diff --git a/docs/source/basic.rst b/docs/source/basic.rst
index 5cad23d1..c6d483a5 100644
--- a/docs/source/basic.rst
+++ b/docs/source/basic.rst
@@ -111,4 +111,4 @@ AWS
 ^^^
 You can either use `Gaudi-based AWS EC2 DL1 instances <https://aws.amazon.com/ec2/instance-types/dl1/>`__ or `Supermicro X12 Gaudi server <https://www.supermicro.com/en/solutions/habana-gaudi>`__ to get access to HPUs.
 
-Check out the `PyTorch Model on AWS DL1 Instance Quick Start <https://docs.habana.ai/en/latest/AWS_EC2_DL1_and_PyTorch_Quick_Start/AWS_EC2_DL1_and_PyTorch_Quick_Start.html>`__.
+Check out the `PyTorch Model on AWS DL1 Instance Quick Start <https://docs.habana.ai/en/v1.19.0/Quick_Start_Guides/AWS_EC2_DL1_and_PyTorch_Quick_Start.html>`__.
diff --git a/docs/source/intermediate.rst b/docs/source/intermediate.rst
index 433af6f7..9fec7fb4 100644
--- a/docs/source/intermediate.rst
+++ b/docs/source/intermediate.rst
@@ -284,7 +284,7 @@ INC uses configuration jsons for selecting between quant and measurement modes.
 This can be toggled via `quant` param in `HPUPrecisionPlugin.convert_modules()`.
 `quant` also accepts user defined config dictionary or a json path.
 
-Refer to `Supported JSON Config File Options <https://docs.habana.ai/en/latest/PyTorch/Inference_on_PyTorch/Inference_Using_FP8.html#supported-json-config-file-options>`__ for more information on supported json configs.
+Refer to `Supported JSON Config File Options <https://docs.habana.ai/en/v1.19.0/PyTorch/Inference_on_PyTorch/Quantization/Inference_Using_FP8.html#supported-json-config-file-options>`__ for more information on supported json configs.
 
 
 .. note::
@@ -292,7 +292,7 @@ Refer to `Supported JSON Config File Options <https://docs.habana.ai/en/latest/P
     To enable fp8 inference with HPUDeepSpeedStrategy, use HPUDeepSpeedPrecisionPlugin, instead of HPUPrecisionPlugin, while keeping all other steps the same.
 
 
-For more details, refer to `Inference Using FP8 <https://docs.habana.ai/en/latest/PyTorch/Inference_on_PyTorch/Inference_Using_FP8.html>`__.
+For more details, refer to `Inference Using FP8 <https://docs.habana.ai/en/v1.19.0/PyTorch/Inference_on_PyTorch/Quantization/Inference_Using_FP8.html>`__.
 For a list of data types supported with HPU, refer to `PyTorch Support Matrix <https://docs.habana.ai/en/latest/PyTorch/Reference/PyTorch_Support_Matrix.html>`__.
 
 ----