diff --git a/3.test_cases/17.SM-modelparallelv2/setup_conda_env.sh b/3.test_cases/17.SM-modelparallelv2/setup_conda_env.sh
index e22238355..c38da383d 100644
--- a/3.test_cases/17.SM-modelparallelv2/setup_conda_env.sh
+++ b/3.test_cases/17.SM-modelparallelv2/setup_conda_env.sh
@@ -1,5 +1,11 @@
-# specify which CUDA version you are using
+# specify PyTorch version
+PT_VER=2.3.1
+# specify SMP version
+SMP_VER=2.4.0
+# specify CUDA version
 SMP_CUDA_VER=12.1
+# specify Python version
+PY_VER=3.11
 
 directory="$(pwd)/miniconda3"
 
@@ -16,25 +22,25 @@ source ./miniconda3/bin/activate
 
 export ENV_PATH=./miniconda3/envs/smpv2
 
-conda create -p ${ENV_PATH} python=3.10
+conda create -p ${ENV_PATH} python=${PY_VER}
 
 conda activate ${ENV_PATH}
 
 
-# Install OFI nccl 
-conda install "aws-ofi-nccl==1.7.4" packaging --override-channels \
+# Install OFI nccl
+conda install -y "aws-ofi-nccl==1.9.1" packaging --override-channels \
   -c https://aws-ml-conda.s3.us-west-2.amazonaws.com \
   -c pytorch -c numba/label/dev \
   -c nvidia \
   -c conda-forge \
 
-conda install -c conda-forge mkl=2023.1.0
-conda install "requests==2.28.2"
-conda install "filelock==3.9.0"
-conda install "sympy==1.12"
+conda install -y -c conda-forge "mkl<=2024.0" \
+  "requests>=2.31.0" \
+  "filelock==3.9.0" \
+  "sympy==1.12"
 
-# Install SMP V2 pytorch. We will install SMP with pytorch 2.2
-conda install pytorch="2.2.0=sm_py3.10_cuda12.1_cudnn8.9.5_nccl_pt_2.2_tsm_2.3_cuda12.1_0" packaging --override-channels \
+# Install SMP V2 pytorch. We will install SMP 2.4.0 with pytorch 2.3.1
+conda install -y pytorch="${PT_VER}=sm_py${PY_VER}_cuda${SMP_CUDA_VER}_*smp_${SMP_VER}*" packaging --override-channels \
   -c https://sagemaker-distributed-model-parallel.s3.us-west-2.amazonaws.com/smp-v2/ \
   -c pytorch -c numba/label/dev \
   -c pytorch-nightly -c nvidia -c conda-forge
@@ -43,18 +49,22 @@ conda install pytorch="2.2.0=sm_py3.10_cuda12.1_cudnn8.9.5_nccl_pt_2.2_tsm_2.3_c
 # Install dependencies of the script as below
 
 python -m pip install --no-cache-dir -U \
-    "transformers==4.37.1" \
+    "transformers==4.40.1" \
     "accelerate==0.28.0" \
     "triton==2.2.0" \
     "SentencePiece==0.1.99" \
-    "datasets==2.16.1" \
+    "datasets==2.19.0" \
     "expecttest" \
     "parameterized==0.9.0" \
     "protobuf==3.20.3" \
     "pytest-repeat==0.9.1" \
     "pytest==7.4.0" \
     "tensorboard==2.13.0" \
-    "tqdm==4.65.0"
+    "tqdm==4.65.0" \
+    # setuptools==70 has some issues
+    "setuptools==69.5.1" \
+    # smpv2 is currently not compiled with numpy 2.0 support
+    "numpy<2"
 
 pip install megatron-core==0.5.0
 
@@ -64,29 +74,19 @@ MAX_JOBS=64 pip install flash-attn==2.3.3 --no-build-isolation
 
 # Install SMDDP
 
-SMDDP_WHL="smdistributed_dataparallel-2.2.0-cp310-cp310-linux_x86_64.whl" \
-  && wget -q https://smdataparallel.s3.amazonaws.com/binary/pytorch/2.2.0/cu121/2024-03-04/${SMDDP_WHL} \
+SMDDP_WHL="smdistributed_dataparallel-2.3.0-cp311-cp311-linux_x86_64.whl" \
+  && wget -q https://smdataparallel.s3.amazonaws.com/binary/pytorch/2.3.0/cu121/2024-05-23/${SMDDP_WHL} \
   && pip install --force ${SMDDP_WHL} \
   && rm ${SMDDP_WHL}
 
 
-if [ $SMP_CUDA_VER == "11.8" ]; then
-    # cuDNN installation for TransformerEngine installation for cuda11.8
-    tar xf cudnn-linux-x86_64-8.9.5.30_cuda11-archive.tar.xz \
-        && rm -rf /usr/local/cuda-$SMP_CUDA_VER/include/cudnn* /usr/local/cuda-$SMP_CUDA_VER/lib/cudnn* \
-        && cp ./cudnn-linux-x86_64-8.9.5.30_cuda11-archive/include/* /usr/local/cuda-$SMP_CUDA_VER/include/ \
-        && cp ./cudnn-linux-x86_64-8.9.5.30_cuda11-archive/lib/* /usr/local/cuda-$SMP_CUDA_VER/lib/ \
-        && rm -rf cudnn-linux-x86_64-8.9.5.30_cuda11-archive.tar.xz \
-        && rm -rf cudnn-linux-x86_64-8.9.5.30_cuda11-archive/
-else
-    # cuDNN installation for TransformerEngine installation for cuda12.1
-    tar xf cudnn-linux-x86_64-8.9.7.29_cuda12-archive.tar.xz \
-        && rm -rf /usr/local/cuda-$SMP_CUDA_VER/include/cudnn* /usr/local/cuda-$SMP_CUDA_VER/lib/cudnn* \
-        && cp ./cudnn-linux-x86_64-8.9.7.29_cuda12-archive/include/* /usr/local/cuda-$SMP_CUDA_VER/include/ \
-        && cp ./cudnn-linux-x86_64-8.9.7.29_cuda12-archive/lib/* /usr/local/cuda-$SMP_CUDA_VER/lib/ \
-        && rm -rf cudnn-linux-x86_64-8.9.7.29_cuda12-archive.tar.xz \
-        && rm -rf cudnn-linux-x86_64-8.9.7.29_cuda12-archive/
-fi
+# cuDNN installation for TransformerEngine installation for cuda12.1
+tar xf cudnn-linux-x86_64-8.9.7.29_cuda12-archive.tar.xz \
+    && rm -rf /usr/local/cuda-$SMP_CUDA_VER/include/cudnn* /usr/local/cuda-$SMP_CUDA_VER/lib/cudnn* \
+    && cp ./cudnn-linux-x86_64-8.9.7.29_cuda12-archive/include/* /usr/local/cuda-$SMP_CUDA_VER/include/ \
+    && cp ./cudnn-linux-x86_64-8.9.7.29_cuda12-archive/lib/* /usr/local/cuda-$SMP_CUDA_VER/lib/ \
+    && rm -rf cudnn-linux-x86_64-8.9.7.29_cuda12-archive.tar.xz \
+    && rm -rf cudnn-linux-x86_64-8.9.7.29_cuda12-archive/
 
 # TransformerEngine installation
 export CUDA_HOME=/usr/local/cuda-$SMP_CUDA_VER