diff --git a/pyannote/audio/cli/train.py b/pyannote/audio/cli/train.py
index 6e04fcde5..825d7f8ae 100644
--- a/pyannote/audio/cli/train.py
+++ b/pyannote/audio/cli/train.py
@@ -37,7 +37,7 @@
     RichProgressBar,
 )
 from pytorch_lightning.loggers import TensorBoardLogger
-from pytorch_lightning.utilities.seed import seed_everything
+from lightning_lite.utilities.seed import seed_everything
 from torch_audiomentations.utils.config import from_dict as get_augmentation
 
 from pyannote.audio.core.io import get_torchaudio_info
diff --git a/pyannote/audio/core/model.py b/pyannote/audio/core/model.py
index 2a49360b9..000b469b6 100644
--- a/pyannote/audio/core/model.py
+++ b/pyannote/audio/core/model.py
@@ -36,7 +36,7 @@
 from huggingface_hub import hf_hub_download
 from huggingface_hub.utils import RepositoryNotFoundError
 from pyannote.core import SlidingWindow
-from pytorch_lightning.utilities.cloud_io import load as pl_load
+from lightning_lite.utilities.cloud_io import _load as pl_load
 from pytorch_lightning.utilities.model_summary import ModelSummary
 from semver import VersionInfo
 from torch.utils.data import DataLoader
diff --git a/pyannote/audio/pipelines/voice_activity_detection.py b/pyannote/audio/pipelines/voice_activity_detection.py
index 4328e1cbf..0edbea42f 100644
--- a/pyannote/audio/pipelines/voice_activity_detection.py
+++ b/pyannote/audio/pipelines/voice_activity_detection.py
@@ -346,7 +346,8 @@ def configure_optimizers(model):
         with tempfile.TemporaryDirectory() as default_root_dir:
             trainer = Trainer(
                 max_epochs=self.num_epochs,
-                gpus=1,
+                accelerator="gpu",
+                devices=1,
                 callbacks=[GraduallyUnfreeze(epochs_per_stage=self.num_epochs + 1)],
                 enable_checkpointing=False,
                 default_root_dir=default_root_dir,
diff --git a/requirements.txt b/requirements.txt
index df2e9c1d6..b2d000a27 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -9,7 +9,7 @@ pyannote.core >=4.4,<5.0
 pyannote.database >=4.1.1,<5.0
 pyannote.metrics >=3.2,<4.0
 pyannote.pipeline >=2.3,<3.0
-pytorch_lightning >=1.5.4,<1.7
+pytorch_lightning >=1.8.0,<1.9
 pytorch_metric_learning >=1.0.0,<2.0
 rich >= 12.0.0
 semver >=2.10.2,<3.0
diff --git a/tests/tasks/test_reproducibility.py b/tests/tasks/test_reproducibility.py
index 39a950464..912548827 100644
--- a/tests/tasks/test_reproducibility.py
+++ b/tests/tasks/test_reproducibility.py
@@ -1,4 +1,4 @@
-import pytorch_lightning as pl
+from lightning_lite.utilities.seed import seed_everything
 import torch
 
 from pyannote.audio.models.segmentation.debug import SimpleSegmentationModel
@@ -30,7 +30,7 @@ def get_next5(dl):
 
 def test_seeding_ensures_data_loaders():
     "Setting a global seed for the dataloaders ensures that we get data back in the same order"
-    pl.seed_everything(1)
+    seed_everything(1)
 
     for task in [VoiceActivityDetection, MultiLabelSegmentation]:
         protocol, vad = setup_tasks(task)
@@ -50,12 +50,12 @@ def test_different_seeds():
 
     for task in [VoiceActivityDetection, MultiLabelSegmentation]:
         protocol, vad = setup_tasks(task)
-        pl.seed_everything(4)
+        seed_everything(4)
         dl = create_dl(SimpleSegmentationModel, vad)
         last5a = get_next5(dl)
 
         protocol, vad = setup_tasks(task)
-        pl.seed_everything(5)
+        seed_everything(5)
         dl = create_dl(SimpleSegmentationModel, vad)
         last5b = get_next5(dl)
 
diff --git a/tutorials/training_a_model.ipynb b/tutorials/training_a_model.ipynb
index 167a48c9a..f062bd95d 100644
--- a/tutorials/training_a_model.ipynb
+++ b/tutorials/training_a_model.ipynb
@@ -180,7 +180,7 @@
    ],
    "source": [
     "import pytorch_lightning as pl\n",
-    "trainer = pl.Trainer(gpus=1, max_epochs=1)\n",
+    "trainer = pl.Trainer(devices=1, accelerator=\"gpu\", max_epochs=1)\n",
     "trainer.fit(vad_model)"
    ]
   },
@@ -545,7 +545,7 @@
     }
    ],
    "source": [
-    "trainer = pl.Trainer(gpus=1, max_epochs=1)\n",
+    "trainer = pl.Trainer(devices=1, accelerator=\"gpu\", max_epochs=1)\n",
     "trainer.fit(finetuned)"
    ]
   },
@@ -781,7 +781,7 @@
     }
    ],
    "source": [
-    "trainer = pl.Trainer(gpus=1, max_epochs=1)\n",
+    "trainer = pl.Trainer(devices=1, accelerator=\"gpu\", max_epochs=1)\n",
     "trainer.fit(osd_model)"
    ]
   },
@@ -854,7 +854,7 @@
     "We also benefit from all the nice things [`pytorch-lightning`](ttps://pytorch-lightning.readthedocs.io) has to offer (like multi-gpu training, for instance).\n",
     "\n",
     "```python\n",
-    "trainer = Trainer(gpus=4, strategy='ddp')\n",
+    "trainer = Trainer(devices=4, accelerator=\"gpu\", strategy='ddp')\n",
     "trainer.fit(model)\n",
     "```\n",
     "\n",
diff --git a/tutorials/voice_activity_detection.ipynb b/tutorials/voice_activity_detection.ipynb
index 1b80bd391..df2cadd15 100644
--- a/tutorials/voice_activity_detection.ipynb
+++ b/tutorials/voice_activity_detection.ipynb
@@ -273,7 +273,7 @@
    ],
    "source": [
     "import pytorch_lightning as pl\n",
-    "trainer = pl.Trainer(gpus=1, max_epochs=2)\n",
+    "trainer = pl.Trainer(devices=1, accelerator=\"gpu\", max_epochs=2)\n",
     "trainer.fit(model)"
    ]
   },