About Qblocks:

Q blocks is a distributed cloud computing company. Leveraging the power of distributed computing, we help companies get affordable supercomputing for performing complex calculations such as training Machine Learning models or performing Big data analytics or even making the next Deepfake!

Our platform can be used for High performance computing jobs such as:

  • Artificial Intelligence
  • Computational Fluid dynamics
  • 3d simulations
  • 3d rendering
  • Big Data analytics

For Customers:

Q Blocks helps Machine learning engineers and data scientists easily spin up instances on remote GPU powered compute machines.

As a user, you can easily pre-configure the instances with AI frameworks such as Tensorflow, PyTorch, Keras and then run scripts using Jupyter Notebooks or CLI interface to quickly build, train and deploy AI models.

There are several advantages that you get on using Q Blocks such as:

  • Upto 80% Less Expensive:
    Yes, you read that right. GPU instances on Q Blocks are very inexpensive when compared to primitive cloud companies.

  • Easy to use:
    We have made it super easy for a user to quickly fire up a GPU instance and start processing in a matter of few minutes.

  • Pre-configured instances:
    Select your favorite AI frameworks to get a pre-configured instance ready for deep learning processing or machine learning inference.

When you select a GPU powered machin on our network, you create an instance. You can configure your instance with AI frameworks such as Tensorflow, Keras, PyTorch etc. and choose storage required in your instance.

We use Stripe Payment Gateway to securely do the transactions on our platform. You can create a Payment profile and then either add credits or select a package depending on your requirement. Packages are heavily discounted when compared to pay as you go plan.

In pay as you go plan, you are charged for every minute when your instances are active. In a package, you get specified amount of hours for which you can run an instance. Once, the credits are used, the instances are terminated.

In your dashboard, you will see Active Instances tab in the left side menu. On Active Instances page, you can see a list of all your active instances.

Along with every instance, you will see 3 action buttons that will help you to:

  • Connect to your instance. Use this button to connect to your Jupyter lab or get SSH command for CLI interface.
  • Stop an instance. Stopping an instance will stop your compute billing, but you will be charged for storage.
  • Destroy an instance. Destroying an instance will terminate your instance, delete your storage and stop your billing altogether.

When you stop your instance, your data is stored in a containerized volume on the machine on which your instance was created. On restarting the instance after a while, you may have to wait before getting access to the instance as during this period the GPU machine could be allotted to some other user. But your data isn't compromised as it stored in a volume attached with your account only.

When you terminate your instance, your data is completely deleted from the machine. So we would request that you create multiple copies of your data on a cloud storage service.

We don't offer refund on the purchases. They are final and as it is.

For Hosts:

Q Blocks helps machine learning engineers and data scientists rent out GPU systems on our network. By hosting your GPU machines on our website, you earn an amount for every hour your machine is rented on the network.