diff --git a/docs/source/advanced/precision.rst b/docs/source/advanced/precision.rst
index 9dd31f0d65..13900ffb5b 100644
--- a/docs/source/advanced/precision.rst
+++ b/docs/source/advanced/precision.rst
@@ -20,7 +20,7 @@ Higher precision, such as the 64-bit floating-point, can be used for highly sens
 Following are the precisions available in Lightning along with their supported Accelerator:
 
 .. list-table:: Precision with Accelerators
-   :widths: 20 20 20 20 20
+   :widths: 20 20 20 20 20 20
    :header-rows: 1
 
    * - Precision
@@ -28,26 +28,31 @@ Following are the precisions available in Lightning along with their supported A
      - GPU
      - TPU
      - IPU
+     - HPU
    * - 16
      - No
      - Yes
      - No
      - Yes
+     - No
    * - BFloat16
      - Yes
      - Yes
      - Yes
      - No
+     - Yes
    * - 32
      - Yes
      - Yes
      - Yes
      - Yes
+     - Yes
    * - 64
      - Yes
      - Yes
      - No
      - No
+     - No
 
 
 ***************
@@ -224,4 +229,4 @@ You can also customize and pass your own Precision Plugin by subclassing the :cl
 ***************
 
 It is possible to further reduce the precision using third-party libraries like `bitsandbytes <https://github.com/facebookresearch/bitsandbytes>`_. Although,
-Lightning doesn't support it out of the box yet but you can still use it by configuring it in your LightningModule and setting ``Trainer(precision=32)``.
+Lightning doesn't support it out of the box yet but you can still use it by configuring it in your :class:`~pytorch_lightning.core.lightning.LightningModule` and setting ``Trainer(precision=32)``.