We're pleased to announce Gradient Workflows and Gradient Deployments! Workflows and Deployments bring production capabilities to all Gradient users.

Make Anything with Gradient. Yes. Anything. announcement 

To celebrate this launch, we've released a brand new commercial about Gradient! 

Introducing Gradient Workflows announcement 

Gradient Workflows is a simple way to automate machine learning tasks. Workflows allows you to build complex, real-world machine learning projects. 

With Workflows you can define arbitrarily complex pipelines for Gradient to orchestrate on your behalf.

To learn more about Workflows, check out the new site! 

Gradient Deployments announcement 

Gradient Deployments provides effortless model serving. Deployments allow you to host a trained model on an endpoint for consumption by your application.

Deployments are powered by the same high-performance GPU instances that power the rest of Gradient.

To learn more about Deployments, check out the new site!

We've added RTX4000 and RTX5000 instances to CA1 and NY2 regions, as well as multi-GPU instances for Linux, and new low-cost CPU-only instances for Windows!

Introducing RTX4000 and RTX5000 announcement 

We're pleased to announce RTX4000 and RTX5000 instances are now generally available! 

These cards are based on NVIDIA's Turing microarchitecture and are more than 40% faster than their Pascal series counterparts.

Try RTX

Multi-GPU instances now available on Linux! announcement 

You can now access multi-GPU instances across all regions when selecting Linux as your OS!

P5000x2 instances start at $1.56/hr while P6000x2 instances start at $2.20/hr. 

Try multi-GPU

Low-cost Windows instances now available improvement 

We solidified CPU-only offerings for Windows instances and now provide C5 - C10 instances at an affordable hourly rate.

For just $0.08/hr you can run a full Core VM in the cloud!

Other Improvements

• We improved our backend error monitoring capabilities giving us substantially more insight into performance degradation and remediation
• We accelerated our equipment purchasing plan to provide new hardware faster to meet demand
• We re-wrote some business logic around storage capacity to be able to deliver much faster upgrades

We've added a new terminal interface to the Gradient IDE! 

Gradient Notebooks now offer terminal access announcement 

Previously you needed to open JupyterLab to access a unix terminal -- but now you can do so directly from the Gradient IDE! 

Just look for the terminal icon in the left sidebar of any Gradient Notebook. 

Terminals are great for managing files, installing or uninstalling libraries and packages, and for anything else that you'd like to do quickly without needing to run notebook cells.

Terminals are available today for G1 and higher subscribers. 

Other Improvements

• We shipped a basic version history viewer to Gradient Notebooks. Look for the History button in the left sidebar of any notebook
• We shipped a backend improvement that decreased notebook load times across all regions by ~1 second

Bugfixes

• We fixed a bug that sometimes produced excessive line breaks in cell outputs
• We now focus files correctly when creating/deleting in the IDE file manager
• We fixed a bug that sometimes caused stopped notebooks to show empty previews 

We've added file uploads as well as a number of useful improvements and bugfixes to Gradient Notebooks.

File uploader arrives in Gradient Notebooks announcement 

You can now upload files directly from the Gradient Notebook IDE file manager. To use the uploader select Upload File from the sidebar. Upload progress is visible at the top of the sidebar and uploaded files are available for immediate use. 

Other Improvements

• We've added a prominent Start Instance button to stopped notebooks to make it easier to pick up where you left off when returning to a notebook
• We've increased the visibility of the Stop Instance button
• We now provide CPU, GPU, and RAM system metrics in the notebook footer
• We added a link to the Billing  view from the main menu which makes it easier to find account-related information

Bugfixes

• We fixed a visual bug that caused notebook file delete confirmations to render as a button rather than as a text block
• We fixed an issue where files within a notebook would sometimes not have syntax highlighting
• We made it more difficult to run a container that requires a GPU on a CPU instances
• We fixed a bug that was causing some users to accidentally create multiple notebooks
• We fixed a bug that occasionally caused some notebooks to get stuck in a saving state 

For more info on this release be sure to check out the blogpost. 

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!

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!

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.