Host a Jupyter Notebook as an API
Do you have a Jupyter Notebook that you want to run every time an API is called? You can do that with Saturn Cloud jobs.

There are many different approaches for how to handle data that won't fit in memory on a single machine.
Read article →
Do you have a Jupyter Notebook that you want to run every time an API is called? You can do that with Saturn Cloud jobs.

Many data scientists don't know where to start with the distributed framework Dask. Good news--it's often no more work than just …

If your machine has multiple GPUs you can train a TensorFlow model across all of the GPUs at once.

By combining Dask and PyTorch you can easily speed up training a model across a cluster of GPUs. But how much of a benefit does that …

Jupyter struggles with long running notebooks--one hiccup in your connection and the execution can cancel. Here is a solution to manage …

You can get lots of value from Dask without even using a distributed cluster. Try using the LocalCluster instead!

In the final part of this three part series we cover how to take a trained model and deploy it as an API.

In part two of this three part series we cover how to take a trained model and make an interactive web app from it.

In part one of this three part series we cover how to train a model to deploy as a dashboard or API.