diff --git a/src/backends/gpuFsa/layers/CMakeLists.txt b/src/backends/gpuFsa/layers/CMakeLists.txt
index 5e0d0e7..8ffa934 100644
--- a/src/backends/gpuFsa/layers/CMakeLists.txt
+++ b/src/backends/gpuFsa/layers/CMakeLists.txt
@@ -4,6 +4,8 @@
 #
 
 list(APPEND armnnGpuFsaBackendLayers_sources
+        GpuFsaCast.cpp
+        GpuFsaCast.hpp
         GpuFsaConvolution2d.cpp
         GpuFsaConvolution2d.hpp
         GpuFsaDepthwiseConvolution2d.cpp
diff --git a/src/backends/gpuFsa/layers/GpuFsaCast.cpp b/src/backends/gpuFsa/layers/GpuFsaCast.cpp
new file mode 100644
index 0000000..b5a0747
--- /dev/null
+++ b/src/backends/gpuFsa/layers/GpuFsaCast.cpp
@@ -0,0 +1,101 @@
+//
+// Copyright © 2024 Arm Ltd and Contributors. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#include "GpuFsaCast.hpp"
+#include "gpuFsa/GpuFsaBackendId.hpp"
+
+#include <aclCommon/ArmComputeTensorUtils.hpp>
+
+#include <arm_compute/dynamic_fusion/sketch/gpu/operators/GpuCast.h>
+#include <arm_compute/dynamic_fusion/sketch/gpu/operators/GpuOutput.h>
+#include <arm_compute/dynamic_fusion/sketch/gpu/GpuWorkloadContext.h>
+#include <arm_compute/dynamic_fusion/sketch/gpu/GpuWorkloadSketch.h>
+
+using namespace arm_compute::experimental::dynamic_fusion;
+
+namespace armnn
+{
+
+static constexpr arm_compute::ConvertPolicy g_AclConvertPolicy = arm_compute::ConvertPolicy::SATURATE;
+
+static CastAttributes CastAttributesFromTensorInfo(const TensorInfo& input)
+{
+    using namespace armcomputetensorutils;
+
+    CastAttributes cast_attr;
+    arm_compute::DataType dataType = GetArmComputeDataType(input.GetDataType(), false);
+    cast_attr.data_type(dataType).convert_policy(g_AclConvertPolicy);
+    return cast_attr;
+}
+
+arm_compute::Status GpuFsaCastValidate(const TensorInfo& input, const TensorInfo& output)
+{
+    using namespace armcomputetensorutils;
+
+    // Create a new workload sketch, for validation purposes
+    auto compileCtx         = arm_compute::CLKernelLibrary::get().get_compile_context();
+    auto workloadContext    = GpuWorkloadContext(&compileCtx);
+    GpuWorkloadSketch sketch{ &workloadContext };
+
+    arm_compute::TensorInfo aclinputInfo = BuildArmComputeTensorInfo(input, input.GetNumDimensions());
+
+    aclinputInfo.set_are_values_constant(input.IsConstant());
+
+    arm_compute::ITensorInfo*  inputInfo0 = workloadContext.create_tensor_info(aclinputInfo);
+
+    CastAttributes cast_attr = CastAttributesFromTensorInfo(output);
+
+    arm_compute::Status aclStatus = GpuCast::validate_op(sketch, inputInfo0, cast_attr);
+#ifndef NDEBUG
+    const bool validated = aclStatus.error_code() == arm_compute::ErrorCode::OK;
+    if (!validated)
+    {
+        std::cout << "GpuFsaCastValidate failed: " << aclStatus.error_description() << std::endl;
+    }
+#endif
+    return aclStatus;
+}
+
+void GpuFsaCastCreateOp(GpuFsaPreCompiledBlob* blob,
+                        const TensorInfo& input,
+                        const TensorInfo& output)
+{
+    using namespace armcomputetensorutils;
+
+    GpuWorkloadSketch* sketch           = blob->sketch.get();
+    GpuWorkloadContext* workloadContext = blob->workloadContext.get();
+    std::vector<arm_compute::ITensorInfo*> inputTensorInfos  = {};
+    std::vector<arm_compute::ITensorInfo*> outputTensorInfos = {};
+
+    arm_compute::TensorInfo aclinputInfo = BuildArmComputeTensorInfo(input, input.GetNumDimensions());
+
+    aclinputInfo.set_are_values_constant(input.IsConstant());
+
+    inputTensorInfos.emplace_back(workloadContext->create_tensor_info(aclinputInfo));
+
+    CastAttributes cast_attr = CastAttributesFromTensorInfo(output);
+
+    // Validate operator, check status and update reasonIfUnsupported
+    arm_compute::Status aclStatus = GpuCast::validate_op(*sketch, inputTensorInfos[0], cast_attr);
+    const bool validated = aclStatus.error_code() == arm_compute::ErrorCode::OK;
+    if (!validated)
+    {
+        throw BackendCapabilityException("\"" + std::string(GpuFsaBackendId())
+                                         + "\" backend failed during cast operator validation");
+    }
+
+    arm_compute::ITensorInfo* castOutputInfo =
+            GpuCast::create_op(*sketch, inputTensorInfos[0], cast_attr);
+
+    // Temporary fix until fusing attempt is make for GpuFsa backend and Output layer workload is created.
+    outputTensorInfos.emplace_back(workloadContext->create_tensor_info());
+    GpuOutput::create_op(*sketch, castOutputInfo, outputTensorInfos[0]);
+
+    // Store the TensorInfos within the blob as unique_ptrs to be used later
+    blob->inputTensorInfos  = std::make_unique<std::vector<arm_compute::ITensorInfo*>>(inputTensorInfos);
+    blob->outputTensorInfos = std::make_unique<std::vector<arm_compute::ITensorInfo*>>(outputTensorInfos);
+}
+
+} // namespace armnn
\ No newline at end of file
diff --git a/src/backends/gpuFsa/layers/GpuFsaCast.hpp b/src/backends/gpuFsa/layers/GpuFsaCast.hpp
new file mode 100644
index 0000000..026142a
--- /dev/null
+++ b/src/backends/gpuFsa/layers/GpuFsaCast.hpp
@@ -0,0 +1,21 @@
+//
+// Copyright © 2024 Arm Ltd and Contributors. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+#pragma once
+
+#include <armnn/Descriptors.hpp>
+
+#include <gpuFsa/GpuFsaBackend.hpp>
+
+namespace armnn
+{
+
+arm_compute::Status GpuFsaCastValidate(const TensorInfo& input,
+                                       const TensorInfo& output);
+
+void GpuFsaCastCreateOp(GpuFsaPreCompiledBlob* blob,
+                        const TensorInfo& input,
+                        const TensorInfo& output);
+
+} // namespace armnn
\ No newline at end of file