Dedicated Cloud support for run fork/rewind

models/runs/forking.mdx

@@ -3,9 +3,9 @@ description: Explore different parameters or models from a specific point in an
 title: Fork a run
 ---
 
-<Warning>
-The ability to fork a run is in active development and in private preview. Contact W&B Support at support@wandb.com to request access to this feature.
-</Warning>
+<Note>
+The ability to fork a run is in active development. It is in preview for Multi-tenant Cloud and Dedicated Cloud, and not yet available in Self-Managed.
+</Note>
 
 You can explore different hyperparameters or models from a specific point in an experiment without impacting the original run. To do this, fork from an existing W&B run.
 

models/runs/rewind.mdx

@@ -5,18 +5,25 @@ title: Rewind a run
 
 Rewind a run to modify the history of a run. When you rewind a run, W&B resets the state of the run to the specified step while maintaining the same run ID. 
 
-<Warning>
-The option to rewind a run is in private preview and in active development. Due to known performance limitations with Rewind, W&B typically recommends [Forking](./forking) as an alternative.
+<Note>
+The ability to rewind a run is in active development. It is in preview for Multi-tenant Cloud and Dedicated Cloud, and not yet available in Self-Managed.
+
+Due to known performance limitations with rewind, W&B typically recommends [Forking](./forking) as an alternative.
+</Note>
+
+### Prerequisites
+Before you rewind a run, ensure you meet the following prerequisites:
 
-W&B currently does not support:
+* To rewind a run, you must have [W&B Python SDK](https://pypi.org/project/wandb/) version >= `0.17.1`.
+* You must use monotonically increasing steps. This does not work with non-monotonic steps defined with [`define_metric()`](/models/ref/python/experiments/run#define_metric) because it disrupts the required chronological order of run history and system metrics.
+
+### Limitations
+Rewind does not support the following:
 * **Log rewind**: Logs are reset in the new run segment.
 * **System metrics rewind**: W&B logs only new system metrics after the rewind point.
 * **Artifact association**: W&B associates artifacts with the source run that produces them.
 
-Contact W&B Support at support@wandb.com to request access to this feature.
-</Warning>
-
-W&B recomputes the summary metrics for the run you rewind based on the newly logged history. This means the following behavior:
+W&B recomputes the summary metrics for the run you rewind based on the newly logged history, with the following results:
 - **History truncation**: W&B truncates the history to the rewind point, allowing new data logging.
 - **Summary metrics**: Recomputed based on the newly logged history.
 - **Configuration preservation**: W&B preserves the original configurations and you can merge new configurations.
@@ -26,22 +33,13 @@ W&B recomputes the summary metrics for the run you rewind based on the newly log
 - **Run archiving**: W&B archives the original runs. Runs are accessible from the [Run Overview](./#overview-tab) tab.
 - **Artifact association**: Associates artifacts with the run that produce them. */}
 
-<Note>
-**Rewind and forking compatibility**
+### Rewind and forking compatibility
 
 Forking complements a rewind.
 
 When you fork from a run, W&B creates a new branch off a run at a specific point to try different parameters or models. 
 
 When you rewind a run, W&B lets you correct or modify the run history itself.
-</Note>
-
-## Prerequisites
-
-Before you rewind a run, ensure you meet the following prerequisites:
-
-* To rewind a run, you must have [W&B Python SDK](https://pypi.org/project/wandb/) version >= `0.17.1`.
-* You must use monotonically increasing steps. This does not work with non-monotonic steps defined with [`define_metric()`](/models/ref/python/experiments/run#define_metric) because it disrupts the required chronological order of run history and system metrics.
 
 ## Rewind a run
 
@@ -120,4 +118,4 @@ forked_run = wandb.init(
 for i in range(500, 1000):
     forked_run.log({"metric": i*3})
 forked_run.finish()
-```
+```

support/models/articles/how-can-i-overwrite-the-logs-from-previo.mdx

@@ -5,8 +5,12 @@ keywords: ["Logs", "Metrics"]
 
 To overwrite logs from previous steps, use [forking](/models/runs/forking) and [rewind](/models/runs/rewind).
 
+<Note>
+The ability to fork or rewind a run is in active development. It is in preview for Multi-tenant Cloud and Dedicated Cloud, and not yet available in Self-Managed.
+</Note>
+
 ---
 
 {/* AUTO-GENERATED: tab badges */}
 <Badge stroke shape="pill" color="orange" size="md">[Logs](/support/models/tags/logs)</Badge><Badge stroke shape="pill" color="orange" size="md">[Metrics](/support/models/tags/metrics)</Badge>
-{/* END AUTO-GENERATED: tab badges */}
+{/* END AUTO-GENERATED: tab badges */}

support/models/tags/logs.mdx

@@ -9,7 +9,7 @@ template: "scripts/knowledgebase-nav/templates/support_tag.mdx.j2"
   "Is the logging function lazy? I don't want to depend on the network to send results to your servers while executing loc ...
 </Card>
 <Card title="How can I overwrite the logs from previous steps?" href="/support/models/articles/how-can-i-overwrite-the-logs-from-previo" arrow="true" horizontal>
-  To overwrite logs from previous steps, use forking and rewind.
+  To overwrite logs from previous steps, use forking and rewind. The ability to fork or rewind a run is in active developm ...
 </Card>
 <Card title="How do I log a list of values?" href="/support/models/articles/how-do-i-log-a-list-of-values" arrow="true" horizontal>
   These examples show logging losses a couple of different ways using wandb.Run.log(). For more, see the documentation on  ...

support/models/tags/metrics.mdx

@@ -21,7 +21,7 @@ template: "scripts/knowledgebase-nav/templates/support_tag.mdx.j2"
   There are several ways to manage experiments. For complex workflows, use multiple runs and set the group parameters in w ...
 </Card>
 <Card title="How can I overwrite the logs from previous steps?" href="/support/models/articles/how-can-i-overwrite-the-logs-from-previo" arrow="true" horizontal>
-  To overwrite logs from previous steps, use forking and rewind.
+  To overwrite logs from previous steps, use forking and rewind. The ability to fork or rewind a run is in active developm ...
 </Card>
 <Card title="How do I fix `Rate limit exceeded` errors when logging metrics?" href="/support/models/articles/rate-limit-exceeded-on-metric-logging" arrow="true" horizontal>
   If you receive an HTTP 429 Rate limit exceeded error when calling wandb.log(), you are exceeding the rate limit quota fo ...