUDA, Tensorflow, Keras and more

That's right, the level of automation given to developers using Clever Cloud is now available for Data Scientist too! No more tedious CUDA driver setup, no more dependency hell, you can focus on what matters: your code. And it's just a git push away. Try it now on dashboard.clevergrid.io! Note that Clever Grid login is compatible with your Clever Cloud account, but we'll detail this below.

0.42 euros an hour […] with 8 CPU, 1 GPU (Nvidia GeForce GTX1070), 6GB of Ram and 250GB of storage space

But by now you should be wondering, how much is it going to cost me? It starts at 10 euros a day, billed by the minute. That's 0.42 euros per hour. And what do you get for this low starting price? You get a VM with 8 CPU, 1 GPU (GeForce GTX1070), 6GB of Ram and 250GB of storage space. And our Datacenters are located in Europe so you can comply with GDPR! Here's our complete pricing list, please keep in mind that this is the only thing you will pay. There are no hidden costs, no additional bandwith fees and the like. You will be able to choose the size of the VM you want when creating the application. But first you need to give it a name, a description and choose its type. We have six different ways of running your code. You can use Python, Java or Docker as runner or webapp. Basically a runner starts, executes your scripts and stops. It's great to train your models. A webapp is the more traditional way of deploying applications on Clever Cloud. It's as its name indicates a web application. As usual with Clever Cloud you can start your application by pushing your code to a git remote branch we provide upon application creation. Or you can start from one of our template and start editing the code from the dashboard. We currently provide a template to automatically run a Jupyter notebook or to train a style transfer model. And if you are already a Clever Cloud user, know that everything is available from the Clever Cloud console as well. Clever Grid is basically a new Web Console written from scratch using Vue.js and our public API, allowing you to deploy only in Zones where GPUs are available. Keep in mind that VM disks are stateless, if your need to keep your data, use persistent storage like Clever Cloud Cellar, a S3-like storage service (free up to 100MB). We hope you will enjoy using Clever Grid to innovate faster with Machine Learning and Artificial Intelligence. And always remember that ethics is super important in science! PS: You can find our ready-to-go demos here on Github. Check the documentation of Clever Grid for installation instructions.

Bring your API to the World Within 3 Minutes

Valeriane Venance — Tue, 12 Feb 2019 15:02:00 +0000

A couple years ago, I was a developer for a startup which has almost no test coverage. Super enthusiastic me from the past spent a few weeks coding tests, and factories… all that based on the gem FactoryGirl. Two days before I’m satisfied of what I’ve done, they announce that FactoryGirl needs to be upgraded to FactoryBot.

A few days ago, I’m like hey I want to talk about DRF on Clever Cloud, I’ll make a little API, who cares which python I’m using, let’s use 2.7! So I’m coding the project, making a nice readme and the python team finally decides to explicitly invite users to migrate to python 3….

Anyway ! the project is here all you have to do is to git clone the repo or have your own DRF repo locally.

If you use your own repo, make sure to have the following lines in your settings.py

PRODUCTION = True
if PRODUCTION:
    DATABASES = {
        'default': {
            'ENGINE': 'django.db.backends.postgresql_psycopg2',
            'NAME': os.environ.get('POSTGRESQL_ADDON_DB'),
            'USER': os.environ.get('POSTGRESQL_ADDON_USER'),
            'PASSWORD': os.environ.get('POSTGRESQL_ADDON_PASSWORD'),
            'HOST': os.environ.get('POSTGRESQL_ADDON_HOST'),
            'PORT': os.environ.get('POSTGRESQL_ADDON_PORT'),
        }
    }

go to Clever Cloud console and select create a new application. Select brand new app.

Click next and select python, then name you application.

The Clever Cloud console will ask you if you want to link an add on. Select postgreSQL and name your add-on

Just wait for the Clever console to set up your add on and application.

When your application is ready, you're invited to add environment variables.

If you use my project click on the expert mode button

and paste the following :

CC_PYTHON_MODULE=personal_website_backend.wsgi:application
CUSTOM_SECRET_KEY=your_custom_secret_key
PORT=8080
PRODUCTION=True

You can generate a secret key 50 chars long (DRF requirement) here.

If you use your own repo, add the env vars you need, but make sure to have at least CC_PYTHON_MODULE=.wsgi:application

Then click next, a new screen will display with a git command to add a new remote to your repo and do your first deploy

Copy these lines and paste them directly in your console while being in your repo

git remote add clever git+ssh:\/\/git@push-par-clevercloud-customers.services.clever-cloud.com/.git
git push -u clever master

Go back to Clever Cloud console and just look at the deployment logs of your app. It will tell you when your app is up, so just go to the overview page and click on the link symbol to visit your app.

If you want to see the full procedure live, have a look here.

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Clever Grid: Using GPUs has never been so simple

Bring your API to the World Within 3 Minutes