diff --git a/README.md b/README.md
index a7100af133..b3749ca609 100644
--- a/README.md
+++ b/README.md
@@ -116,7 +116,7 @@ torch.jit.save(trt_ts_module, "trt_torchscript_module.ts") # save the TRT embedd
 These are the following dependencies used to verify the testcases. Torch-TensorRT can work with other versions, but the tests are not guaranteed to pass.
 
 - Bazel 6.2.1
-- Libtorch 2.1.0
+- Libtorch 2.1.1
 - CUDA 12.1
 - cuDNN 8.9.5
 - TensorRT 8.6.1
diff --git a/WORKSPACE b/WORKSPACE
index 2140deaf42..73deb8506c 100644
--- a/WORKSPACE
+++ b/WORKSPACE
@@ -54,14 +54,14 @@ http_archive(
     name = "libtorch",
     build_file = "@//third_party/libtorch:BUILD",
     strip_prefix = "libtorch",
-    urls = ["https://download.pytorch.org/libtorch/cu121/libtorch-cxx11-abi-shared-with-deps-2.1.0%2Bcu121.zip"],
+    urls = ["https://download.pytorch.org/libtorch/cu121/libtorch-cxx11-abi-shared-with-deps-2.1.1%2Bcu121.zip"],
 )
 
 http_archive(
     name = "libtorch_pre_cxx11_abi",
     build_file = "@//third_party/libtorch:BUILD",
     strip_prefix = "libtorch",
-    urls = ["https://download.pytorch.org/libtorch/cu121/libtorch-shared-with-deps-2.1.0%2Bcu121.zip"],
+    urls = ["https://download.pytorch.org/libtorch/cu121/libtorch-shared-with-deps-2.1.1%2Bcu121.zip"],
 )
 
 # Download these tarballs manually from the NVIDIA website
diff --git a/py/requirements.txt b/py/requirements.txt
index 9a6d0eb90d..45eebecff0 100644
--- a/py/requirements.txt
+++ b/py/requirements.txt
@@ -1,8 +1,8 @@
 numpy
 packaging
 pybind11==2.6.2
-torch==2.1.0
-torchvision==0.16.0
+torch==2.1.1
+torchvision==0.16.1
 --extra-index-url https://pypi.ngc.nvidia.com
 tensorrt==8.6.1
 pyyaml