We've released autoscaling for model serving and deployments.
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.
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.
The console just got much faster. You'll notice up to 40% speed improvements across the app -- from notebooks to machines to settings and everything in between!
The latest version of the Paperspace desktop app is now shipping with 4K support on all Dedicated GPU machines.
All you have to do is plug-in to your 4K-enabled display, check your settings, and go!
Read the blogpost for more information.
Two additional quality of life updates have also been released: the bandwidth adjustment algorithm has been enhanced to improve streaming quality, and key/mouse input capture has been improved to provide a more reliable experience.
You should notice an overall snappier and more responsive streaming experience.
If you look in the user menu in the console, you should now see a Hotkeys option! This option will reveal a modal with all the new keyboard shortcuts now available for use in the Paperspace console.
To access the menu, click you user icon in the top left and then the hotkeys button:
These hotkeys cover all the different views available from the Paperspace console -- from Notebooks, to Jobs, to Projects, to Machines, and more!
We hope you enjoy this new super easy way to switch contexts in the Paperspace console.
Gradient now includes the ability to tag entities for improved navigation, search, and management of your ML workflow. Tags can be created and updated in both the user interface and CLI.
You can add tags to several elements including Projects, Experiments, Models, and Deployments.
The YAML config file simplifies your work from the command line by storing default arguments for different tasks. If you find yourself repeatedly typing the same commands and want the configuration to be reusable (and with integrated version control), this tool is for you.
Instead of typing out each argument every time you want to run something from the Gradient CLI, you can save your preferred default arguments in the config.yaml file.
Read more on our blog here.