diff --git a/aten/src/ATen/native/mps/OperationUtils.h b/aten/src/ATen/native/mps/OperationUtils.h
index df8f8bff368f8..223a57c3624a7 100644
--- a/aten/src/ATen/native/mps/OperationUtils.h
+++ b/aten/src/ATen/native/mps/OperationUtils.h
@@ -48,7 +48,7 @@ std::string getTensorsStringKey(const TensorList& tensors, bool use_scalar_value
 std::string getArrayRefString(const IntArrayRef s);
 // use has_storage() on the returned tensor to determine if src actually is a view
 Tensor gatherViewTensor(const at::Tensor& src, at::Tensor& dst);
-Tensor& scatterViewTensor(const at::Tensor& src, at::Tensor& output);
+Tensor& scatterViewTensor(const at::Tensor& src, at::Tensor& output, id<MTLBuffer> updatesBuffer = nil);
 
 MPSShape* getMPSShape(const Tensor& t);
 MPSShape* getMPSShape(IntArrayRef sizes);
diff --git a/aten/src/ATen/native/mps/operations/Copy.mm b/aten/src/ATen/native/mps/operations/Copy.mm
index 22de684454d5c..35309341af142 100644
--- a/aten/src/ATen/native/mps/operations/Copy.mm
+++ b/aten/src/ATen/native/mps/operations/Copy.mm
@@ -208,14 +208,30 @@ void copy_cast_mps(at::Tensor& dst, const at::Tensor& src,
     NSUInteger alignedLength = 0;
 
     void* alignedPtr = pageAlignedBlockPtr(host_src, (NSUInteger)src_total_size, &alignedLength);
-    id<MTLBuffer> sourceBuffer = [device newBufferWithBytesNoCopy:alignedPtr
-                                          length:alignedLength
-                                         options:options
-                                     deallocator:nil];
     sourceOffset = uintptr_t(host_src) - uintptr_t(alignedPtr);
     sourceOffset += src_.storage_offset() * src_.itemsize();
 
-    stream->copy_and_sync(sourceBuffer, destBuffer, size_to_copy, sourceOffset, dst_byte_offset, non_blocking);
+    id<MTLBuffer> sourceBuffer = nil;
+    // If the destination is a strided MPS tensor, we cannot perform a blit directly to copy the
+    // memory from the CPU tensor into the MPS tensor. We need to scatter the data into the right indices
+    bool doScatter = (!dst_.is_contiguous() && src.is_contiguous());
+    if (doScatter) {
+      sourceBuffer = [device newBufferWithBytes:(void*)((uint8_t*)host_src + (src_.storage_offset() * src_.itemsize()))
+                                         length:size_to_copy
+                                        options:options];
+    }
+    else {
+      sourceBuffer = [device newBufferWithBytesNoCopy:alignedPtr
+                                               length:alignedLength
+                                              options:options
+                                          deallocator:nil];
+    }
+
+    if (doScatter) {
+      scatterViewTensor(src, dst_, sourceBuffer);
+    } else {
+      stream->copy_and_sync(sourceBuffer, destBuffer, size_to_copy, sourceOffset, dst_byte_offset, non_blocking);
+    }
     [sourceBuffer release];
   }
 
diff --git a/aten/src/ATen/native/mps/operations/View.mm b/aten/src/ATen/native/mps/operations/View.mm
index c4f1cc3ca28f6..043f0a110bb94 100644
--- a/aten/src/ATen/native/mps/operations/View.mm
+++ b/aten/src/ATen/native/mps/operations/View.mm
@@ -28,7 +28,12 @@
 }
 
 // initializes the MTLBuffers for tensor data and runs the MPSGraph for the view op
-static Tensor& runViewGraph(ViewCachedGraph* cachedGraph, const at::Tensor& src, Tensor& output, bool needsScatter)
+static Tensor& runViewGraph(
+  ViewCachedGraph* cachedGraph,
+  const at::Tensor& src,
+  Tensor& output,
+  bool needsScatter,
+  id<MTLBuffer> updatesBuffer = nil)
 {
   const id<MTLBuffer> sourceBuffer = getMTLBufferStorage(src);
   const id<MTLBuffer> outputBuffer = getMTLBufferStorage(output);
@@ -49,7 +54,7 @@
                                                                                shape: inputShape
                                                                             dataType: inputType] autorelease];
     if (needsScatter) {
-      feeds[cachedGraph->updatesTensor] = [[[MPSGraphTensorData alloc] initWithMTLBuffer: sourceBuffer
+      feeds[cachedGraph->updatesTensor] = [[[MPSGraphTensorData alloc] initWithMTLBuffer: (updatesBuffer != nil) ? updatesBuffer : sourceBuffer
                                                                                    shape: getMPSShape(src.numel())
                                                                                 dataType: inputType] autorelease];
     }
@@ -603,11 +608,11 @@ Tensor gatherViewTensor(const at::Tensor& src, at::Tensor& dst)
   return runViewGraph(cachedGraph, src, dst.has_storage() ? dst : output, /*needsScatter*/ false);
 }
 
-Tensor& scatterViewTensor(const at::Tensor& src, at::Tensor& output)
+Tensor& scatterViewTensor(const at::Tensor& src, at::Tensor& output, id<MTLBuffer> updatesBuffer)
 {
   ViewCachedGraph* cachedGraph = createViewGraph(output, output.sizes(), output.strides(),
                                                  output.storage_offset(), /*needsScatter*/ true);
-  return runViewGraph(cachedGraph, src, output, /*needsScatter*/ true);
+  return runViewGraph(cachedGraph, src, output, /*needsScatter*/ true, updatesBuffer);
 }
 
 } // namespace mps
diff --git a/test/test_mps.py b/test/test_mps.py
index 29ac0872d6a6f..7e0dafda8ab60 100644
--- a/test/test_mps.py
+++ b/test/test_mps.py
@@ -1290,6 +1290,19 @@ def test_expand_cpu_to_mps_copy(self):
 
         self.assertEqual(x_cpu, x.cpu())
 
+    def test_cpu_to_strided_mps_copy(self):
+        # https://github.com/pytorch/pytorch/issues/86975
+
+        a1 = torch.Tensor([[1,2],[3,4], [5,6]]).to(torch.device("mps"))
+        b1 = torch.Tensor([-1, -1])
+        a1[1:,1] = b1
+
+        a2 = torch.Tensor([[1,2],[3,4], [5,6]]).to(torch.device("mps"))
+        b2 = torch.Tensor([-1, -1]).to(torch.device("mps"))
+        a2[1:,1] = b2
+
+        self.assertEqual(a1, a2)
+
     def test_view_slice(self):
         # https://github.com/pytorch/pytorch/issues/83995
         NUM_SAMPLES=60
@@ -6128,7 +6141,6 @@ def test_view(self, device="mps"):
         self.assertRaises(RuntimeError, lambda: tensor.view(7, -1))
         self.assertRaises(RuntimeError, lambda: tensor.view(15, -1, -1))
 
-    # RuntimeError: Invalid device for storage: mps
     def test_contiguous(self, device="mps"):
         x = torch.randn(1, 16, 5, 5, device=device)
         self.assertTrue(x.is_contiguous())