diff --git a/.lightning/workflows/pytorch.yml b/.lightning/workflows/pytorch.yml
index 15dfc4a1f9064..59b485946721e 100644
--- a/.lightning/workflows/pytorch.yml
+++ b/.lightning/workflows/pytorch.yml
@@ -121,7 +121,12 @@ run: |
 
   echo "Install package"
   extra=$(python -c "print({'lightning': 'pytorch-'}.get('${PACKAGE_NAME}', ''))")
-  uv pip install -e ".[${extra}dev]" --upgrade
+
+  # Use find-links to prefer CUDA-specific packages from PyTorch index
+  uv pip install -e ".[${extra}dev]" --upgrade \
+    --find-links="https://download.pytorch.org/whl/${UV_TORCH_BACKEND}" \
+    --find-links="https://download.pytorch.org/whl/${UV_TORCH_BACKEND}/torch-tensorrt"
+  uv pip list
 
   echo "Ensure only a single package is installed"
   if [ "${PACKAGE_NAME}" == "pytorch" ]; then
diff --git a/requirements/fabric/base.txt b/requirements/fabric/base.txt
index d187769117be6..bcf69b2503e5d 100644
--- a/requirements/fabric/base.txt
+++ b/requirements/fabric/base.txt
@@ -1,7 +1,7 @@
 # NOTE: the upper bound for the package version is only set for CI stability, and it is dropped while installing this package
 #  in case you want to preserve/enforce restrictions on the latest compatible version, add "strict" as an in-line comment
 
-torch >=2.1.0, <2.9.0
+torch >=2.1.0, <2.10.0
 fsspec[http] >=2022.5.0, <2025.11.0
 packaging >=20.0, <=25.0
 typing-extensions >4.5.0, <4.16.0
diff --git a/requirements/pytorch/base.txt b/requirements/pytorch/base.txt
index 65a3f7484fb7d..634e7da0ffb34 100644
--- a/requirements/pytorch/base.txt
+++ b/requirements/pytorch/base.txt
@@ -1,7 +1,7 @@
 # NOTE: the upper bound for the package version is only set for CI stability, and it is dropped while installing this package
 #  in case you want to preserve/enforce restrictions on the latest compatible version, add "strict" as an in-line comment
 
-torch >=2.1.0, <2.9.0
+torch >=2.1.0, <2.10.0
 tqdm >=4.57.0, <4.68.0
 PyYAML >5.4, <6.1.0
 fsspec[http] >=2022.5.0, <2025.11.0
diff --git a/requirements/typing.txt b/requirements/typing.txt
index dc848c55e583d..8c5ad38fb7825 100644
--- a/requirements/typing.txt
+++ b/requirements/typing.txt
@@ -1,5 +1,5 @@
 mypy==1.18.2
-torch==2.8.0
+torch==2.9.0
 
 types-Markdown
 types-PyYAML
diff --git a/src/lightning/fabric/utilities/spike.py b/src/lightning/fabric/utilities/spike.py
index 9c1b0a2a00572..cd2e05309e087 100644
--- a/src/lightning/fabric/utilities/spike.py
+++ b/src/lightning/fabric/utilities/spike.py
@@ -126,10 +126,10 @@ def _handle_spike(self, fabric: "Fabric", batch_idx: int) -> None:
         raise TrainingSpikeException(batch_idx=batch_idx)
 
     def _check_atol(self, val_a: Union[float, torch.Tensor], val_b: Union[float, torch.Tensor]) -> bool:
-        return (self.atol is None) or bool(abs(val_a - val_b) >= abs(self.atol))
+        return (self.atol is None) or bool(abs(val_a - val_b) >= abs(self.atol))  # type: ignore
 
     def _check_rtol(self, val_a: Union[float, torch.Tensor], val_b: Union[float, torch.Tensor]) -> bool:
-        return (self.rtol is None) or bool(abs(val_a - val_b) >= abs(self.rtol * val_b))
+        return (self.rtol is None) or bool(abs(val_a - val_b) >= abs(self.rtol * val_b))  # type: ignore
 
     def _is_better(self, diff_val: torch.Tensor) -> bool:
         if self.mode == "min":
diff --git a/src/lightning/pytorch/utilities/imports.py b/src/lightning/pytorch/utilities/imports.py
index ab99457eee2d1..f7305fbda8f90 100644
--- a/src/lightning/pytorch/utilities/imports.py
+++ b/src/lightning/pytorch/utilities/imports.py
@@ -29,6 +29,7 @@
 _TORCHMETRICS_GREATER_EQUAL_1_0_0 = RequirementCache("torchmetrics>=1.0.0")
 _TORCH_EQUAL_2_8 = RequirementCache("torch>=2.8.0,<2.9.0")
 _TORCH_EQUAL_2_9 = RequirementCache("torch>=2.9.0,<2.10.0")
+_TORCH_GREATER_EQUAL_2_8 = compare_version("torch", operator.ge, "2.8.0")
 
 _OMEGACONF_AVAILABLE = package_available("omegaconf")
 _TORCHVISION_AVAILABLE = RequirementCache("torchvision")
diff --git a/tests/tests_fabric/conftest.py b/tests/tests_fabric/conftest.py
index 0564632b315a7..323cbecc0ee4e 100644
--- a/tests/tests_fabric/conftest.py
+++ b/tests/tests_fabric/conftest.py
@@ -117,6 +117,7 @@ def thread_police_duuu_daaa_duuu_daaa():
             sys.version_info >= (3, 9)
             and isinstance(thread, _ExecutorManagerThread)
             or "ThreadPoolExecutor-" in thread.name
+            or thread.name == "InductorSubproc"  # torch.compile
         ):
             # probably `torch.compile`, can't narrow it down further
             continue
diff --git a/tests/tests_pytorch/conftest.py b/tests/tests_pytorch/conftest.py
index 53dd20e7e4399..518670c8d2483 100644
--- a/tests/tests_pytorch/conftest.py
+++ b/tests/tests_pytorch/conftest.py
@@ -173,6 +173,7 @@ def thread_police_duuu_daaa_duuu_daaa():
             sys.version_info >= (3, 9)
             and isinstance(thread, _ExecutorManagerThread)
             or "ThreadPoolExecutor-" in thread.name
+            or thread.name == "InductorSubproc"  # torch.compile
         ):
             # probably `torch.compile`, can't narrow it down further
             continue
diff --git a/tests/tests_pytorch/helpers/runif.py b/tests/tests_pytorch/helpers/runif.py
index 76204784cce0a..cf2ff39c698c7 100644
--- a/tests/tests_pytorch/helpers/runif.py
+++ b/tests/tests_pytorch/helpers/runif.py
@@ -14,7 +14,7 @@
 import pytest
 
 from lightning.fabric.utilities.imports import _IS_WINDOWS
-from lightning.pytorch.utilities.imports import _TORCH_EQUAL_2_8, _TORCH_EQUAL_2_9
+from lightning.pytorch.utilities.imports import _TORCH_GREATER_EQUAL_2_8
 from lightning.pytorch.utilities.testing import _runif_reasons
 
 
@@ -27,6 +27,6 @@ def RunIf(**kwargs):
 _xfail_gloo_windows = pytest.mark.xfail(
     RuntimeError,
     strict=True,
-    condition=(_IS_WINDOWS and (_TORCH_EQUAL_2_8 or _TORCH_EQUAL_2_9)),
+    condition=(_IS_WINDOWS and _TORCH_GREATER_EQUAL_2_8),
     reason="makeDeviceForHostname(): unsupported gloo device",
 )
diff --git a/tests/tests_pytorch/models/test_torch_tensorrt.py b/tests/tests_pytorch/models/test_torch_tensorrt.py
index 630e59f711348..1ab8948d4482e 100644
--- a/tests/tests_pytorch/models/test_torch_tensorrt.py
+++ b/tests/tests_pytorch/models/test_torch_tensorrt.py
@@ -10,6 +10,7 @@
 from lightning.pytorch.core.module import _TORCH_TRT_AVAILABLE
 from lightning.pytorch.demos.boring_classes import BoringModel
 from lightning.pytorch.utilities.exceptions import MisconfigurationException
+from lightning.pytorch.utilities.imports import _TORCH_EQUAL_2_9
 from tests_pytorch.helpers.runif import RunIf
 
 
@@ -110,7 +111,14 @@ def test_tensorrt_saves_on_multi_gpu(tmp_path):
     [
         ("default", torch.fx.GraphModule),
         ("dynamo", torch.fx.GraphModule),
-        ("ts", torch.jit.ScriptModule),
+        pytest.param(
+            "ts",
+            torch.jit.ScriptModule,
+            marks=pytest.mark.skipif(
+                _TORCH_EQUAL_2_9,
+                reason="TorchScript IR crashes with torch_tensorrt on PyTorch 2.9",
+            ),
+        ),
     ],
 )
 @RunIf(tensorrt=True, min_cuda_gpus=1, min_torch="2.2.0")
@@ -128,7 +136,17 @@ def test_tensorrt_save_ir_type(ir, export_type):
 )
 @pytest.mark.parametrize(
     "ir",
-    ["default", "dynamo", "ts"],
+    [
+        "default",
+        "dynamo",
+        pytest.param(
+            "ts",
+            marks=pytest.mark.skipif(
+                _TORCH_EQUAL_2_9,
+                reason="TorchScript IR crashes with torch_tensorrt on PyTorch 2.9",
+            ),
+        ),
+    ],
 )
 @RunIf(tensorrt=True, min_cuda_gpus=1, min_torch="2.2.0")
 def test_tensorrt_export_reload(output_format, ir, tmp_path):
diff --git a/tests/tests_pytorch/trainer/test_trainer.py b/tests/tests_pytorch/trainer/test_trainer.py
index ea3c31a370fce..76860fd82733f 100644
--- a/tests/tests_pytorch/trainer/test_trainer.py
+++ b/tests/tests_pytorch/trainer/test_trainer.py
@@ -55,7 +55,7 @@
 from lightning.pytorch.strategies.launchers import _MultiProcessingLauncher, _SubprocessScriptLauncher
 from lightning.pytorch.trainer.states import RunningStage, TrainerFn
 from lightning.pytorch.utilities.exceptions import MisconfigurationException
-from lightning.pytorch.utilities.imports import _OMEGACONF_AVAILABLE, _TORCH_EQUAL_2_8
+from lightning.pytorch.utilities.imports import _OMEGACONF_AVAILABLE, _TORCH_GREATER_EQUAL_2_8
 from tests_pytorch.conftest import mock_cuda_count, mock_mps_count
 from tests_pytorch.helpers.datamodules import ClassifDataModule
 from tests_pytorch.helpers.runif import RunIf
@@ -1730,7 +1730,12 @@ def test_exception_when_lightning_module_is_not_set_on_trainer(fn):
 
 @RunIf(min_cuda_gpus=1)
 # FixMe: the memory raises to 1024 from expected 512
-@pytest.mark.xfail(AssertionError, strict=True, condition=_TORCH_EQUAL_2_8, reason="temporarily disabled for torch 2.8")
+@pytest.mark.xfail(
+    AssertionError,
+    strict=True,
+    condition=_TORCH_GREATER_EQUAL_2_8,
+    reason="temporarily disabled for torch >= 2.8",
+)
 def test_multiple_trainer_constant_memory_allocated(tmp_path):
     """This tests ensures calling the trainer several times reset the memory back to 0."""