We've added improved file management functionality to the IDE!

Better file management in Notebooks improvement 

Now you can add files and folders directly from the IDE.

You can also download files using the file manager.

As more file management enhancements come to the IDE we recommend you swap over to JupyterLab if you need something like a terminal with root access.

Other Improvements

• We now send GPU utilization metrics to the status bar (bottom left) in the notebook IDE
• When creating a new notebook with a specified workspace, we now load a preview of the files in the IDE while the notebook initializes
• When you use the Share feature in a notebook, we now include in the link the specific file you are sharing

Bugfixes

• We fixed a bug that sometimes caused notebooks nested in folders to have an incorrect working directory which caused issues when using relative paths
• We fixed a bug that sometimes caused long cell outputs to degrade notebook performance
• We fixed a bug that caused some notebooks to restart after being manually stopped by the user
• We fixed a bug that occasionally prevented large notebooks from loading offline

This week we released a complete rewrite of Gradient Notebooks!

This is an important release for Gradient. Right away you'll notice that we've brought notebooks up to the new Paperspace design standards while taking big steps to bring simple and scalable ML infrastructure into the notebook itself.

In addition to the new compute instance selection menu, we've also integrated system metrics as part of a status bar and a new file browser which will soon unlock new capabilities around data management.

Last but not least, the notebook experience is now substantially more performant across the board -- from spin-up to teardown to rendering and executing cells. 

There's plenty more to unpack so head over to the blogpost to see what else has changed!

Last month we introduced a product selector to the console. 

Today we've launched a second phase of console redesign, adding product and team selectors to the top navigation bar and removing the sidebar entirely.

You can now find all entities that used to appear in the sidebar on the horizontal subheading bar.

We hope you enjoy the breathing room. 

Full blogpost here.

There's a new product selector in the console sidebar! 

That means that you can now clearly delineate your Core and Gradient workspaces and have greater confidence navigating the console.

(There's also a new Paperspace Team & Accounts view to better manage your personal and team account settings.)

Gradient metrics load faster Gradient 

There was an issue where Gradient metrics would take a while to load if the workload had been running for an extended period of time. The new metrics experience is blazing fast!

New desktop app Core 

A new desktop app (v10.0) was launched with a snappier login experience. 

Other improvements and fixes

• Upgrade button moved to the navigation bar to increase available screen real estate 
• An API Keys link was added to the user profile icon menu

We've released autoscaling for model serving and deployments.

To get more details on autoscaling we invite you to checkout the blogpost and read the docs!

We've released a new utilization dashboard to make it easy to keep track of your monthly spend in Paperspace!

This is an easy way to see how much you're spending on Paperspace month over month. 

To access the new dashboard, just go to Profile > Billing > Utilization.

Secrets have just landed in Gradient to store API keys, SSH keys, S3 credentials ... and any other kind of secure text that you need to keep scoped locally to give you and your team secure access to outside resources.

Check out the blogpost or read the docs to learn more!

You can now provision and manage machines on Paperspace programmatically using the new Terraform provider. To get started watch the demo below, read the blogpost, or head over to the GitHub repo.

Managed private clusters have launched on Gradient!

You can now set up a managed private cluster for your machine learning team in the web console or on the command line.

Read the full blogpost here.

You'll see a few new options under "Workspaces" that enable you to pull down data (eg from a Git repository) when creating a new notebook.  Check out the docs to learn more.