diff --git a/ci/pytorch.sh b/ci/pytorch.sh
index bb972dfa6..30bbb0d2a 100755
--- a/ci/pytorch.sh
+++ b/ci/pytorch.sh
@@ -93,6 +93,7 @@ run_test_config_mgpu(){
     #run in parallel on CI and it affects timing
     run_default_fa 1 test_gemm_sm_count.py
     run_default_fa 3 test_sanity_import.py
+    run_default_fa 3 distributed/test_cast_master_weights_to_fp8.py
     run_default_fa 2 distributed/test_fusible_ops.py
     run_default_fa 2 distributed/test_numerics.py
     run_default_fa 1 distributed/test_torch_fsdp2.py
diff --git a/tests/pytorch/distributed/test_cast_master_weights_to_fp8.py b/tests/pytorch/distributed/test_cast_master_weights_to_fp8.py
index 0ff98e6cb..a8fca0577 100644
--- a/tests/pytorch/distributed/test_cast_master_weights_to_fp8.py
+++ b/tests/pytorch/distributed/test_cast_master_weights_to_fp8.py
@@ -1,4 +1,6 @@
-# Copyright (c) 2022-2025, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# This file was modified for portability to AMDGPU.
+# Copyright (c) 2026, Advanced Micro Devices, Inc. All rights reserved.
+# Copyright (c) 2022-2026, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 #
 # See LICENSE for license information.
 
@@ -717,7 +719,9 @@ def run_parallel_tests() -> None:
 @pytest.mark.parametrize("world_size", [2])
 def test_cast_master_weights_to_fp8(world_size: int) -> None:
     """Launch parallel job that runs parallel tests"""
-    python_exe = pathlib.Path(sys.executable).resolve()
+    # ROCm: Use executable as-is; do not resolve() or a venv symlink may point to system
+    # Python which does not have torch/site-packages.
+    python_exe = pathlib.Path(sys.executable)
     current_file = pathlib.Path(__file__).resolve()
     command = [
         python_exe,
diff --git a/transformer_engine/pytorch/tensor/utils.py b/transformer_engine/pytorch/tensor/utils.py
index 9773e17e6..00b2e5dc1 100644
--- a/transformer_engine/pytorch/tensor/utils.py
+++ b/transformer_engine/pytorch/tensor/utils.py
@@ -1,4 +1,6 @@
-# Copyright (c) 2022-2025, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# This file was modified for portability to AMDGPU
+# Copyright (c) 2026, Advanced Micro Devices, Inc. All rights reserved.
+# Copyright (c) 2022-2026, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 #
 # See LICENSE for license information.
 
@@ -15,7 +17,7 @@
 from .mxfp8_tensor import MXFP8Tensor, MXFP8Quantizer
 from .float8_blockwise_tensor import Float8BlockwiseQTensor, Float8BlockQuantizer
 from ..optimizers.multi_tensor_apply import multi_tensor_applier
-from ..utils import is_non_tn_fp8_gemm_supported
+from ..utils import is_non_tn_fp8_gemm_supported, is_fp8_fnuz
 
 
 def replace_raw_data(tensor: QuantizedTensor, new_raw_data: torch.Tensor):
@@ -293,7 +295,7 @@ def _cast_master_weights_to_fp8_current_scaling(
     # Step 3: Update scales and scale_invs.
     # ---------------------------------------------------------------------------------------------
     if fp8_dtype == tex.DType.kFloat8E4M3:
-        max_fp8 = 448.0
+        max_fp8 = 240.0 if is_fp8_fnuz() else 448.0
     elif fp8_dtype == tex.DType.kFloat8E5M2:
         max_fp8 = 57344.0
     else:
@@ -424,7 +426,7 @@ def _cast_master_weights_to_fp8_blockwise_scaling(
     # Step 3: Update scales and scale_invs.
     # ---------------------------------------------------------------------------------------------
     if fp8_dtype == tex.DType.kFloat8E4M3:
-        max_fp8 = 448.0
+        max_fp8 = 240.0 if is_fp8_fnuz() else 448.0
     elif fp8_dtype == tex.DType.kFloat8E5M2:
         max_fp8 = 57344.0
     else: