Switching out references of Iterative Studio to DVC Studio

content/docs/dvclive/live/log_image.md

@@ -92,7 +92,7 @@ with Live() as live:
       live.next_step()
 ```
 
-In [Iterative Studio](https://studio.iterative.ai/) and the
+In [DVC Studio](https://studio.iterative.ai/) and the
 [DVC Extension for VSCode](https://marketplace.visualstudio.com/items?itemName=Iterative.dvc),
 folders following this pattern will be rendered using an image slider:
 

content/docs/studio/experiments.md

@@ -3,9 +3,9 @@
 You can submit your experiments from your favorite interface - whether it is
 Jupyter Notebooks, a code editor or IDE like [VS Code](/doc/vs-code-extension),
 the Python cli, the bash terminal, etc. To quickly start tracking your
-experiments with Iterative Studio:
+experiments with DVC Studio:
 
-- Click on `Add a project` to connect Iterative Studio to your ML project's Git
+- Click on `Add a project` to connect DVC Studio to your ML project's Git
   repository.
 
 - In your model training environment, install [DVCLive]:
@@ -42,15 +42,15 @@ experiments with Iterative Studio:
   ```
 
 - The metrics and plots will be [tracked live][live-metrics-and-plots] in the
-  project in Iterative Studio.
+  project in DVC Studio.
 
 ## More ways to run and track experiments
 
-Iterative Studio offers more ways to run and track experiments - you can:
+DVC Studio offers more ways to run and track experiments - you can:
 
 - set up reproducible pipelines with DVC,
 - submit new experiments from the VS Code IDE,
-- submit new experiments from Iterative Studio, and have them run in your own
+- submit new experiments from DVC Studio, and have them run in your own
   cloud infrastructure.
 
 For details on all these, check out the

content/docs/studio/index.md

@@ -1,6 +1,6 @@
-# Iterative Studio
+# DVC Studio
 
-[Iterative Studio](https://studio.iterative.ai/) is a web application that
+[DVC Studio](https://studio.iterative.ai/) is a web application that
 enables Machine Learning teams to seamlessly
 
 - [Run and track experiments](/doc/studio/experiments)
@@ -11,15 +11,15 @@ It works on top of [DVC](https://dvc.org/) and [Git](https://git-scm.com/),
 maintaining Git as the single-source-of-truth for your data, experiments and
 models.
 
-Sign in to [Iterative Studio](https://studio.iterative.ai/) using your
+Sign in to [DVC Studio](https://studio.iterative.ai/) using your
 GitHub.com, GitLab.com, or Bitbucket.org account, or with your email address.
 Explore the demo projects and models, and
 [let us know](/doc/studio/user-guide/troubleshooting#support) if you need any
 help getting started.
 
 https://www.youtube.com/watch?v=w-UjAbdpRY4
 
-## Why Iterative Studio?
+## Why DVC Studio?
 
 - Simplify ML experiment tracking, visualization, and collaboration on top of
   Git.

content/docs/studio/model-registry.md

@@ -1,14 +1,14 @@
 # Manage models
 
-Iterative Studio provides a model registry that you can access by clicking on
+DVC Studio provides a model registry that you can access by clicking on
 the [`Models` tab](https://studio.iterative.ai/user/-/models). Your project's
 `dvc.yaml` files are used to identify ML models and
 [specially formatted Git tags](/doc/gto/user-guide#git-tags-format) are used to
 identify model versions and stage assignments.
 
-To quickly start tracking your models in the Iterative Studio model registry:
+To quickly start tracking your models in the DVC Studio model registry:
 
-- Click on `Add a project` to connect Iterative Studio to your ML project's Git
+- Click on `Add a project` to connect DVC Studio to your ML project's Git
   repository.
 
 - In your model training environment, install [DVCLive](/doc/dvclive):
@@ -49,10 +49,10 @@ To quickly start tracking your models in the Iterative Studio model registry:
 
 ## More ways to add models
 
-Iterative Studio offers more ways to add models to the model registry - you can:
+DVC Studio offers more ways to add models to the model registry - you can:
 
 - edit `dvc.yaml` directly and add your model to artifacts section, or
-- add models from the Iterative Studio interface.
+- add models from the DVC Studio interface.
 
 Find the complete tutorial
 [here](/doc/studio/user-guide/model-registry/add-a-model).

content/docs/studio/self-hosting/installation/aws-ami.md

@@ -138,7 +138,7 @@ Replace the strings marked with `< >`
 ubuntu@ami:~$ helm install --wait studio iterative/studio --namespace studio -f values.yaml
 ```
 
-16. You're done! Access Iterative Studio by opening the configured hostname in
+16. You're done! Access DVC Studio by opening the configured hostname in
     your browser
 
 ![](/img/studio-selfhosted-ami-9.png)

content/docs/studio/self-hosting/installation/index.md

@@ -1,6 +1,6 @@
 ## Self-hosting Studio
 
-Studio Enterprise users can host Iterative Studio on their own infrastructure
+Studio Enterprise users can host DVC Studio on their own infrastructure
 (on-premises) or in their cloud accounts.
 
 Please note that our support is needed to make the Studio's cloud/Docker images

content/docs/studio/user-guide/account-and-billing/billing-and-payment.md

@@ -43,7 +43,7 @@ details]).
 For Basic plans, invoice amount is calculated based on the number of seats in
 the team. All invoice amounts are calculated for one billing period at a time. A
 billing period is one month long. The price per seat can be found in the
-Iterative Studio [pricing page](https://studio.iterative.ai/pricing).
+DVC Studio [pricing page](https://studio.iterative.ai/pricing).
 
 For example, suppose you have a team with 5 seats. At a monthly rate of $40 per
 seat, the total payable amount for the team would be $40 x 5 = $200 per month.
@@ -107,7 +107,7 @@ subscription at the end of the billing period.
 
 At the end of your billing period, if we are unable to process your payment, you
 will enter a grace period of 5 days during which you must provide valid payment.
-During this time you will continue to have full access to Iterative Studio.
+During this time you will continue to have full access to DVC Studio.
 
 Your account's primary email address will be notified after each failed payment.
 Payments may be retried up to 4 times. To provide a new payment method, go to
@@ -139,6 +139,6 @@ you see your payment history and get a copy of your invoices.
 
 ## Other questions
 
-You can find answers to other frequently asked questions in the Iterative Studio
+You can find answers to other frequently asked questions in the DVC Studio
 [FAQ page](https://studio.iterative.ai/faq). If you have any other questions,
 please [contact us].

content/docs/studio/user-guide/account-and-billing/index.md

@@ -1,7 +1,7 @@
 # Account Management
 
 To open your account settings, click on your user icon on the top right corner
-of Iterative Studio, and go to your `Profile`. You can view and update the
+of DVC Studio, and go to your `Profile`. You can view and update the
 following settings:
 
 - [Personal details](#personal-details), including name, username and email
@@ -34,13 +34,13 @@ You can edit your name as well as username.
 
 ### Managing email addresses
 
-You can add multiple email addresses to a single Iterative Studio account. You
+You can add multiple email addresses to a single DVC Studio account. You
 can login to the account with any of your verified email addresses as long as
 you have set up a password for your account. This is true even if you signed up
 using your GitHub, GitLab, or Bitbucket.
 
 One of your email addresses must be designated as primary. This is the address
-to which Iterative Studio will send all your account notification emails.
+to which DVC Studio will send all your account notification emails.
 
 You can change your primary email address by clicking on the `Primary` button
 next to the email address which you want to designate as primary.
@@ -54,7 +54,7 @@ page.
 
 ### Studio access token
 
-Iterative Studio uses access tokens to authorize [DVC] and [DVCLive] to send
+DVC Studio uses access tokens to authorize [DVC] and [DVCLive] to send
 experiment updates.
 
 In the `Studio access token` section of your [Profile] page, you can generate a
@@ -209,14 +209,14 @@ In this section, you can,
 - Connect to GitHub.com, GitLab.com or Bitbucket.org.
 
   When you connect to a Git hosting provider, you will be prompted to grant
-  Iterative Studio access to your account.
+  DVC Studio access to your account.
 
-  To connect to your GitHub repositories, you must install the Iterative Studio
+  To connect to your GitHub repositories, you must install the DVC Studio
   GitHub app. Refer to the section on
   [GitHub app installation](/doc/studio/user-guide/git-integrations/github-app)
   for more details.
 
-  Note that if you signed up to use Iterative Studio using your GitHub, GitLb or
+  Note that if you signed up to use DVC Studio using your GitHub, GitLb or
   Bitbucket account, integration with that Git account will have been created
   during sign up.
 
@@ -227,7 +227,7 @@ In this section, you can,
   in the [team settings].
 
 - Disconnect from your GitHub, GitLab, or Bitbucket accounts.
-- Configure your GitHub account connection. That is, install the Iterative
+- Configure your GitHub account connection. That is, install the DVC
   Studio GitHub app on additional organizations or repositories, or even remove
   the app from organizations or repositories where you no longer need it.
 
@@ -239,7 +239,7 @@ are absolutely sure that you do not need those projects or links anymore.
 
 <admon>
 
-Deleting your account in Iterative Studio does not delete your Git repositories.
+Deleting your account in DVC Studio does not delete your Git repositories.
 
 </admon>
 

content/docs/studio/user-guide/experiments/configure-a-project.md

@@ -41,7 +41,7 @@ during the initial [create project] flow.
 Here, the [data remotes](/doc/user-guide/data-management/remote-storage) (cloud
 storage or another location outside the Git repo) that are used in your DVC repo
 will be listed. If you want your project to include data stored in these data
-remotes, you will have to add credentials to grant Iterative Studio access to
+remotes, you will have to add credentials to grant DVC Studio access to
 the data remotes. Credentials that you have already added to your account are
 listed in this section, and you can select them to add them to the project.
 
@@ -65,7 +65,7 @@ Any credentials that you
 [add in your profile page](/doc/studio/user-guide/account-and-billing#cloud-credentials)
 are also available in your project settings page.
 
-Note that Iterative Studio uses the credentials only to read plots/metrics files
+Note that DVC Studio uses the credentials only to read plots/metrics files
 if they are not saved in Git. It does not access any other data in your remote
 storage. And you do not need to provide the credentials if any DVC data remote
 is not used in your Git repository.
@@ -78,7 +78,7 @@ is not used in your Git repository.
 ## Commits and columns
 
 You can specify which Git commits and columns should be imported from your Git
-repository to your project in Iterative Studio, and which ones should be
+repository to your project in DVC Studio, and which ones should be
 excluded.
 
 ### Start date/time
@@ -107,8 +107,8 @@ If your project is missing some required columns, then it is likely that
 <admon type="warn">
 
 The **Columns** setting was earlier called **Tracking scope** or **Mandatory
-columns** and behaved slightly differently. Iterative Studio would always import
-up to 200 columns. This meant that if you selected only 5 columns, Iterative
+columns** and behaved slightly differently. DVC Studio would always import
+up to 200 columns. This meant that if you selected only 5 columns, DVC
 Studio would still import another 195 columns, unless your repository did not
 have so many columns. This behavior is now obsolete, and only selected columns
 are imported.

content/docs/studio/user-guide/experiments/create-a-project.md

@@ -10,7 +10,7 @@ In this section, you will learn how to:
 
 To add a new project, follow these steps.
 
-1. Sign in to [Iterative Studio](https://studio.iterative.ai/) using your
+1. Sign in to [DVC Studio](https://studio.iterative.ai/) using your
    GitHub.com, GitLab.com, or Bitbucket.org account, or with your email address.
 
 2. Click on `Add a Project`. All the organizations that you have access to will
@@ -22,7 +22,7 @@ To add a new project, follow these steps.
    that
    [the connection to your Git server has been set up](/doc/studio/user-guide/account-and-billing#git-integrations).
 
-   To connect to your GitHub repositories, you must install the Iterative Studio
+   To connect to your GitHub repositories, you must install the DVC Studio
    GitHub app. Refer to the section on
    [GitHub app installation](/doc/studio/user-guide/git-integrations/github-app)
    for more details.
@@ -59,7 +59,7 @@ To add a new project, follow these steps.
    <admon type = "tip">
 
    You can create multiple projects at once by providing up to 10
-   comma-separated values. Iterative Studio will create one project for each
+   comma-separated values. DVC Studio will create one project for each
    sub-directory in the list.
 
    </admon>
@@ -70,7 +70,7 @@ You should now see that the project has been added in your dashboard.
 
 ## Create multiple projects from a single Git repository
 
-You can create multiple projects in Iterative Studio from a single Git
+You can create multiple projects in DVC Studio from a single Git
 repository and apply different settings to them.
 
 One use case for this is if you have a
@@ -82,7 +82,7 @@ For each ML project in the monorepo, follow the
 the Git repository. On the additional settings page [specify the sub-directory]
 (or up to 10 comma-separated values) in which the desired ML project resides.
 
-This way, you will have multiple Iterative Studio projects for your single Git
+This way, you will have multiple DVC Studio projects for your single Git
 repository, with each project presenting values from a different sub-directory.
 
 [specify the sub-directory]:

content/docs/studio/user-guide/experiments/explore-ml-experiments.md

@@ -1,6 +1,6 @@
 # Explore ML Experiments
 
-The projects dashboard in Iterative Studio contains all your projects. Click on
+The projects dashboard in DVC Studio contains all your projects. Click on
 a project name to open the project table, which contains:
 
 - [Git history and live experiments](#git-history-and-live-metrics) of the
@@ -58,7 +58,7 @@ When a Git branch (e.g., `feature-branch-1`) is created from another branch
   - if the user has merged `feature-branch-1` into `main` and has not pushed any
     new commits to it after the merger.
 
-  Since the branch does not contain any new unique commits, Iterative Studio
+  Since the branch does not contain any new unique commits, DVC Studio
   considers `feature-branch-1` as **"nested"** within `main` and does not
   display it as a separate branch. This helps to keep the project table concise
   and reduce clutter that can accumulate over time when inactive branches are
@@ -138,10 +138,10 @@ dropdown.
 
 Commits can be hidden from the project table in the following ways:
 
-- **Iterative Studio auto-hides irrelevant commits:** Iterative Studio
+- **DVC Studio auto-hides irrelevant commits:** DVC Studio
   identifies commits where metrics, files and hyperparameters did not change and
   hides them automatically.
-- **Iterative Studio auto-hides commits that contain `[skip studio]` in the
+- **DVC Studio auto-hides commits that contain `[skip studio]` in the
   commit message:** This is particularly useful if your workflow creates
   multiple commits per experiment and you would like to hide all those commits
   except the final one.
@@ -184,7 +184,7 @@ toggle between these two options, use the `Delta mode` button.
 
 Whenever you make any changes to your project's columns, commits or filters, a
 notification to save or discard your changes is displayed at the top of the
-project table. Saved changes remain intact even after you log out of Iterative
+project table. Saved changes remain intact even after you log out of DVC
 Studio and log back in later.
 
 ![Save or discard changes](https://static.iterative.ai/img/studio/save_discard_changes.png)

content/docs/studio/user-guide/experiments/index.md

@@ -3,15 +3,15 @@
 You can submit your experiments from your favorite interface - whether it is
 Jupyter Notebooks, a code editor or IDE like [VS Code](/doc/vs-code-extension),
 the Python cli, the bash terminal, etc. You can also [submit new experiments
-from Iterative Studio][run-experiments].
+from DVC Studio][run-experiments].
 
-You can track live as well as completed experiments in Iterative Studio. First,
-click on `Add a project` to connect Iterative Studio to your ML project's Git
+You can track live as well as completed experiments in DVC Studio. First,
+click on `Add a project` to connect DVC Studio to your ML project's Git
 repository. Then, follow the instructions presented below.
 
 ## Track experiments in real-time
 
-To quickly start tracking your experiments with Iterative Studio:
+To quickly start tracking your experiments with DVC Studio:
 
 - In your model training environment, install [DVCLive]:
 
@@ -54,7 +54,7 @@ To quickly start tracking your experiments with Iterative Studio:
   ```
 
 - The metrics and plots will be [tracked live][live-metrics-and-plots] in the
-  project in Iterative Studio.
+  project in DVC Studio.
 
 ## Track reproducible pipelines
 
@@ -103,7 +103,7 @@ To set up, run and track
   dvc exp push origin <exp_name>
   ```
 
-- Iterative Studio reads the values of metrics, plots and other details from
+- DVC Studio reads the values of metrics, plots and other details from
   your project's `dvc.yaml` file, and displays them in an experiment row in the
   project table. The experiment row will appear nested within the parent Git
   commit row.
@@ -122,9 +122,9 @@ Within a project, you can:
 - [Visualize the experiments][visualize] using plots and trend charts.
 - [Compare experiments][compare].
 - [Run new experiments][run-experiments], including on your own cloud instances,
-  directly from Iterative Studio.
+  directly from DVC Studio.
 - [Track live metrics and plots][live-metrics-and-plots] by sending them to
-  Iterative Studio by using [DVCLive].
+  DVC Studio by using [DVCLive].
 
 [explore-ml-experiments]:
   /doc/studio/user-guide/experiments/explore-ml-experiments