diff --git a/paddle/fluid/inference/tensorrt/engine.cc b/paddle/fluid/inference/tensorrt/engine.cc
index c6c0d0479c9e5fc2c9139457fee43d0206c2af0d..0b3c099934c5714aaa90e8335484da4070983ce3 100644
--- a/paddle/fluid/inference/tensorrt/engine.cc
+++ b/paddle/fluid/inference/tensorrt/engine.cc
@@ -150,8 +150,12 @@ void TensorRTEngine::FreezeNetwork() {
                               "Call InitNetwork first to initialize network."));
   // build engine.
   infer_builder_->setMaxBatchSize(max_batch_);
+#if IS_TRT_VERSION_GE(8300)
+  infer_builder_config_->setMemoryPoolLimit(
+      nvinfer1::MemoryPoolType::kWORKSPACE, max_workspace_);
+#else
   infer_builder_config_->setMaxWorkspaceSize(max_workspace_);
-
+#endif
   bool enable_fp16 = (precision_ == AnalysisConfig::Precision::kHalf);
   if (enable_fp16) {
     bool support_fp16 = infer_builder_->platformHasFastFp16();
diff --git a/paddle/fluid/inference/tensorrt/test_tensorrt.cc b/paddle/fluid/inference/tensorrt/test_tensorrt.cc
index 4a8bcb2565615eb7e63f2aa1e436acf98f475a15..571a2b56c56a385001e79f080d49c909903873ed 100644
--- a/paddle/fluid/inference/tensorrt/test_tensorrt.cc
+++ b/paddle/fluid/inference/tensorrt/test_tensorrt.cc
@@ -95,7 +95,11 @@ nvinfer1::IHostMemory* CreateNetwork() {
   network->markOutput(*output);
   // Build the engine.
   builder->setMaxBatchSize(1);
+#if IS_TRT_VERSION_GE(8300)
+  config->setMemoryPoolLimit(nvinfer1::MemoryPoolType::kWORKSPACE, 1 << 10);
+#else
   config->setMaxWorkspaceSize(1 << 10);
+#endif
   auto engine = builder->buildEngineWithConfig(*network, *config);
   EXPECT_NE(engine, nullptr);
   // Serialize the engine to create a model, then close.