diff --git a/CHANGELOG.md b/CHANGELOG.md
index 70bf2a61a103..4d2ab51837bf 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -41,6 +41,7 @@ This release is compatible with NumPy 2.5.
 
 * Removed support for arrays of 2-dimensional vectors in `dpnp.cross`, which now requires (arrays of) 3-dimensional vectors and raises `ValueError` otherwise [#2950](https://github.com/IntelPython/dpnp/pull/2950)
 * Removed `dpnp.row_stack` in favor of `dpnp.vstack` [#2956](https://github.com/IntelPython/dpnp/pull/2956)
+* Removed all references to the unimplemented `dpnp.ndarray.resize` method from the documentation [#2989](https://github.com/IntelPython/dpnp/pull/2989)
 
 ### Fixed
 
diff --git a/doc/reference/ndarray.rst b/doc/reference/ndarray.rst
index 3e217a68fd88..046648665f93 100644
--- a/doc/reference/ndarray.rst
+++ b/doc/reference/ndarray.rst
@@ -168,15 +168,14 @@ Array conversion
 Shape manipulation
 ------------------
 
-For reshape, resize, and transpose, the single tuple argument may be
-replaced with ``n`` integers which will be interpreted as an n-tuple.
+For reshape and transpose, the single tuple argument may be replaced with ``n``
+integers which will be interpreted as an n-tuple.
 
 .. autosummary::
    :toctree: generated/
    :nosignatures:
 
    ndarray.reshape
-   ndarray.resize
    ndarray.transpose
    ndarray.swapaxes
    ndarray.flatten
diff --git a/dpnp/dpnp_array.py b/dpnp/dpnp_array.py
index cd78c4556ae1..14cd519bbe84 100644
--- a/dpnp/dpnp_array.py
+++ b/dpnp/dpnp_array.py
@@ -1806,8 +1806,6 @@ def reshape(self, /, *shape, order="C", copy=None):
             shape = shape[0]
         return dpnp.reshape(self, shape, order=order, copy=copy)
 
-    # 'resize',
-
     def round(self, /, decimals=0, *, out=None):
         """
         Return array with each element rounded to the given number of decimals.
diff --git a/dpnp/dpnp_iface_manipulation.py b/dpnp/dpnp_iface_manipulation.py
index 559884acb049..3a6e263440a7 100644
--- a/dpnp/dpnp_iface_manipulation.py
+++ b/dpnp/dpnp_iface_manipulation.py
@@ -3070,9 +3070,7 @@ def resize(a, new_shape):
     Return a new array with the specified shape.
 
     If the new array is larger than the original array, then the new array is
-    filled with repeated copies of `a`. Note that this behavior is different
-    from ``a.resize(new_shape)`` which fills with zeros instead of repeated
-    copies of `a`.
+    filled with repeated copies of `a`.
 
     For full documentation refer to :obj:`numpy.resize`.
 
@@ -3092,7 +3090,6 @@ def resize(a, new_shape):
 
     See Also
     --------
-    :obj:`dpnp.ndarray.resize` : Resize an array in-place.
     :obj:`dpnp.reshape` : Reshape an array without changing the total size.
     :obj:`dpnp.pad` : Enlarge and pad an array.
     :obj:`dpnp.repeat` : Repeat elements of an array.