diff --git a/.ci/docker/ci_commit_pins/pytorch.txt b/.ci/docker/ci_commit_pins/pytorch.txt
index 9182b03d389..2c2d910da92 100644
--- a/.ci/docker/ci_commit_pins/pytorch.txt
+++ b/.ci/docker/ci_commit_pins/pytorch.txt
@@ -1 +1 @@
-0a94bb432ed75cc2d950d81b2921363218a7e459
+27e35de6c288bffad1b4d18b393579c1d1a95547
diff --git a/.ci/docker/conda-env-ci.txt b/.ci/docker/conda-env-ci.txt
index 8f2e65dae79..c675b3d9f6e 100644
--- a/.ci/docker/conda-env-ci.txt
+++ b/.ci/docker/conda-env-ci.txt
@@ -1,4 +1,5 @@
 cmake=3.22.1
 ninja=1.10.2
 libuv
+llvm-openmp
 pkg-config
diff --git a/.ci/scripts/setup-macos.sh b/.ci/scripts/setup-macos.sh
index 395f0c1767e..75f999af410 100755
--- a/.ci/scripts/setup-macos.sh
+++ b/.ci/scripts/setup-macos.sh
@@ -121,6 +121,7 @@ setup_macos_env_variables
 # NB: we need buck2 in all cases because cmake build also depends on calling
 # buck2 atm
 install_buck
+brew install libomp
 install_pip_dependencies
 
 # TODO(huydhn): Unlike our self-hosted runner, GitHub runner doesn't have access
diff --git a/install_requirements.py b/install_requirements.py
index c634e483945..e0e9629db78 100644
--- a/install_requirements.py
+++ b/install_requirements.py
@@ -67,7 +67,7 @@ def python_is_compatible():
 # NOTE: If a newly-fetched version of the executorch repo changes the value of
 # NIGHTLY_VERSION, you should re-run this script to install the necessary
 # package versions.
-NIGHTLY_VERSION = "dev20250104"
+NIGHTLY_VERSION = "dev20250131"
 
 
 def install_requirements(use_pytorch_nightly):
@@ -76,7 +76,7 @@ def install_requirements(use_pytorch_nightly):
         # Setting use_pytorch_nightly to false to test the pinned PyTorch commit. Note
         # that we don't need to set any version number there because they have already
         # been installed on CI before this step, so pip won't reinstall them
-        f"torch==2.6.0.{NIGHTLY_VERSION}" if use_pytorch_nightly else "torch",
+        f"torch==2.7.0.{NIGHTLY_VERSION}" if use_pytorch_nightly else "torch",
         (
             f"torchvision==0.22.0.{NIGHTLY_VERSION}"
             if use_pytorch_nightly