diff --git a/beginner_source/hyperparameter_tuning_tutorial.py b/beginner_source/hyperparameter_tuning_tutorial.py
index aa84069f7be..dd3fe65699e 100644
--- a/beginner_source/hyperparameter_tuning_tutorial.py
+++ b/beginner_source/hyperparameter_tuning_tutorial.py
@@ -184,7 +184,7 @@ def forward(self, x):
 #         inputs, labels = inputs.to(device), labels.to(device)
 #
 # The code now supports training on CPUs, on a single GPU, and on multiple GPUs. Notably, Ray
-# also supports `fractional GPUs <https://docs.ray.io/en/master/using-ray-with-gpus.html#fractional-gpus>`_
+# also supports `fractional GPUs <https://docs.ray.io/en/latest/ray-core/scheduling/accelerators.html#fractional-accelerators>`_
 # so we can share GPUs among trials, as long as the model still fits on the GPU memory. We'll come back
 # to that later.
 #