diff --git a/docs/OperatorKernels.md b/docs/OperatorKernels.md
index a01bd0e34b..7b04f3d679 100644
--- a/docs/OperatorKernels.md
+++ b/docs/OperatorKernels.md
@@ -1152,7 +1152,8 @@ Do not modify directly.*
 |Softsign|*in* input:**T**<br> *out* output:**T**|1+|**T** = tensor(float), tensor(float16)|
 |SpaceToDepth|*in* input:**T**<br> *out* output:**T**|13+|**T** = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
 |||1+|**T** = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|Split|*in* input:**T**<br> *in* split:**T**<br> *out* outputs...:**T**<br><br>or<br><br>*in* input:**T**<br> *in* split:**tensor(int64)**<br> *out* outputs:**T**<br><br>or<br><br>*in* input:**T**<br> *out* outputs:**T**|13+|**T** = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
+|Split|*in* input:**T**<br> *in* split:**T**<br> *out* outputs...:**T**<br><br>or<br><br>*in* input:**T**<br> *in* split:**tensor(int64)**<br> *out* outputs:**T**<br><br>or<br><br>*in* input:**T**<br> *out* outputs:**T**|18+|**T** = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
+|||13+|**T** = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
 |||11+|**T** = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
 |||2+|**T** = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
 |Sqrt|*in* X:**T**<br> *out* Y:**T**|13+|**T** = tensor(float), tensor(float16)|
diff --git a/onnxruntime/core/providers/dml/DmlExecutionProvider/src/Operators/DmlOperatorSplit.cpp b/onnxruntime/core/providers/dml/DmlExecutionProvider/src/Operators/DmlOperatorSplit.cpp
index df99a83c7c..638d31c82c 100644
--- a/onnxruntime/core/providers/dml/DmlExecutionProvider/src/Operators/DmlOperatorSplit.cpp
+++ b/onnxruntime/core/providers/dml/DmlExecutionProvider/src/Operators/DmlOperatorSplit.cpp
@@ -44,5 +44,6 @@ public:
 DML_OP_DEFINE_CREATION_FUNCTION(Split7, VersionedKernel<DmlOperatorSplit, 7>);
 DML_OP_DEFINE_CREATION_FUNCTION(Split11, VersionedKernel<DmlOperatorSplit, 11>);
 DML_OP_DEFINE_CREATION_FUNCTION(Split13, VersionedKernel<DmlOperatorSplit, 13>);
+DML_OP_DEFINE_CREATION_FUNCTION(Split18, VersionedKernel<DmlOperatorSplit, 18>);
 
 } // namespace Dml
diff --git a/onnxruntime/core/providers/dml/DmlExecutionProvider/src/Operators/OperatorRegistration.cpp b/onnxruntime/core/providers/dml/DmlExecutionProvider/src/Operators/OperatorRegistration.cpp
index 53bce5c715..83df19b5b6 100644
--- a/onnxruntime/core/providers/dml/DmlExecutionProvider/src/Operators/OperatorRegistration.cpp
+++ b/onnxruntime/core/providers/dml/DmlExecutionProvider/src/Operators/OperatorRegistration.cpp
@@ -280,6 +280,7 @@ DML_OP_EXTERN_CREATION_FUNCTION(Flatten);
 DML_OP_EXTERN_CREATION_FUNCTION(Split7);
 DML_OP_EXTERN_CREATION_FUNCTION(Split11);
 DML_OP_EXTERN_CREATION_FUNCTION(Split13);
+DML_OP_EXTERN_CREATION_FUNCTION(Split18);
 DML_OP_EXTERN_CREATION_FUNCTION(Transpose);
 DML_OP_EXTERN_CREATION_FUNCTION(Tile);
 DML_OP_EXTERN_CREATION_FUNCTION(Concat);
@@ -629,6 +630,7 @@ constexpr static OperatorRegistrationInformation operatorRegistrationInformation
     {REG_INFO_VER(  7,  Split,                              typeNameListDefault,            supportedTypeListAllScalars,            DmlGraphSupport::Supported)},
     {REG_INFO_VER( 11,  Split,                              typeNameListDefault,            supportedTypeListAllScalars,            DmlGraphSupport::Supported)},  // Adds negative axis.
     {REG_INFO_VER( 13,  Split,                              typeNameListDefault,            supportedTypeListAllScalars,            DmlGraphSupport::Supported,      requiredConstantCpuInputs(1))},  // Moves splits from constant parameter to dynamic input.
+    {REG_INFO_VER( 18,  Split,                              typeNameListDefault,            supportedTypeListAllScalars,            DmlGraphSupport::Supported,      requiredConstantCpuInputs(1))},
     {REG_INFO(      7,  Transpose,                          typeNameListDefault,            supportedTypeListAllScalars,            DmlGraphSupport::Supported)},
     {REG_INFO(     13,  Transpose,                          typeNameListDefault,            supportedTypeListAllScalars,            DmlGraphSupport::Supported)},
     {REG_INFO(      7,  Concat,                             typeNameListDefault,            supportedTypeListAllScalars,            DmlGraphSupport::Supported)},
diff --git a/onnxruntime/core/providers/dml/OperatorAuthorHelper/Attributes.h b/onnxruntime/core/providers/dml/OperatorAuthorHelper/Attributes.h
index b47e0c5ed1..a4c7b2fde3 100644
--- a/onnxruntime/core/providers/dml/OperatorAuthorHelper/Attributes.h
+++ b/onnxruntime/core/providers/dml/OperatorAuthorHelper/Attributes.h
@@ -64,6 +64,7 @@ namespace AttrName
     static constexpr const char* NewAxis = "new_axis";
     static constexpr const char* NoopWithEmptyAxes = "noop_with_empty_axes";
     static constexpr const char* NormalizeVariance = "normalize_variance";
+    static constexpr const char* NumOutputs = "num_outputs";
     static constexpr const char* P = "p";
     static constexpr const char* PaddingMode = "padding_mode";
     static constexpr const char* OutputHeight = "output_height";
diff --git a/onnxruntime/core/providers/dml/OperatorAuthorHelper/OperatorHelper.cpp b/onnxruntime/core/providers/dml/OperatorAuthorHelper/OperatorHelper.cpp
index 403f15ebf4..13c7e9d0a4 100644
--- a/onnxruntime/core/providers/dml/OperatorAuthorHelper/OperatorHelper.cpp
+++ b/onnxruntime/core/providers/dml/OperatorAuthorHelper/OperatorHelper.cpp
@@ -8,6 +8,13 @@
 
 namespace OperatorHelper
 {
+    template <typename T = uint32_t>
+    T DivideRoundUp(T x, T y)
+    {
+        assert(y != 0);
+        return (x + y - 1) / y;
+    }
+
     bool ContainsEmptyDimensions(gsl::span<const DimensionType> dimensions)
     {
         return std::find(dimensions.begin(), dimensions.end(), 0u) != dimensions.end();
@@ -923,6 +930,25 @@ namespace OperatorHelper
         const uint32_t inputDimCount = gsl::narrow_cast<int32_t>(inputDimensions.size());
         const uint32_t axis = operatorAttributes.GetOptionalAttribute<int32_t>(AttrName::Axis, 0);
         m_axis = static_cast<int>(HandleNegativeAxis(axis, inputDimCount));
+
+        if (opsetVersion >= 18) // num_outputs attribute is only defined in opset18.
+        {
+            const uint32_t numOutputs = operatorAttributes.GetOptionalAttribute<int32_t>(AttrName::NumOutputs, 0);
+            if (numOutputs > 0)
+            {
+                ML_CHECK_VALID_ARGUMENT(m_split.size() == 0);
+                auto inputSizeAlongAxis = inputDimensions.at(m_axis);
+                auto outputSizeAlongAxis = DivideRoundUp(inputSizeAlongAxis, numOutputs);
+                m_split.resize(numOutputs, outputSizeAlongAxis);
+                // Every output has the same size except potentially the last one, which may be smaller.
+                m_split.back() = static_cast<int>(inputSizeAlongAxis - (numOutputs - 1) * outputSizeAlongAxis);
+            }
+            else
+            {
+                // There is no num_outputs attribute set, so splits must be set.
+                ML_CHECK_VALID_ARGUMENT(m_split.size() > 0);
+            }
+        }
     }
 
     std::vector<EdgeShapes> SplitHelper::GetOutputShapes(const MLShapeInferenceContext& shapeInfo) const
diff --git a/onnxruntime/core/providers/dml/OperatorAuthorHelper/OperatorHelper.h b/onnxruntime/core/providers/dml/OperatorAuthorHelper/OperatorHelper.h
index 8629668bd4..2815cec715 100644
--- a/onnxruntime/core/providers/dml/OperatorAuthorHelper/OperatorHelper.h
+++ b/onnxruntime/core/providers/dml/OperatorAuthorHelper/OperatorHelper.h
@@ -1484,6 +1484,7 @@ using ShapeInferenceHelper_Flatten13 = FlattenHelper;
 using ShapeInferenceHelper_Split7 = VersionedOpsetHelper<SplitHelper, 7>;
 using ShapeInferenceHelper_Split11 = VersionedOpsetHelper<SplitHelper, 11>;
 using ShapeInferenceHelper_Split13 = VersionedOpsetHelper<SplitHelper, 13>;
+using ShapeInferenceHelper_Split18 = VersionedOpsetHelper<SplitHelper, 18>;
 using ShapeInferenceHelper_Transpose = TransposeHelper;
 using ShapeInferenceHelper_Concat = ConcatHelper;
 using ShapeInferenceHelper_Slice7 = VersionedOpsetHelper<SliceHelper, 7>;
diff --git a/onnxruntime/core/providers/dml/OperatorAuthorHelper/OperatorVersions.h b/onnxruntime/core/providers/dml/OperatorAuthorHelper/OperatorVersions.h
index 054faad5ba..10ba8bb156 100644
--- a/onnxruntime/core/providers/dml/OperatorAuthorHelper/OperatorVersions.h
+++ b/onnxruntime/core/providers/dml/OperatorAuthorHelper/OperatorVersions.h
@@ -400,6 +400,7 @@ namespace OperatorHelper
         static const int sc_sinceVer_ReduceMin = 18;
         static const int sc_sinceVer_ReduceProd = 18;
         static const int sc_sinceVer_ReduceSumSquare = 18;
+        static const int sc_sinceVer_Split = 18;
     }
 
     namespace MsftOperatorSet1
diff --git a/onnxruntime/test/providers/cpu/tensor/split_op_test.cc b/onnxruntime/test/providers/cpu/tensor/split_op_test.cc
index a1dd470a2d..7712a0a5bf 100644
--- a/onnxruntime/test/providers/cpu/tensor/split_op_test.cc
+++ b/onnxruntime/test/providers/cpu/tensor/split_op_test.cc
@@ -720,7 +720,13 @@ TEST(SplitOperatorTest, Split18_InvalidNumOutputs) {
                       3.f, 4.f}});
 
   int64_t num_outputs = 0;
-  RunTest<float>(axis, {}, input, outputs, {kTensorrtExecutionProvider, kQnnExecutionProvider}, true, true, num_outputs, false,
+  const std::unordered_set<std::string> excluded_providers =
+      {
+          kTensorrtExecutionProvider,
+          kQnnExecutionProvider,
+          kDmlExecutionProvider,  // Error message differs from expected CPU EP error message.
+      };
+  RunTest<float>(axis, {}, input, outputs, excluded_providers, true, true, num_outputs, false,
                  "Attribute `num_outputs` value cannot be lower than 1");
 
   outputs.clear();
@@ -730,7 +736,7 @@ TEST(SplitOperatorTest, Split18_InvalidNumOutputs) {
                      {0.f, 0.f}});
 
   num_outputs = 3;
-  RunTest<float>(axis, {}, input, outputs, {kTensorrtExecutionProvider, kQnnExecutionProvider}, true, true, num_outputs, false,
+  RunTest<float>(axis, {}, input, outputs, excluded_providers, true, true, num_outputs, false,
                  "Invalid num_outputs value of 3. Size of dimension being split is 2");
 }