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Co-authored-by: Leo Paoletti <164940351+lpaoletti@users.noreply.github.com>

RELEASE.md

@@ -241,8 +241,6 @@ ROCm documentation continues to be updated to provide clearer and more comprehen
 
     For more information about the changes, see the [Changelog for the AI Developer Hub](https://rocm.docs.amd.com/projects/ai-developer-hub/en/latest/changelog.html).
 
-* ROCm components support a wide range of environment variables that can be used for testing, logging, debugging, experimental features, and more. The [rocBLAS](https://rocm.docs.amd.com/projects/rocBLAS/en/docs-7.0.2/reference/env-variables.html) and [RCCL](https://rocm.docs.amd.com/projects/rccl/en/docs-7.0.2/api-reference/env-variables.html) components have been updated with new environment variable content. 
-
 ## ROCm components
 
 The following table lists the versions of ROCm components for ROCm 7.0.2, including any version

docs/compatibility/ml-compatibility/pytorch-compatibility.rst

@@ -407,7 +407,7 @@ with ROCm.
 
         **Note:** Only official release exists.
 
-Key features and enhancements for PyTorch 2.7 with ROCm 7.0
+Key features and enhancements for PyTorch 2.7/2.8 with ROCm 7.0
 ================================================================================
 
 - Enhanced TunableOp framework: Introduces ``tensorfloat32`` support for
@@ -467,7 +467,7 @@ Key features and enhancements for PyTorch 2.7 with ROCm 7.0
   network training or inference. For AMD platforms, ``amdclang++`` has been
   validated as the supported compiler for building these extensions.
 
-Known issues and notes for PyTorch 2.7 with ROCm 7.0
+Known issues and notes for PyTorch 2.7/2.8 with ROCm 7.0
 ================================================================================
 
 - The ``matmul.allow_fp16_reduced_precision_reduction`` and