diff --git a/opacus/tests/accountants_test.py b/opacus/tests/accountants_test.py
index 82139c2c..1f8fafee 100644
--- a/opacus/tests/accountants_test.py
+++ b/opacus/tests/accountants_test.py
@@ -136,7 +136,7 @@ def test_get_noise_multiplier_prv_steps(self) -> None:
         ),
         delta=st.sampled_from([1e-4, 1e-5, 1e-6]),
     )
-    @settings(deadline=10000)
+    @settings(deadline=40000)
     def test_get_noise_multiplier_overshoot(self, epsilon, epochs, sample_rate, delta):
         noise_multiplier = get_noise_multiplier(
             target_epsilon=epsilon,
diff --git a/opacus/tests/batch_memory_manager_test.py b/opacus/tests/batch_memory_manager_test.py
index 563c3795..b4d73767 100644
--- a/opacus/tests/batch_memory_manager_test.py
+++ b/opacus/tests/batch_memory_manager_test.py
@@ -59,7 +59,7 @@ def _init_training(self, batch_size=10, **data_loader_kwargs):
         batch_size=st.sampled_from([8, 16, 64]),
         max_physical_batch_size=st.sampled_from([4, 8]),
     )
-    @settings(suppress_health_check=list(HealthCheck), deadline=10000)
+    @settings(suppress_health_check=list(HealthCheck), deadline=40000)
     def test_basic(
         self,
         num_workers: int,
@@ -119,7 +119,7 @@ def test_basic(
         num_workers=st.integers(0, 4),
         pin_memory=st.booleans(),
     )
-    @settings(suppress_health_check=list(HealthCheck), deadline=10000)
+    @settings(suppress_health_check=list(HealthCheck), deadline=40000)
     def test_empty_batch(
         self,
         num_workers: int,
diff --git a/opacus/tests/per_sample_gradients_utils_test.py b/opacus/tests/per_sample_gradients_utils_test.py
index ef5b4ce7..a5e63aa9 100644
--- a/opacus/tests/per_sample_gradients_utils_test.py
+++ b/opacus/tests/per_sample_gradients_utils_test.py
@@ -71,7 +71,7 @@ def per_sample_grads_utils_test(
         groups=st.integers(1, 12),
         grad_sample_mode=st.sampled_from(get_grad_sample_modes(use_ew=True)),
     )
-    @settings(deadline=10000)
+    @settings(deadline=40000)
     def test_conv1d(
         self,
         N: int,
@@ -120,7 +120,7 @@ def test_conv1d(
         batch_first=st.booleans(),
         grad_sample_mode=st.sampled_from(get_grad_sample_modes(use_ew=True)),
     )
-    @settings(deadline=10000)
+    @settings(deadline=40000)
     def test_linear(
         self,
         N: int,