If You Can Write Functions, You Can Use Dask
Many data scientists don't know where to start with the distributed framework Dask. Good news--it's often no more work than just …
Blog
Around Saturn Cloud
Technical guides, platform updates, and engineering insights from the team.
All
AI/ML
Company
Data Science Leadership
Data Science & ML
DevOps
Infrastructure
Partners & Customers
Product
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.
Read article →
Multi-GPU TensorFlow on Saturn Cloud
If your machine has multiple GPUs you can train a TensorFlow model across all of the GPUs at once.
Speeding up Neural Network Training With Multiple GPUs and Dask
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 …
Dealing with Long Running Jupyter Notebooks
Jupyter struggles with long running notebooks--one hiccup in your connection and the execution can cancel. Here is a solution to manage …
Just Start with the Dask LocalCluster
You can get lots of value from Dask without even using a distributed cluster. Try using the LocalCluster instead!
Deploy Your Machine Learning Model - Part 3 (Flask API or Web App)
In the final part of this three part series we cover how to take a trained model and deploy it as an API.