diff --git a/docs/compatibility/ml-compatibility/pytorch-compatibility.rst b/docs/compatibility/ml-compatibility/pytorch-compatibility.rst
index 5fc0c4cb1..3e900ac3e 100644
--- a/docs/compatibility/ml-compatibility/pytorch-compatibility.rst
+++ b/docs/compatibility/ml-compatibility/pytorch-compatibility.rst
@@ -399,18 +399,19 @@ with ROCm.
 
         **Note:** Only official release exists.
 
-Key features and enhancements for PyTorch 2.8 with ROCm 7.1
+Key features and enhancements for PyTorch 2.9 with ROCm 7.1.1
 ================================================================================
+- Added OCP Micro-scaling Format (mx-fp8/mx-fp4) support for advanced precision training.
 
-- MIOpen deep learning optimizations: Further optimized NHWC BatchNorm feature.
+- `torch.backends.miopen.immediate` flag to toggle MIOpen Immediate Mode independently of 
+  deterministic and benchmark settings, providing finer control over convolution execution.
 
-- Added float8 support for the DeepSpeed extension, allowing for decreased
-  memory footprint and increased throughput in training and inference workloads.
+- rocSOLVER now used for Cholesky inversion operations, providing improved numerical stability 
+  and performance for linear algebra workloads.
 
-- ``torch.nn.functional.scaled_dot_product_attention`` now calling optimized
-  flash attention kernel automatically.
+- MI355X GPU testing enabled in CI.
 
-Key features and enhancements for PyTorch 2.7/2.8 with ROCm 7.0
+Key features and enhancements for PyTorch 2.7/2.8 with ROCm 7.1.1
 ================================================================================
 
 - Enhanced TunableOp framework: Introduces ``tensorfloat32`` support for