diff --git a/.conda/meta.yaml b/.conda/meta.yaml
index c82b04eab6..1b6b1cf5c4 100644
--- a/.conda/meta.yaml
+++ b/.conda/meta.yaml
@@ -16,8 +16,8 @@ requirements:
     - python>=3.9
     - setuptools
   run:
-    - numpy<2.0
-    - pytorch>=1.10
+    - numpy
+    - pytorch>=2.3
     - matplotlib-base
     - tqdm
     - packaging
diff --git a/.github/workflows/test-pip-cpu.yml b/.github/workflows/test-pip-cpu.yml
index 83a513ac21..dadda6210b 100644
--- a/.github/workflows/test-pip-cpu.yml
+++ b/.github/workflows/test-pip-cpu.yml
@@ -12,30 +12,9 @@ jobs:
   tests:
     strategy:
       matrix:
-        pytorch_args: ["-v 1.10", "-v 1.11", "-v 1.12", "-v 1.13", "-v 2.0.0", "-v 2.1.0", "-v 2.2.0", "-v 2.3.0"]
+        pytorch_args: ["-v 2.3.0", "-v 2.4.0", "-v 2.5.0", "-v 2.6.0", "-v 2.7.0"]
         transformers_args: ["-t 4.38.0", "-t 4.39.0", "-t 4.41.0", "-t 4.43.0", "-t 4.45.2"]
         docker_img: ["cimg/python:3.9", "cimg/python:3.10", "cimg/python:3.11", "cimg/python:3.12"]
-        exclude:
-          - pytorch_args: "-v 1.10"
-            docker_img: "cimg/python:3.10"
-          - pytorch_args: "-v 1.10"
-            docker_img: "cimg/python:3.11"
-          - pytorch_args: "-v 1.11"
-            docker_img: "cimg/python:3.11"
-          - pytorch_args: "-v 1.12"
-            docker_img: "cimg/python:3.11"
-          - pytorch_args: "-v 1.10"
-            docker_img: "cimg/python:3.12"
-          - pytorch_args: "-v 1.11"
-            docker_img: "cimg/python:3.12"
-          - pytorch_args: "-v 1.12"
-            docker_img: "cimg/python:3.12"
-          - pytorch_args: "-v 1.13"
-            docker_img: "cimg/python:3.12"
-          - pytorch_args: "-v 2.0.0"
-            docker_img: "cimg/python:3.12"
-          - pytorch_args: "-v 2.1.0"
-            docker_img: "cimg/python:3.12"
       fail-fast: false
     uses: pytorch/test-infra/.github/workflows/linux_job.yml@main
     with:
diff --git a/README.md b/README.md
index 96439648ce..d7d87fd6dc 100644
--- a/README.md
+++ b/README.md
@@ -46,7 +46,7 @@ Captum can also be used by application engineers who are using trained models in
 
 **Installation Requirements**
 - Python >= 3.9
-- PyTorch >= 1.10
+- PyTorch >= 2.3
 
 
 ##### Installing the latest release
diff --git a/environment.yml b/environment.yml
index fc7d864223..4112558d7b 100644
--- a/environment.yml
+++ b/environment.yml
@@ -2,8 +2,8 @@ name: captum
 channels:
   - pytorch
 dependencies:
-  - numpy<2.0
-  - pytorch>=1.10
+  - numpy
+  - pytorch>=2.3
   - matplotlib-base
   - tqdm
   - packaging
diff --git a/setup.py b/setup.py
index bb11265897..4c1d93173f 100644
--- a/setup.py
+++ b/setup.py
@@ -162,9 +162,9 @@ def get_package_files(root, subdirs):
         ),
         install_requires=[
             "matplotlib",
-            "numpy<2.0",
+            "numpy",
             "packaging",
-            "torch>=1.10",
+            "torch>=2.3",
             "tqdm",
         ],
         packages=find_packages(exclude=("tests", "tests.*")),