diff --git a/.github/workflows/cron.yml b/.github/workflows/cron.yml
index e692c6eab33..88f4522b5bd 100644
--- a/.github/workflows/cron.yml
+++ b/.github/workflows/cron.yml
@@ -30,7 +30,7 @@ jobs:
             base: "nvcr.io/nvidia/pytorch:21.06-py3"  # CUDA 11.3
           - environment: PTLATEST+CUDA118
             pytorch: "-U torch torchvision --extra-index-url https://download.pytorch.org/whl/cu118"
-            base: "nvcr.io/nvidia/pytorch:22.12-py3"  # CUDA 11.8
+            base: "nvcr.io/nvidia/pytorch:23.02-py3"  # CUDA 11.8
     container:
       image: ${{ matrix.base }}
       options: "--gpus all"
@@ -39,7 +39,6 @@ jobs:
     - uses: actions/checkout@v3
     - name: apt install
       run: |
-        # FIXME: workaround for https://github.com/Project-MONAI/MONAI/issues/4200
         apt-get update
         apt-get install -y wget
     - name: Install the dependencies
@@ -77,7 +76,7 @@ jobs:
     if: github.repository == 'Project-MONAI/MONAI'
     strategy:
       matrix:
-        container: ["pytorch:22.09", "pytorch:22.11", "pytorch:22.12"]
+        container: ["pytorch:22.09", "pytorch:22.11", "pytorch:23.02"]
     container:
       image: nvcr.io/nvidia/${{ matrix.container }}-py3  # testing with the latest pytorch base image
       options: "--gpus all"
@@ -122,7 +121,7 @@ jobs:
     if: github.repository == 'Project-MONAI/MONAI'
     strategy:
       matrix:
-        container: ["pytorch:22.09", "pytorch:22.11", "pytorch:22.12"]
+        container: ["pytorch:22.09", "pytorch:22.11", "pytorch:23.02"]
     container:
       image: nvcr.io/nvidia/${{ matrix.container }}-py3  # testing with the latest pytorch base image
       options: "--gpus all"
@@ -222,7 +221,7 @@ jobs:
     if: github.repository == 'Project-MONAI/MONAI'
     needs: cron-gpu  # so that monai itself is verified first
     container:
-      image: nvcr.io/nvidia/pytorch:22.12-py3  # testing with the latest pytorch base image
+      image: nvcr.io/nvidia/pytorch:23.02-py3  # testing with the latest pytorch base image
       options: "--gpus all --ipc=host"
     runs-on: [self-hosted, linux, x64, integration]
     steps:
diff --git a/.github/workflows/pythonapp-gpu.yml b/.github/workflows/pythonapp-gpu.yml
index 589631d2e47..acbd6c648de 100644
--- a/.github/workflows/pythonapp-gpu.yml
+++ b/.github/workflows/pythonapp-gpu.yml
@@ -41,6 +41,10 @@ jobs:
           - environment: PT113+CUDA116
             pytorch: "torch==1.13.1 torchvision==0.14.1"
             base: "nvcr.io/nvidia/cuda:11.6.1-devel-ubuntu18.04"
+          - environment: PT114+CUDA120DOCKER
+            # 23.02: 1.14.0a0+44dac51
+            pytorch: "-h"  # we explicitly set pytorch to -h to avoid pip install error
+            base: "nvcr.io/nvidia/pytorch:23.02-py3"
     container:
       image: ${{ matrix.base }}
       options: --gpus all --env NVIDIA_DISABLE_REQUIRE=true  # workaround for unsatisfied condition: cuda>=11.6
diff --git a/.readthedocs.yml b/.readthedocs.yml
index fd21323127d..23277a5360b 100644
--- a/.readthedocs.yml
+++ b/.readthedocs.yml
@@ -18,7 +18,7 @@ sphinx:
 
 # Optionally set the version of Python and requirements required to build your docs
 python:
-  version: 3.8
+  version: 3
   install:
     - requirements: docs/requirements.txt
 #  system_packages: true
diff --git a/Dockerfile b/Dockerfile
index 9ce222fd151..9bc0eee70cf 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -11,7 +11,7 @@
 
 # To build with a different base image
 # please run `docker build` using the `--build-arg PYTORCH_IMAGE=...` flag.
-ARG PYTORCH_IMAGE=nvcr.io/nvidia/pytorch:22.12-py3
+ARG PYTORCH_IMAGE=nvcr.io/nvidia/pytorch:23.02-py3
 FROM ${PYTORCH_IMAGE}
 
 LABEL maintainer="monai.contact@gmail.com"
diff --git a/tests/test_dynunet.py b/tests/test_dynunet.py
index 68694d89833..c31ebeb8f90 100644
--- a/tests/test_dynunet.py
+++ b/tests/test_dynunet.py
@@ -124,7 +124,7 @@ def test_script(self):
 
 # @skip_if_no_cuda
 # @skip_if_windows
-@unittest.skip("temporary skip for 22.12")
+@unittest.skip("temporary skip for 22.12/23.02")
 class TestDynUNetWithInstanceNorm3dNVFuser(unittest.TestCase):
     @parameterized.expand([TEST_CASE_DYNUNET_3D[0]])
     def test_consistency(self, input_param, input_shape, _):