Clouderizer | End-to-End MLOps Platform


  • Cloud IDE for Data Scientists
Try our live samples now

Kaggle Titanic Survival ML model trained using H2O v3

Predict if a flight will have a delay in it’s departure. Model developed using H2O v3

Predict house sale prices. Model developed using H2O Driverless AI

Use machine learning to identify patients at risk for readmission. Model developed using H2O v3

Forget DevOps.
Focus on Machine Learning.
  • Pre-installed ML frameworks and tools like Tensorflow, PyTorch, Keras, JupyterLab, Tensorboard
  • Run projects in docker container optimized for GPU using nvidia drivers
  • Seamless integration with Git, Kaggle to setup workspace code and datasets
  • Add scripts to automate custom dependency setup
Run projects locally, on cloud or both
  • Run project on cloud of your choice.
  • Workspace persistence through real time sync of code and data with Google Drive.
  • Option to run project locally on any Ubuntu machine as well
Data Security
  • Your code and data remains private to you on your own cloud infrastructure. Nothing is stored on Clouderizer servers
  • Ideal for working on sensitive and confidential datasets
  • Workspace is backed up on your Google Drive or S3
  • All communications are encrypted using SSL/TLS
Reduce cloud bills
  • Effortlessly run your projects on EC2 Spot or GCP Pre-emptible instances, with a single click
  • Use credits and coupons codes you already have with EC2 and GCP
  • Run your Deep Learning projects at almost same cost as underlying cloud machines.
Get help

Public forum for discussion around our product. Get help from other users.

Product Documentation to get you started and fill in with advanced features.

How To videos around core features

We used Clouderizer while teaching the Deep Learning course for graduate and undergraduate students, as one of the options to do programming homeworks and assignments at Georgia Tech.

With Clouderizer, students who used it found it easy to use, were able to get started with cloud GPU setup and running in few minutes, without hassle and extra work of setting up the environment, installing different packages, versions and dependencies.
I would recommend  Clouderizer to any university or company which runs employee / student training related to Machine Learning and is looking for a Cloud interface vendor / provider.

Sreenivasan AC
Graduate Teaching Assistant, Deep Learning, Georgia Institute of Technology

Clouderizer has saved me hours of low-level technical fiddling. I love how I can choose with one click which cloud service to spin up a machine on and how everything seamlessly backs up to my Google Drive. Customer service is excellent too - I had a connectivity issue and within ten minutes I had a video call and the problem was resolved. It’s well worth the money and highly recommended!

Anthony Holmes
CEO, Holmes Consulting

I have been using Clouderizer for over 3 months, its great to start because it lets me connect to Colab and GCP, perfect for starting out and you don’t want to fight with SSH

Jeremy Easterbrook
CEO Index