diff --git a/docs/cudf/source/user_guide/dask-cudf.md b/docs/cudf/source/user_guide/dask-cudf.md
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@@ -1,104 +0,0 @@
-# Multi-GPU with Dask-cuDF
-
-cuDF is a single-GPU library. For Multi-GPU cuDF solutions we use
-[Dask](https://dask.org/) and the [dask-cudf
-package](https://github.com/rapidsai/cudf/tree/main/python/dask_cudf),
-which is able to scale cuDF across multiple GPUs on a single machine,
-or multiple GPUs across many machines in a cluster.
-
-[Dask DataFrame](http://docs.dask.org/en/latest/dataframe.html) was
-originally designed to scale Pandas, orchestrating many Pandas
-DataFrames spread across many CPUs into a cohesive parallel DataFrame.
-Because cuDF currently implements only a subset of the Pandas API, not
-all Dask DataFrame operations work with cuDF.
-
-The following is tested and expected to work:
-
-## What works
-
-- Data ingestion
-
-  - `dask_cudf.read_csv`
-  - Use standard Dask ingestion with Pandas, then convert to cuDF (For
-    Parquet and other formats this is often decently fast)
-
-- Linear operations
-
-  - Element-wise operations: `df.x + df.y`, `df ** 2`
-  - Assignment: `df['z'] = df.x + df.y`
-  - Row-wise selections: `df[df.x > 0]`
-  - Loc: `df.loc['2001-01-01': '2005-02-02']`
-  - Date time/string accessors: `df.timestamp.dt.dayofweek`
-  - ... and most similar operations in this category that are already
-    implemented in cuDF
-
-- Reductions
-
-  - Like `sum`, `mean`, `max`, `count`, and so on on
-    `Series` objects
-  - Support for reductions on full dataframes
-  - `std`
-  - Custom reductions with
-    [dask.dataframe.reduction](https://docs.dask.org/en/latest/generated/dask.dataframe.Series.reduction.html)
-
-- Groupby aggregations
-
-  - On single columns: `df.groupby('x').y.max()`
-  - With custom aggregations:
-  - groupby standard deviation
-  - grouping on multiple columns
-  - groupby agg for multiple outputs
-
-- Joins:
-
-  - On full unsorted columns: `left.merge(right, on='id')`
-    (expensive)
-  - On sorted indexes:
-    `left.merge(right, left_index=True, right_index=True)` (fast)
-  - On large and small dataframes: `left.merge(cudf_df, on='id')`
-    (fast)
-
-- Rolling operations
-
-- Converting to and from other forms
-
-  - Dask + Pandas to Dask + cuDF
-    `df.map_partitions(cudf.DataFrame.from_pandas)`
-  - Dask + cuDF to Dask + Pandas
-    `df.map_partitions(lambda df: df.to_pandas())`
-  - cuDF to Dask + cuDF:
-    `dask.dataframe.from_pandas(df, npartitions=20)`
-  - Dask + cuDF to cuDF: `df.compute()`
-
-Additionally all generic Dask operations, like `compute`, `persist`,
-`visualize` and so on work regardless.
-
-## Developing the API
-
-Above we mention the following:
-
-> and most similar operations in this category that are already
-> implemented in cuDF
-
-This is because it is difficult to create a comprehensive list of
-operations in the cuDF and Pandas libraries. The API is large enough to
-be difficult to track effectively. For any operation that operates
-row-wise like `fillna` or `query` things will likely, but not
-certainly work. If operations don't work it is often due to a slight
-inconsistency between Pandas and cuDF that is generally easy to fix. We
-encourage users to look at the [cuDF issue
-tracker](https://github.com/rapidsai/cudf/issues) to see if their
-issue has already been reported and, if not, [raise a new
-issue](https://github.com/rapidsai/cudf/issues/new).
-
-## Navigating the API
-
-This project reuses the [Dask
-DataFrame](https://docs.dask.org/en/latest/dataframe.html) project,
-which was originally designed for Pandas, with the newer library cuDF.
-Because we use the same Dask classes for both projects there are often
-methods that are implemented for Pandas, but not yet for cuDF. As a
-result users looking at the full Dask DataFrame API can be misleading,
-and often lead to frustration when operations that are advertised in the
-Dask API do not work as expected with cuDF. We apologize for this in
-advance.
diff --git a/docs/cudf/source/user_guide/index.md b/docs/cudf/source/user_guide/index.md
index d99056f69f2..86168f0d81b 100644
--- a/docs/cudf/source/user_guide/index.md
+++ b/docs/cudf/source/user_guide/index.md
@@ -11,7 +11,6 @@ missing-data
 groupby
 guide-to-udfs
 cupy-interop
-dask-cudf
 options
 PandasCompat
 ```