diff --git a/.conda/meta.yaml b/.conda/meta.yaml
index 5217866af7..72bdb990bb 100644
--- a/.conda/meta.yaml
+++ b/.conda/meta.yaml
@@ -13,7 +13,7 @@ build:
 
 requirements:
   host:
-    - python>=3.8
+    - python>=3.9
   run:
     - numpy<2.0
     - pytorch>=1.10
diff --git a/.github/workflows/test-conda-cpu.yml b/.github/workflows/test-conda-cpu.yml
index 3295edcca8..e0da5e42e3 100644
--- a/.github/workflows/test-conda-cpu.yml
+++ b/.github/workflows/test-conda-cpu.yml
@@ -15,7 +15,7 @@ jobs:
   tests:
     strategy:
       matrix:
-        python_version: ["3.8", "3.9", "3.10", "3.11"]
+        python_version: ["3.9", "3.10", "3.11", "3.12"]
       fail-fast: false
     uses: pytorch/test-infra/.github/workflows/linux_job.yml@main
     with:
@@ -28,7 +28,7 @@ jobs:
         # Create Conda Env
         conda create -yp ci_env python="${PYTHON_VERSION}"
         conda activate /pytorch/captum/ci_env
-        ./scripts/install_via_conda.sh -n
+        ./scripts/install_via_conda.sh
 
         # Run Tests
         python3 -m pytest -ra --cov=. --cov-report term-missing
diff --git a/.github/workflows/test-pip-cpu.yml b/.github/workflows/test-pip-cpu.yml
index a83f18e05d..83a513ac21 100644
--- a/.github/workflows/test-pip-cpu.yml
+++ b/.github/workflows/test-pip-cpu.yml
@@ -14,7 +14,7 @@ jobs:
       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"]
         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:3.8", "cimg/python:3.9", "cimg/python:3.10", "cimg/python:3.11"]
+        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"
@@ -24,6 +24,18 @@ jobs:
             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/CONTRIBUTING.md b/CONTRIBUTING.md
index 4342e18ec4..3cdca2e4f4 100644
--- a/CONTRIBUTING.md
+++ b/CONTRIBUTING.md
@@ -63,7 +63,7 @@ Then run this script from the repository root:
 ```
 Note that we expect mypy to have version 0.760 or higher, and when type checking, use PyTorch 1.4 or
 higher due to fixes to PyTorch type hints available in 1.4. We also use the Literal feature which is
-available only in Python 3.8 or above. If type-checking using a previous version of Python, you will
+available only in Python 3.9 or above. If type-checking using a previous version of Python, you will
 need to install the typing-extension package which can be done with pip using `pip install typing-extensions`.
 
 #### Unit Tests
diff --git a/README.md b/README.md
index 17e14fe6c0..be7a3db68d 100644
--- a/README.md
+++ b/README.md
@@ -47,7 +47,7 @@ Captum can also be used by application engineers who are using trained models in
 ## Installation
 
 **Installation Requirements**
-- Python >= 3.8
+- Python >= 3.9
 - PyTorch >= 1.10
 
 
diff --git a/scripts/install_via_conda.sh b/scripts/install_via_conda.sh
index ad7a786ab8..4d2912774c 100755
--- a/scripts/install_via_conda.sh
+++ b/scripts/install_via_conda.sh
@@ -2,11 +2,8 @@
 
 set -e
 
-PYTORCH_NIGHTLY=false
-
 while getopts 'nf' flag; do
   case "${flag}" in
-    n) PYTORCH_NIGHTLY=true ;;
     f) FRAMEWORKS=true ;;
     *) echo "usage: $0 [-n] [-f]" >&2
        exit 1 ;;
@@ -18,25 +15,17 @@ while getopts 'nf' flag; do
 #conda update -y -n base -c defaults conda
 conda update -q --all --yes
 
-# required to use conda develop
-conda install -q -y conda-build
-
 # install other frameworks if asked for and make sure this is before pytorch
 if [[ $FRAMEWORKS == true ]]; then
   pip install -q pytext-nlp
 fi
 
-if [[ $PYTORCH_NIGHTLY == true ]]; then
-  # install CPU version for much smaller download
-  conda install -q -y pytorch cpuonly -c pytorch-nightly
-else
- # install CPU version for much smaller download
- conda install -q -y -c pytorch pytorch-cpu
-fi
+# install CPU version for much smaller download
+conda install -q -y pytorch cpuonly -c pytorch
 
 # install other deps
-conda install -q -y pytest ipywidgets ipython scikit-learn parameterized werkzeug==2.2.2
-conda install -q -y -c conda-forge matplotlib pytest-cov flask flask-compress
+conda install -q -y pytest ipywidgets ipython scikit-learn parameterized werkzeug
+conda install -q -y -c conda-forge matplotlib pytest-cov flask flask-compress conda-build
 conda install -q -y transformers
 
 # install captum
diff --git a/setup.py b/setup.py
index d29e05b108..5effc53d72 100755
--- a/setup.py
+++ b/setup.py
@@ -16,7 +16,7 @@
 from setuptools import find_packages, setup
 
 REQUIRED_MAJOR = 3
-REQUIRED_MINOR = 8
+REQUIRED_MINOR = 9
 
 # Check for python version
 if sys.version_info < (REQUIRED_MAJOR, REQUIRED_MINOR):
@@ -148,7 +148,7 @@ def get_package_files(root, subdirs):
         ],
         long_description=long_description,
         long_description_content_type="text/markdown",
-        python_requires=">=3.8",
+        python_requires=">=3.9",
         install_requires=[
             "matplotlib",
             "numpy<2.0",