JupyterHub is great
Maintaining Data Science Infrastructure is Terrible
See why companies choose Saturn Cloud
Maintaining Your Own Platform Goes from Fun to Burden Quickly
A single powerful server - a single point of failure
Most teams start out by spinning up a beefy server. This is fine, until an important job gets killed at the 18th hour because someone tried to load the entire dataset and you ran out of memory.
Just use EC2 - chaotic and inconsistent
You hand out EC2 access. Everyone does their own thing, and no one can run anyone else's work. One data scientist gets lax with the security of their Jupyter, and their instance (along with all of your data) has been exposed on the open internet.
Kubernetes - complex edge cases
Kubernetes is amazing. You've got the cluster running, but every time a data scientist uses up all the memory, kubelet dies, and you can no longer shut down the instance.
Any solution - vulnerable when your maintainer quits
Your entire stack is maintained by your favorite engineer. When they unexpectedly quit no one knows how to make any changes (or where the SSH keys are).
Build Flexibly on Saturn Cloud to Fit Your Use Cases
Incredible resources with high RAM and compute, GPUs, and distributed Dask clusters available.
Highly reproducible so data scientists can share and work together. If it ran yesterday, it will run today.
Kubernetes is amazing. We tune, manage, and keep your cluster secure so that everything just works.
None of your engineers should be data science tech support. We help users install packages and leverage Dask clusters. We're just a chat message away.
Saturn Cloud Hosted Free
Your account starts on the Hosted Free plan with 10 hours of GPU Jupyter and 3 hours of Dask per month
Saturn Cloud Hosted Pro
Upgrade to Hosted Pro to unlock more resources without having to migrate
Saturn Cloud Enterprise
Contact us to set up Saturn Cloud Enterprise within your own organization