ENG-21369: Updates Ray image to 2.44.1 for Python 3.11

Author: bredamc

modules/creating-a-custom-training-image.adoc

@@ -27,8 +27,8 @@ The following table shows some example base training images:
 | Ray
 | CUDA
 | 3.11
-| `ray:2.35.0-py311-cu121`
-| Ray 2.35.0, Python 3.11, CUDA 12.1
+| `ray:2.44.1-py311-cu121`
+| Ray 2.44.1, Python 3.11, CUDA 12.1
 
 | Ray
 | ROCm
@@ -39,8 +39,8 @@ The following table shows some example base training images:
 | Ray
 | ROCm
 | 3.11
-| `ray:2.35.0-py311-rocm62`
-| Ray 2.35.0, Python 3.11, ROCm 6.2
+| `ray:2.44.1-py311-rocm62`
+| Ray 2.44.1, Python 3.11, ROCm 6.2
 
 | KFTO
 | CUDA
@@ -93,7 +93,7 @@ Examples:
 +
 [source,bash]
 ----
-FROM quay.io/modh/ray:2.35.0-py311-cu121
+FROM quay.io/modh/ray:2.44.1-py311-cu121
 ----
 +
 [source,bash]

modules/deploying-models-using-multiple-gpu-nodes.adoc

@@ -203,7 +203,7 @@ NOTE: You may need to specify additional arguments, depending on your environmen
 
 .Verification
 
-To confirm that you have set up your environment to deploy models on multiple GPU nodes, check the GPU resource status, the `InferenceService` status, the ray cluster status, and send a request to the model.
+To confirm that you have set up your environment to deploy models on multiple GPU nodes, check the GPU resource status, the `InferenceService` status, the Ray cluster status, and send a request to the model.
 
 * Check the GPU resource status: