diff --git a/Jenkinsfile b/Jenkinsfile
index 10fdf1d6cfab..b963c957d4c5 100644
--- a/Jenkinsfile
+++ b/Jenkinsfile
@@ -494,7 +494,7 @@ try {
     }
   } // End of stage('Build')
 
-  stage('Unit Test') {
+  stage('Tests') {
     parallel 'Python2: CPU': {
       node('mxnetlinux-cpu') {
         ws('workspace/ut-python2-cpu') {
@@ -887,11 +887,8 @@ try {
           }
         }
       }
-    }
-  }
-
-  stage('Integration Test') {
-    parallel 'Onnx CPU': {
+    },
+    'Onnx CPU': {
       node('mxnetlinux-cpu') {
         ws('workspace/it-onnx-cpu') {
           timeout(time: max_time, unit: 'MINUTES') {
@@ -948,19 +945,20 @@ try {
           }
         }
       }
-    },
-    'dist-kvstore tests GPU': {
-      node('mxnetlinux-gpu') {
-        ws('workspace/it-dist-kvstore') {
-          timeout(time: max_time, unit: 'MINUTES') {
-            init_git()
-            unpack_lib('gpu')
-            docker_run('ubuntu_gpu', 'integrationtest_ubuntu_gpu_dist_kvstore', true)
-            publish_test_coverage()
-          }
-        }
-      }
     }
+    // Disable until fixed https://github.com/apache/incubator-mxnet/issues/11441
+    // 'dist-kvstore tests GPU': {
+    //  node('mxnetlinux-gpu') {
+    //    ws('workspace/it-dist-kvstore') {
+    //      timeout(time: max_time, unit: 'MINUTES') {
+    //        init_git()
+    //        unpack_lib('gpu')
+    //        docker_run('ubuntu_gpu', 'integrationtest_ubuntu_gpu_dist_kvstore', true)
+    //        publish_test_coverage()
+    //      }
+    //    }
+    //  }
+    //}
   }
 
   stage('Deploy') {
diff --git a/tests/python/gpu/test_operator_gpu.py b/tests/python/gpu/test_operator_gpu.py
index 45f52b32a342..e4b1917f398d 100644
--- a/tests/python/gpu/test_operator_gpu.py
+++ b/tests/python/gpu/test_operator_gpu.py
@@ -87,6 +87,8 @@ def check_countsketch(in_dim,out_dim,n):
                 a[j,i] = out_grad.asnumpy()[j, h[0,i]] * s[0,i]
     assert_almost_equal(a,arr_grad[0].asnumpy(),rtol=1e-3, atol=1e-12)
 
+
+@unittest.skip("test fails intermittently. temporarily disabled till it gets fixed. tracked at https://github.com/apache/incubator-mxnet/issues/10988")
 @with_seed(0)
 def test_countsketch():
     nrepeat = 2
@@ -460,6 +462,8 @@ def check_consistency_NxM(sym_list, ctx_list):
     # sym_list=[sym1, sym1, sym1, sym2, sym2, sym2] and ctx_list=[ctx1, ctx2, ctx3, ctx1, ctx2, ctx3]
     check_consistency(np.repeat(sym_list, len(ctx_list)), ctx_list * len(sym_list))
 
+
+@unittest.skip("test fails intermittently. temporarily disabled till it gets fixed. tracked at https://github.com/apache/incubator-mxnet/issues/10141")
 @with_seed()
 def test_convolution_options():
     # 1D convolution
diff --git a/tests/python/unittest/test_gluon.py b/tests/python/unittest/test_gluon.py
index cd3cc685bdd6..8dd6934ff232 100644
--- a/tests/python/unittest/test_gluon.py
+++ b/tests/python/unittest/test_gluon.py
@@ -382,6 +382,7 @@ def check_layer_forward(layer, dshape):
     mx.test_utils.assert_almost_equal(np_out, out.asnumpy(), rtol=1e-5, atol=1e-6)
     mx.test_utils.assert_almost_equal(np_dx, x.grad.asnumpy(), rtol=1e-5, atol=1e-6)
 
+@unittest.skip("test fails intermittently. temporarily disabled till it gets fixed. tracked at https://github.com/apache/incubator-mxnet/issues/11395")
 @with_seed()
 def test_conv():
     layers1d = [
diff --git a/tests/python/unittest/test_operator.py b/tests/python/unittest/test_operator.py
index e07a602b8c18..1a1c548c595b 100644
--- a/tests/python/unittest/test_operator.py
+++ b/tests/python/unittest/test_operator.py
@@ -186,6 +186,8 @@ def test_rnnrelu_sym():
     check_rnn_consistency(fused, stack, T, N, I, H, 'add')
     check_rnn_consistency(fused, stack, T, N, I, H, 'null')
 
+
+@unittest.skip("test fails intermittently. temporarily disabled till it gets fixed. tracked at https://github.com/apache/incubator-mxnet/issues/11410")
 @with_seed()
 def test_rnnrelu_bidirectional():
     T, N, I, H = 5, 20, 200, 200
@@ -1289,6 +1291,7 @@ def check_deconvolution_target_shape(input_shape, kernel, stride, pad, adj, targ
     assert out_shapes[0] == (input_shape[0], 5) + target_shape
 
 
+@unittest.skip("test fails intermittently. temporarily disabled till it gets fixed. tracked at https://github.com/apache/incubator-mxnet/issues/10973")
 @with_seed()
 def test_deconvolution():
     # 2D
@@ -5476,6 +5479,7 @@ def check_dropout_axes(ratio, shape, axes):
         check_dropout_axes(0.25, nshape, axes = (1, 2, 3))
 
 
+@unittest.skip("test fails intermittently. temporarily disabled till it gets fixed. tracked at https://github.com/apache/incubator-mxnet/issues/11290")
 @with_seed()
 def test_scatter_gather_nd():
     def check(data, idx):