diff --git a/torchtune/training/precision.py b/torchtune/training/precision.py
index 0828baa7ea..85a2c07e4f 100644
--- a/torchtune/training/precision.py
+++ b/torchtune/training/precision.py
@@ -53,6 +53,7 @@ def verify_bf16_support() -> bool:
         - NCCL is available and version >= 2.10
         - MPS is available and torch was built with MPS
         - NPU is available and supports bf16
+        - XPU is available and supports bf16
 
     Returns:
         bool: True if bf16 is available, False otherwise.
@@ -66,7 +67,8 @@ def verify_bf16_support() -> bool:
     )
     mps_support = torch.backends.mps.is_available() and torch.backends.mps.is_built()
     npu_support = is_npu_available and torch.npu.is_bf16_supported()
-    return cuda_support or mps_support or npu_support
+    xpu_support = torch.xpu.is_available() and torch.xpu.is_bf16_supported()
+    return cuda_support or mps_support or npu_support or xpu_support
 
 
 def get_dtype(
diff --git a/torchtune/utils/_device.py b/torchtune/utils/_device.py
index 36ca14a358..d4f84cd63e 100644
--- a/torchtune/utils/_device.py
+++ b/torchtune/utils/_device.py
@@ -89,6 +89,8 @@ def _get_device_type_from_env() -> str:
         device = "cuda"
     elif is_npu_available:
         device = "npu"
+    elif torch.xpu.is_available():
+        device = "xpu"
     else:
         device = "cpu"
     return device
@@ -136,7 +138,7 @@ def get_device(device: Optional[str] = None) -> torch.device:
     If CUDA-like is available and being used, this function also sets the CUDA-like device.
 
     Args:
-        device (Optional[str]): The name of the device to use, e.g. "cuda" or "cpu" or "npu".
+        device (Optional[str]): The name of the device to use, e.g. "cuda" or "cpu" or "npu" or "xpu".
 
     Example:
         >>> device = get_device("cuda")
@@ -149,7 +151,7 @@ def get_device(device: Optional[str] = None) -> torch.device:
     if device is None:
         device = _get_device_type_from_env()
     device = torch.device(device)
-    if device.type in ["cuda", "npu"]:
+    if device.type in ["cuda", "npu", "xpu"]:
         device = _setup_device(device)
     _validate_device_from_env(device)
     return device
@@ -184,16 +186,18 @@ def batch_to_device(batch: dict, device: torch.device) -> None:
 class DeviceSupport(Enum):
     """
     This is a simple enum for compute devices,
-    This currently only supports CPU, CUDA, NPU.
+    This currently only supports CPU, CUDA, NPU, and XPU.
     The following enumeration defines various device configurations with attributes:
-    1. `device_type` (str): The type of device (e.g., "cpu", "cuda", "npu").
-    2. `device_name` (str): A user-friendly name for the device (e.g., "CPU", "GPU", "NPU").
-    3. `communication_backend` (str): Specifies the backend used for communication on this device (e.g., "gloo", "nccl", "hccl").
+    1. `device_type` (str): The type of device (e.g., "cpu", "cuda", "npu", "xpu").
+    2. `device_name` (str): A user-friendly name for the device (e.g., "CPU", "GPU", "NPU", "XPU").
+    3. `communication_backend` (str): Specifies the backend used for communication on this device
+    (e.g., "gloo", "nccl", "hccl", "ccl").
     """
 
     CPU = ("cpu", "CPU", "gloo")
     CUDA = ("cuda", "GPU", "nccl")
     NPU = ("npu", "NPU", "hccl")
+    XPU = ("xpu", "XPU", "ccl")
 
     def __init__(
         self,
@@ -216,7 +220,7 @@ def from_type(device_type: str):
 def get_device_support() -> DeviceSupport:
     """function that gets the DeviceSupport with compute devices based on the current machine.
 
-    This currently only supports CPU, CUDA, NPU.
+    This currently only supports CPU, CUDA, NPU, XPU.
 
     Returns:
         device_support: DeviceSupport