diff --git a/tests/ttnn/unit_tests/operations/test_creation.py b/tests/ttnn/unit_tests/operations/test_creation.py
index 1aff7f0e63e..eba32c081e7 100644
--- a/tests/ttnn/unit_tests/operations/test_creation.py
+++ b/tests/ttnn/unit_tests/operations/test_creation.py
@@ -138,6 +138,39 @@ def test_full(device, input_shape, fill_value):
     assert torch.allclose(torch_tensor, tensor)
 
 
+@pytest.mark.parametrize(
+    "input_shape",
+    [
+        [32, 32],
+        [5, 96, 64],
+    ],
+)
+@pytest.mark.parametrize(
+    "fill_value",
+    [-5.25, 0, 2.5, 9],
+)
+@pytest.mark.parametrize(
+    "layout",
+    [ttnn.Layout.ROW_MAJOR, ttnn.Layout.TILE],
+)
+def test_full_with_opt_tensor(device, input_shape, layout, fill_value):
+    torch_tensor = torch.full(input_shape, dtype=torch.bfloat16, fill_value=fill_value)
+    opt_tensor = torch.ones(input_shape, dtype=torch.bfloat16)
+    opt_tensor = ttnn.from_torch(
+        opt_tensor, ttnn.bfloat16, layout=layout, device=device, memory_config=ttnn.L1_MEMORY_CONFIG
+    )
+
+    cq_id = 0
+    pages_before = ttnn._ttnn.reports.get_buffer_pages()
+    ttnn.full(input_shape, device=device, fill_value=fill_value, optional_tensor=opt_tensor, queue_id=cq_id)
+    assert len(pages_before) == len(ttnn._ttnn.reports.get_buffer_pages())
+    assert ttnn.is_tensor_storage_on_device(opt_tensor)
+    opt_tensor = ttnn.to_torch(opt_tensor)
+
+    assert_with_pcc(torch_tensor, opt_tensor, 0.9999)
+    assert torch.allclose(torch_tensor, opt_tensor)
+
+
 @pytest.mark.parametrize(
     "start",
     [4, 8, 16, 32],
diff --git a/ttnn/cpp/pybind11/operations/creation.hpp b/ttnn/cpp/pybind11/operations/creation.hpp
index 28679099f44..6feabd48a74 100644
--- a/ttnn/cpp/pybind11/operations/creation.hpp
+++ b/ttnn/cpp/pybind11/operations/creation.hpp
@@ -35,15 +35,19 @@ void bind_full_operation(py::module& module, const creation_operation_t& operati
                const std::optional<DataType>& dtype,
                const std::optional<Layout>& layout,
                const std::optional<std::reference_wrapper<Device>>& device,
-               const std::optional<MemoryConfig>& memory_config) -> ttnn::Tensor {
-                return self(ttnn::Shape{tt::tt_metal::Shape{shape}}, fill_value, dtype, layout, device, memory_config);
+               const std::optional<MemoryConfig>& memory_config,
+               std::optional<ttnn::Tensor> &optional_output_tensor,
+               uint8_t queue_id) -> ttnn::Tensor {
+                return self(queue_id, ttnn::Shape{tt::tt_metal::Shape{shape}}, fill_value, dtype, layout, device, memory_config, optional_output_tensor);
             },
             py::arg("shape"),
             py::arg("fill_value"),
             py::arg("dtype") = std::nullopt,
             py::arg("layout") = std::nullopt,
             py::arg("device") = std::nullopt,
-            py::arg("memory_config") = std::nullopt},
+            py::arg("memory_config") = std::nullopt,
+            py::arg("optional_tensor") = std::nullopt,
+            py::arg("queue_id") = ttnn::DefaultQueueId},
         ttnn::pybind_overload_t{
             [](const creation_operation_t& self,
                const std::vector<uint32_t>& shape,
@@ -51,15 +55,19 @@ void bind_full_operation(py::module& module, const creation_operation_t& operati
                const std::optional<DataType>& dtype,
                const std::optional<Layout>& layout,
                const std::optional<std::reference_wrapper<Device>>& device,
-               const std::optional<MemoryConfig>& memory_config) -> ttnn::Tensor {
-                return self(ttnn::Shape{tt::tt_metal::Shape{shape}}, fill_value, dtype, layout, device, memory_config);
+               const std::optional<MemoryConfig>& memory_config,
+               std::optional<ttnn::Tensor> &optional_output_tensor,
+               uint8_t queue_id) -> ttnn::Tensor {
+                return self(queue_id, ttnn::Shape{tt::tt_metal::Shape{shape}}, fill_value, dtype, layout, device, memory_config, optional_output_tensor);
             },
             py::arg("shape"),
             py::arg("fill_value"),
             py::arg("dtype") = std::nullopt,
             py::arg("layout") = std::nullopt,
             py::arg("device") = std::nullopt,
-            py::arg("memory_config") = std::nullopt});
+            py::arg("memory_config") = std::nullopt,
+            py::arg("optional_tensor") = std::nullopt,
+            py::arg("queue_id") = ttnn::DefaultQueueId});
 }
 
 template <typename creation_operation_t>
diff --git a/ttnn/cpp/ttnn/deprecated/tt_numpy/functions.hpp b/ttnn/cpp/ttnn/deprecated/tt_numpy/functions.hpp
index a95a2dac252..3ba2b7f6bf2 100644
--- a/ttnn/cpp/ttnn/deprecated/tt_numpy/functions.hpp
+++ b/ttnn/cpp/ttnn/deprecated/tt_numpy/functions.hpp
@@ -13,6 +13,7 @@
 #include <ttnn/tensor/tensor_utils.hpp>
 #include <ttnn/tensor/types.hpp>
 #include <ttnn/tensor/tensor_impl.hpp>
+#include "ttnn/cpp/ttnn/common/constants.hpp"
 
 namespace tt {
 
@@ -49,12 +50,14 @@ constexpr static DataType get_data_type() {
 
 template <typename T>
 static Tensor full(
+    uint8_t queue_id,
     const Shape& shape,
     T value,
     const Layout layout = Layout::ROW_MAJOR,
     Device* device = nullptr,
     const MemoryConfig& output_mem_config = MemoryConfig{
-        .memory_layout = tt::tt_metal::TensorMemoryLayout::INTERLEAVED}) {
+        .memory_layout = tt::tt_metal::TensorMemoryLayout::INTERLEAVED},
+    std::optional<Tensor> optional_output_tensor = std::nullopt) {
     if (layout == Layout::TILE) {
         if (shape.rank() < 2) {
             TT_THROW("TILE layout requires rank >= 2");
@@ -69,48 +72,83 @@ static Tensor full(
             tt::constants::TILE_HEIGHT);
     }
 
-    constexpr DataType data_type = detail::get_data_type<T>();
-    auto owned_buffer = tt_metal::owned_buffer::create<T>(tt_metal::compute_volume(shape));
-    std::fill(std::begin(owned_buffer), std::end(owned_buffer), value);
-    auto output = Tensor(OwnedStorage{owned_buffer}, shape, data_type, layout);
-    if (device != nullptr) {
-        output = output.to(device, output_mem_config);
-    }
-    return output;
+        constexpr DataType data_type = detail::get_data_type<T>();
+        auto owned_buffer = tt_metal::owned_buffer::create<T>(tt_metal::compute_volume(shape));
+        std::fill(std::begin(owned_buffer), std::end(owned_buffer), value);
+
+        if(!optional_output_tensor.has_value()){
+            auto output = Tensor(OwnedStorage{owned_buffer}, shape, data_type, layout);
+            if (device != nullptr) {
+                output = output.to(device, output_mem_config);
+            }
+            return output;
+        }
+        else {
+            auto device_buffer = std::get<DeviceStorage>(optional_output_tensor.value().tensor_attributes->storage).get_buffer();
+            bool using_fast_dispatch = (std::getenv("TT_METAL_SLOW_DISPATCH_MODE") == nullptr);
+
+            if (using_fast_dispatch && device != nullptr) {
+                auto& cmd_queue = device->command_queue(queue_id);
+                if (CommandQueue::default_mode() == CommandQueue::CommandQueueMode::ASYNC) {
+                    tt::tt_metal::EnqueueWriteBuffer(cmd_queue, device_buffer, owned_buffer.get_ptr(), false);
+                } else {
+                    tt::tt_metal::EnqueueWriteBuffer(cmd_queue, device_buffer, owned_buffer.data(), false);
+                }
+            } else {
+                auto uint32_data = tt::tt_metal::tensor_impl::pack_vec_into_uint32_vec<T>(owned_buffer);
+                tt::tt_metal::detail::WriteToBuffer(*device_buffer, uint32_data);
+            }
+
+            return optional_output_tensor.value();
+        }
 }
 
 }  // namespace detail
 
 template <typename T>
-static Tensor full(
+static Tensor full_impl(
+    uint8_t queue_id,
     const Shape& shape,
     const T value,
     const DataType data_type,
     const Layout layout = Layout::ROW_MAJOR,
     Device* device = nullptr,
     const MemoryConfig& output_mem_config = MemoryConfig{
-        .memory_layout = tt::tt_metal::TensorMemoryLayout::INTERLEAVED}) {
+        .memory_layout = tt::tt_metal::TensorMemoryLayout::INTERLEAVED},
+    std::optional<Tensor> optional_output_tensor = std::nullopt) {
     switch (data_type) {
         case DataType::UINT8: {
-            return detail::full<uint8_t>(shape, uint8_t(value), layout, device, output_mem_config);
+            return detail::full<uint8_t>(queue_id, shape, uint8_t(value), layout, device, output_mem_config, optional_output_tensor);
         }
         case DataType::UINT16: {
-            return detail::full<uint16_t>(shape, uint16_t(value), layout, device, output_mem_config);
+            return detail::full<uint16_t>(queue_id, shape, uint16_t(value), layout, device, output_mem_config, optional_output_tensor);
         }
         case DataType::UINT32: {
-            return detail::full<uint32_t>(shape, uint32_t(value), layout, device, output_mem_config);
+            return detail::full<uint32_t>(queue_id, shape, uint32_t(value), layout, device, output_mem_config, optional_output_tensor);
         }
         case DataType::FLOAT32: {
-            return detail::full<float>(shape, float(value), layout, device, output_mem_config);
+            return detail::full<float>(queue_id, shape, float(value), layout, device, output_mem_config, optional_output_tensor);
         }
         case DataType::BFLOAT16: {
             return detail::full<bfloat16>(
-                shape, bfloat16(static_cast<float>(value)), layout, device, output_mem_config);
+                queue_id, shape, bfloat16(static_cast<float>(value)), layout, device, output_mem_config, optional_output_tensor);
         }
         default: TT_THROW("Unsupported DataType!");
     }
 }
 
+template <typename T>
+static Tensor full(
+    const Shape& shape,
+    const T value,
+    const DataType data_type,
+    const Layout layout = Layout::ROW_MAJOR,
+    Device* device = nullptr,
+    const MemoryConfig& output_mem_config = MemoryConfig{
+        .memory_layout = tt::tt_metal::TensorMemoryLayout::INTERLEAVED}) {
+    return full_impl(ttnn::DefaultQueueId, shape, value, data_type, layout, device, output_mem_config, std::nullopt);
+}
+
 static Tensor zeros(
     const Shape& shape,
     const DataType data_type = DataType::BFLOAT16,
diff --git a/ttnn/cpp/ttnn/operations/creation.hpp b/ttnn/cpp/ttnn/operations/creation.hpp
index 51873b35080..25f98c42c67 100644
--- a/ttnn/cpp/ttnn/operations/creation.hpp
+++ b/ttnn/cpp/ttnn/operations/creation.hpp
@@ -12,6 +12,7 @@
 #include "ttnn/core.hpp"
 #include "ttnn/decorators.hpp"
 #include "ttnn/types.hpp"
+#include "ttnn/common/constants.hpp"
 
 namespace ttnn {
 namespace operations {
@@ -55,21 +56,42 @@ Tensor create_scalar(T scalar, DataType data_type, Layout layout, Device* device
 }
 
 template <typename T>
-inline ttnn::Tensor full(
+inline ttnn::Tensor full_impl(
+    uint8_t queue_id,
     const ttnn::Shape& shape,
     const T fill_value,
     const std::optional<DataType>& dtype = std::nullopt,
     const std::optional<Layout>& layout = std::nullopt,
     const std::optional<std::reference_wrapper<Device>>& device_arg = std::nullopt,
-    const std::optional<MemoryConfig>& memory_config = std::nullopt) {
-    Device* device = device_arg.has_value() ? &(device_arg.value().get()) : nullptr;
-    return tt::numpy::full(
-        shape.value,
+    const std::optional<MemoryConfig>& memory_config = std::nullopt,
+    std::optional<ttnn::Tensor> optional_output_tensor = std::nullopt) {
+    Device* device = optional_output_tensor.has_value() ? optional_output_tensor.value().device() : device_arg.has_value() ? &(device_arg.value().get()) : nullptr;
+    Layout layout_value = optional_output_tensor.has_value() ? optional_output_tensor.value().get_layout() : layout.value_or(ttnn::ROW_MAJOR_LAYOUT);
+    DataType dtype_value = optional_output_tensor.has_value() ? optional_output_tensor.value().get_dtype() : dtype.value_or(ttnn::bfloat16);
+    tt::tt_metal::Shape shape_value = optional_output_tensor.has_value() ? optional_output_tensor.value().get_legacy_shape() : shape.value;
+    MemoryConfig mem_cfg = optional_output_tensor.has_value() ? optional_output_tensor.value().memory_config() : memory_config.value_or(ttnn::DRAM_MEMORY_CONFIG);
+    return tt::numpy::full_impl(
+        queue_id,
+        shape_value,
         fill_value,
-        dtype.value_or(ttnn::bfloat16),
-        layout.value_or(ttnn::ROW_MAJOR_LAYOUT),
+        dtype_value,
+        layout_value,
         device,
-        memory_config.value_or(ttnn::DRAM_MEMORY_CONFIG));
+        mem_cfg,
+        optional_output_tensor);
+}
+
+template <typename T>
+inline ttnn::Tensor full(
+    const ttnn::Shape& shape,
+    const T fill_value,
+    const std::optional<DataType>& dtype = std::nullopt,
+    const std::optional<Layout>& layout = std::nullopt,
+    const std::optional<std::reference_wrapper<Device>>& device_arg = std::nullopt,
+    const std::optional<MemoryConfig>& memory_config = std::nullopt,
+    std::optional<ttnn::Tensor> optional_output_tensor = std::nullopt,
+    uint8_t queue_id = ttnn::DefaultQueueId) {
+    return full_impl(queue_id, shape, fill_value, dtype, layout, device_arg, memory_config, optional_output_tensor);
 }
 
 namespace detail {
@@ -159,23 +181,49 @@ inline constexpr EmptyLike empty_like{};
 
 struct Full {
     static ttnn::Tensor invoke(
+        uint8_t queue_id,
         const ttnn::Shape& shape,
         const float fill_value,
         const std::optional<DataType>& dtype = std::nullopt,
         const std::optional<Layout>& layout = std::nullopt,
         const std::optional<std::reference_wrapper<Device>>& device = std::nullopt,
-        const std::optional<MemoryConfig>& memory_config = std::nullopt) {
-        return full(shape, fill_value, dtype, layout, device, memory_config);
+        const std::optional<MemoryConfig>& memory_config = std::nullopt,
+        std::optional<ttnn::Tensor> optional_output_tensor = std::nullopt) {
+        return full_impl(queue_id, shape, fill_value, dtype, layout, device, memory_config, optional_output_tensor);
     }
 
     static ttnn::Tensor invoke(
+        uint8_t queue_id,
         const ttnn::Shape& shape,
         const int fill_value,
         const std::optional<DataType>& dtype = std::nullopt,
         const std::optional<Layout>& layout = std::nullopt,
         const std::optional<std::reference_wrapper<Device>>& device = std::nullopt,
-        const std::optional<MemoryConfig>& memory_config = std::nullopt) {
-        return full(shape, fill_value, dtype, layout, device, memory_config);
+        const std::optional<MemoryConfig>& memory_config = std::nullopt,
+        std::optional<ttnn::Tensor> optional_output_tensor = std::nullopt) {
+        return full_impl(queue_id, shape, fill_value, dtype, layout, device, memory_config, optional_output_tensor);
+    }
+
+    static ttnn::Tensor invoke(
+        const ttnn::Shape& shape,
+        const float fill_value,
+        const std::optional<DataType>& dtype = std::nullopt,
+        const std::optional<Layout>& layout = std::nullopt,
+        const std::optional<std::reference_wrapper<Device>>& device = std::nullopt,
+        const std::optional<MemoryConfig>& memory_config = std::nullopt,
+        std::optional<ttnn::Tensor> optional_output_tensor = std::nullopt) {
+        return full_impl(ttnn::DefaultQueueId, shape, fill_value, dtype, layout, device, memory_config, optional_output_tensor);
+    }
+
+    static ttnn::Tensor invoke(
+        const ttnn::Shape& shape,
+        const int fill_value,
+        const std::optional<DataType>& dtype = std::nullopt,
+        const std::optional<Layout>& layout = std::nullopt,
+        const std::optional<std::reference_wrapper<Device>>& device = std::nullopt,
+        const std::optional<MemoryConfig>& memory_config = std::nullopt,
+        std::optional<ttnn::Tensor> optional_output_tensor = std::nullopt) {
+        return full_impl(ttnn::DefaultQueueId, shape, fill_value, dtype, layout, device, memory_config, optional_output_tensor);
     }
 };