diff --git a/dlc_developer_config.toml b/dlc_developer_config.toml
index bce20ebd1eb7..e751d9dfd414 100644
--- a/dlc_developer_config.toml
+++ b/dlc_developer_config.toml
@@ -37,16 +37,16 @@ deep_canary_mode = false
 [build]
 # Add in frameworks you would like to build. By default, builds are disabled unless you specify building an image.
 # available frameworks - ["base", "vllm", "autogluon", "huggingface_tensorflow", "huggingface_pytorch", "huggingface_tensorflow_trcomp", "huggingface_pytorch_trcomp", "pytorch_trcomp", "tensorflow", "pytorch", "stabilityai_pytorch"]
-build_frameworks = []
+build_frameworks = ["pytorch"]
 
 
 # By default we build both training and inference containers. Set true/false values to determine which to build.
-build_training = true
-build_inference = true
+build_training = true 
+build_inference = false 
 
 # Set do_build to "false" to skip builds and test the latest image built by this PR
 # Note: at least one build is required to set do_build to "false"
-do_build = true
+do_build = false
 
 [notify]
 ### Notify on test failures
@@ -57,13 +57,13 @@ notify_test_failures = false
 
 [test]
 ### On by default
-sanity_tests = true
-security_tests = true
+sanity_tests = false
+security_tests = false
   safety_check_test = false
   ecr_scan_allowlist_feature = false
 ecs_tests = true
-eks_tests = true
-ec2_tests = true
+eks_tests = false
+ec2_tests = false
 # Set it to true if you are preparing a Benchmark related PR
 ec2_benchmark_tests = false
 
@@ -74,7 +74,7 @@ ec2_benchmark_tests = false
 ec2_tests_on_heavy_instances = false
 ### SM specific tests
 ### On by default
-sagemaker_local_tests = true
+sagemaker_local_tests = false
 ### Set enable_ipv6 = true to run tests with IPv6-enabled resources
 ### Off by default (set to false)
 enable_ipv6 = false
@@ -92,7 +92,7 @@ enable_ipv6 = false
 ipv6_vpc_name = ""
 
 # run standard sagemaker remote tests from test/sagemaker_tests
-sagemaker_remote_tests = true
+sagemaker_remote_tests = false
 # run efa sagemaker tests
 sagemaker_efa_tests = false
 # run release_candidate_integration tests
@@ -122,7 +122,7 @@ use_scheduler = false
 dlc-pr-base = ""
 
 # Standard Framework Training
-dlc-pr-pytorch-training = ""
+dlc-pr-pytorch-training = "pytorch/training/buildspec-2-7-ec2.yml"
 dlc-pr-tensorflow-2-training = ""
 dlc-pr-autogluon-training = ""
 
@@ -179,7 +179,4 @@ dlc-pr-stabilityai-pytorch-inference = ""
 
 # EIA Inference
 dlc-pr-pytorch-eia-inference = ""
-dlc-pr-tensorflow-2-eia-inference = ""
-
-# vllm
-dlc-pr-vllm = ""
\ No newline at end of file
+dlc-pr-tensorflow-2-eia-inference = ""
\ No newline at end of file
diff --git a/test/dlc_tests/ecs/pytorch/training/test_ecs_pytorch_training.py b/test/dlc_tests/ecs/pytorch/training/test_ecs_pytorch_training.py
index 9725c3466760..b6da413a8bb2 100644
--- a/test/dlc_tests/ecs/pytorch/training/test_ecs_pytorch_training.py
+++ b/test/dlc_tests/ecs/pytorch/training/test_ecs_pytorch_training.py
@@ -30,7 +30,7 @@
 @pytest.mark.parametrize("ecs_ami", [ECS_AML2_CPU_USWEST2], indirect=True)
 @pytest.mark.team("conda")
 def test_ecs_pytorch_training_mnist_cpu(
-    cpu_only, ecs_container_instance, pytorch_training, training_cmd, ecs_cluster_name
+    pytorch_training, cpu_only, ecs_container_instance, training_cmd, ecs_cluster_name
 ):
     """
     CPU mnist test for PyTorch Training
@@ -118,10 +118,10 @@ def test_ecs_pytorch_training_mnist_neuronx_inf2(
 @pytest.mark.parametrize("use_large_storage", [True], indirect=True)
 @pytest.mark.team("conda")
 def test_ecs_pytorch_training_mnist_gpu(
+    pytorch_training,
     gpu_only,
     use_large_storage,
     ecs_container_instance,
-    pytorch_training,
     training_cmd,
     ecs_cluster_name,
 ):
@@ -155,7 +155,7 @@ def test_ecs_pytorch_training_mnist_gpu(
 @pytest.mark.parametrize("ecs_ami", [ECS_AML2_CPU_USWEST2], indirect=True)
 @pytest.mark.team("dgl")
 def test_ecs_pytorch_training_dgl_cpu(
-    cpu_only, py3_only, ecs_container_instance, pytorch_training, training_cmd, ecs_cluster_name
+    pytorch_training, cpu_only, py3_only, ecs_container_instance, training_cmd, ecs_cluster_name
 ):
     """
     CPU DGL test for PyTorch Training
@@ -188,11 +188,11 @@ def test_ecs_pytorch_training_dgl_cpu(
 @pytest.mark.parametrize("use_large_storage", [True], indirect=True)
 @pytest.mark.team("dgl")
 def test_ecs_pytorch_training_dgl_gpu(
+    pytorch_training,
     gpu_only,
     py3_only,
     use_large_storage,
     ecs_container_instance,
-    pytorch_training,
     training_cmd,
     ecs_cluster_name,
 ):