diff --git a/onnxruntime/core/providers/nv_tensorrt_rtx/nv_execution_provider.cc b/onnxruntime/core/providers/nv_tensorrt_rtx/nv_execution_provider.cc
index 250ee4ea6ea67..a07fa5b5ab395 100644
--- a/onnxruntime/core/providers/nv_tensorrt_rtx/nv_execution_provider.cc
+++ b/onnxruntime/core/providers/nv_tensorrt_rtx/nv_execution_provider.cc
@@ -1778,7 +1778,12 @@ SubGraphCollection_t NvExecutionProvider::GetSupportedList(SubGraphCollection_t
         SubGraphCollection_t parser_nodes_list;
         TensorrtLogger& trt_logger = GetTensorrtLogger(detailed_build_log_);
         auto trt_builder = GetBuilder(trt_logger);
+#if TRT_MAJOR_RTX >= 2 || (TRT_MAJOR_RTX == 1 && ((TRT_MINOR_RTX == 5 && TRT_BUILD_RTX >= 97) || TRT_MINOR_RTX >= 6))
+        // kSTRONGLY_TYPED == 0 => bit flag value is 1U. Use literal to avoid deprecated-enum warning (deprecated since 1.5.0.97).
+        constexpr uint32_t network_flags = 1U;
+#else
         auto network_flags = 1U << static_cast<uint32_t>(nvinfer1::NetworkDefinitionCreationFlag::kSTRONGLY_TYPED);
+#endif
         auto trt_network = std::unique_ptr<nvinfer1::INetworkDefinition>(trt_builder->createNetworkV2(network_flags));
 
         bool is_model_supported = false;
@@ -2713,7 +2718,12 @@ Status NvExecutionProvider::CreateNodeComputeInfoFromGraph(const GraphViewer& gr
 
   TensorrtLogger& trt_logger = GetTensorrtLogger(detailed_build_log_);
   auto trt_builder = GetBuilder(trt_logger);
+#if TRT_MAJOR_RTX >= 2 || (TRT_MAJOR_RTX == 1 && ((TRT_MINOR_RTX == 5 && TRT_BUILD_RTX >= 97) || TRT_MINOR_RTX >= 6))
+  // kSTRONGLY_TYPED == 0 => bit flag value is 1U. Use literal to avoid deprecated-enum warning (deprecated since 1.5.0.97).
+  constexpr uint32_t network_flags = 1U;
+#else
   auto network_flags = 1U << static_cast<uint32_t>(nvinfer1::NetworkDefinitionCreationFlag::kSTRONGLY_TYPED);
+#endif
   auto trt_network = std::unique_ptr<nvinfer1::INetworkDefinition>(trt_builder->createNetworkV2(network_flags));
   auto trt_config = std::unique_ptr<nvinfer1::IBuilderConfig>(trt_builder->createBuilderConfig());
   auto trt_parser = tensorrt_ptr::unique_pointer<nvonnxparser::IParser>(nvonnxparser::createParser(*trt_network, trt_logger));
diff --git a/onnxruntime/core/providers/nv_tensorrt_rtx/nv_execution_provider.h b/onnxruntime/core/providers/nv_tensorrt_rtx/nv_execution_provider.h
index c567c220b3ce7..a436f2f424947 100644
--- a/onnxruntime/core/providers/nv_tensorrt_rtx/nv_execution_provider.h
+++ b/onnxruntime/core/providers/nv_tensorrt_rtx/nv_execution_provider.h
@@ -4,6 +4,8 @@
 
 #pragma once
 #include <ctime>
+#include <utility>
+#include <vector>
 #ifndef USE_CUDA_MINIMAL
 #include <cudnn.h>
 #else
@@ -136,6 +138,13 @@ class OutputAllocator : public nvinfer1::IOutputAllocator {
  */
 using ShapeRangesMap = std::unordered_map<std::string, std::unordered_map<size_t, std::vector<std::vector<int64_t>>>>;
 
+// SubGraph_t and SubGraphCollection_t were defined in NvOnnxParser.h up to TRT-RTX 1.5.x
+// but removed in 1.6.0. Define them here for 1.6+ so the provider owns these ORT-internal types.
+#if TRT_MINOR_RTX >= 6
+using SubGraph_t = std::pair<std::vector<size_t>, bool>;
+using SubGraphCollection_t = std::vector<SubGraph_t>;
+#endif
+
 /**
  * @brief Container for tensor data and their shape.
  *
diff --git a/onnxruntime/core/providers/nv_tensorrt_rtx/nv_execution_provider_custom_ops.cc b/onnxruntime/core/providers/nv_tensorrt_rtx/nv_execution_provider_custom_ops.cc
index a7c37cd481894..78f62e14d4aa2 100644
--- a/onnxruntime/core/providers/nv_tensorrt_rtx/nv_execution_provider_custom_ops.cc
+++ b/onnxruntime/core/providers/nv_tensorrt_rtx/nv_execution_provider_custom_ops.cc
@@ -116,12 +116,16 @@ common::Status CreateTensorRTCustomOpDomainList(std::vector<OrtCustomOpDomain*>&
     LOGS_DEFAULT(INFO) << "[NvTensorRTRTX EP] Default plugin library is not on the path and is therefore ignored";
   }
   try {
-    int num_plugin_creator = 0;
-    auto plugin_creators = getPluginRegistry()->getPluginCreatorList(&num_plugin_creator);
+    // getAllCreators() is the TRT 10+ replacement for the removed getPluginCreatorList().
+    // It returns IPluginCreatorInterface* const*; cast each entry to the deprecated-but-present
+    // IPluginCreator* to access getPluginName()/getPluginVersion().
+    int32_t num_plugin_creator = 0;
+    auto plugin_creators = getPluginRegistry()->getAllCreators(&num_plugin_creator);
     std::unordered_set<std::string> registered_plugin_names;
 
-    for (int i = 0; i < num_plugin_creator; i++) {
-      auto plugin_creator = plugin_creators[i];
+    for (int32_t i = 0; i < num_plugin_creator; i++) {
+      auto* plugin_creator = dynamic_cast<nvinfer1::IPluginCreator*>(plugin_creators[i]);
+      if (!plugin_creator) continue;  // skip IPluginCreatorV3One entries that lack these accessors
       std::string plugin_name(plugin_creator->getPluginName());
       LOGS_DEFAULT(VERBOSE) << "[NvTensorRTRTX EP] " << plugin_name << ", version : " << plugin_creator->getPluginVersion();
 
diff --git a/onnxruntime/test/providers/nv_tensorrt_rtx/test_nv_trt_rtx_ep_util.cc b/onnxruntime/test/providers/nv_tensorrt_rtx/test_nv_trt_rtx_ep_util.cc
index d65e62a9f8ad1..c86cf382d4653 100644
--- a/onnxruntime/test/providers/nv_tensorrt_rtx/test_nv_trt_rtx_ep_util.cc
+++ b/onnxruntime/test/providers/nv_tensorrt_rtx/test_nv_trt_rtx_ep_util.cc
@@ -158,12 +158,12 @@ ONNX_NAMESPACE::TensorProto CreateLargeWeight(
     std::vector<float> data(total_size);
     std::normal_distribution<float> dist(0.0f, scale);
     for (auto& v : data) v = dist(rng);
-    onnxruntime::utils::SetRawDataInTensorProto(tensor, data.data(), total_size * sizeof(float));
+    tensor.set_raw_data(data.data(), total_size * sizeof(float));
   } else if (dtype == ONNX_NAMESPACE::TensorProto_DataType_FLOAT16) {
     std::vector<MLFloat16> data(total_size);
     std::normal_distribution<float> dist(0.0f, scale);
     for (auto& v : data) v = MLFloat16(dist(rng));
-    onnxruntime::utils::SetRawDataInTensorProto(tensor, data.data(), total_size * sizeof(MLFloat16));
+    tensor.set_raw_data(data.data(), total_size * sizeof(MLFloat16));
   } else {
     throw std::runtime_error("Unsupported data type for large weight");
   }
@@ -582,7 +582,7 @@ void CreateFP8CustomOpModel(const PathString& model_name, const std::string& gra
   scale_initializer.set_data_type(ONNX_NAMESPACE::TensorProto_DataType_FLOAT16);
   // For FLOAT16, we need to convert the float value to MLFloat16 and store as raw data
   MLFloat16 scale_value(0.0078125f);
-  onnxruntime::utils::SetRawDataInTensorProto(scale_initializer, &scale_value, sizeof(MLFloat16));
+  scale_initializer.set_raw_data(&scale_value, sizeof(MLFloat16));
   graph.AddInitializedTensor(scale_initializer);
 
   // Get the scale node arg
@@ -697,7 +697,7 @@ void CreateFP4CustomOpModel(const PathString& model_name, const std::string& gra
   scale_initializer.set_name("scale");
   scale_initializer.set_data_type(ONNX_NAMESPACE::TensorProto_DataType_FLOAT16);
   MLFloat16 scale_value(0.1234f);
-  onnxruntime::utils::SetRawDataInTensorProto(scale_initializer, &scale_value, sizeof(MLFloat16));
+  scale_initializer.set_raw_data(&scale_value, sizeof(MLFloat16));
   graph.AddInitializedTensor(scale_initializer);
   auto* scale_arg = graph.GetNodeArg("scale");
 
@@ -756,7 +756,7 @@ void CreateFP4CustomOpModel(const PathString& model_name, const std::string& gra
   dequant_scale_initializer.set_name("dequant_scale");
   dequant_scale_initializer.set_data_type(ONNX_NAMESPACE::TensorProto_DataType_FLOAT16);
   MLFloat16 dequant_scale_value(0.0625f);
-  onnxruntime::utils::SetRawDataInTensorProto(dequant_scale_initializer, &dequant_scale_value, sizeof(MLFloat16));
+  dequant_scale_initializer.set_raw_data(&dequant_scale_value, sizeof(MLFloat16));
   graph.AddInitializedTensor(dequant_scale_initializer);
 
   // Get the dequant_scale node arg