diff --git a/miles/backends/megatron_utils/update_weight/update_weight_from_tensor.py b/miles/backends/megatron_utils/update_weight/update_weight_from_tensor.py
index dce9dc865c..34002d1f0e 100644
--- a/miles/backends/megatron_utils/update_weight/update_weight_from_tensor.py
+++ b/miles/backends/megatron_utils/update_weight/update_weight_from_tensor.py
@@ -195,7 +195,7 @@ def update_weights(self) -> None:
             if (
                 not skip_base_sync
                 and self.quantization_config
-                and self.quantization_config["quant_method"] in ["compressed-tensors"]
+                and self.quantization_config["quant_method"] in ["compressed-tensors", "fp8"]
             ):
                 post_process_weights(
                     rollout_engines=self.rollout_engines,
diff --git a/scripts/run_qwen3_30b_a3b.py b/scripts/run_qwen3_30b_a3b.py
index cb9e225f7c..110ab4ee86 100644
--- a/scripts/run_qwen3_30b_a3b.py
+++ b/scripts/run_qwen3_30b_a3b.py
@@ -13,7 +13,7 @@ class ScriptArgs(U.ExecuteTrainConfig):
     model_name: str = "Qwen3-30B-A3B"
     megatron_model_type: str = "qwen3-30B-A3B"
     num_gpus_per_node: int | None = None
-    hardware: Literal["H100", "B200", "B300", "GB200", "GB300"] = "H100"
+    hardware: Literal["H100", "B200", "B300", "GB200", "GB300", "MI350X", "MI355X"] = "H100"
     enable_eval: bool = True
     extra_args: str = ""
     data_dir: str = "/root/datasets"
@@ -205,6 +205,23 @@ def execute(args: ScriptArgs):
                 misc_env_vars |= {
                     "NVTE_FP8_BLOCK_SCALING_FP32_SCALES": "1",
                 }
+            case "MI350X" | "MI355X":
+                # ROCm gfx950: blockwise FP8 via ported Triton kernels.
+                # ROCm has no wgrad fusion yet, so turn off gradient-accumulation-fusion.
+                misc_args += (
+                    "--transformer-impl transformer_engine "
+                    "--bf16 "
+                    "--fp8-format e4m3 "
+                    "--fp8-recipe blockwise "
+                    "--no-gradient-accumulation-fusion "
+                )
+                misc_env_vars |= {
+                    "NVTE_FP8_BLOCK_SCALING_FP32_SCALES": "1",
+                    "NVTE_ROCM_ENABLE_FP8_BLOCK_SCALING": "1",
+                    # keep Ray from blanking HIP/CUDA visibility for the job entrypoint
+                    "RAY_EXPERIMENTAL_NOSET_HIP_VISIBLE_DEVICES": "1",
+                    "RAY_EXPERIMENTAL_NOSET_CUDA_VISIBLE_DEVICES": "1",
+                }
 
     if args.enable_megatron_bridge:
         misc_args += "--megatron-to-hf-mode bridge "
@@ -268,6 +285,24 @@ def execute(args: ScriptArgs):
                 )
             else:
                 sglang_args += "--rollout-num-gpus-per-engine 4 " "--sglang-cuda-graph-max-bs 512 "
+        case ("MI350X" | "MI355X", 1):
+            perf_args += (
+                "--tensor-model-parallel-size 1 "
+                "--sequence-parallel "
+                "--pipeline-model-parallel-size 2 "
+                "--context-parallel-size 2 "
+                "--expert-model-parallel-size 4 "
+                "--expert-tensor-parallel-size 1 "
+                "--max-tokens-per-gpu 16384 "
+            )
+            sglang_args = (
+                "--rollout-num-gpus-per-engine 2 "
+                "--sglang-mem-fraction-static 0.7 "
+                "--sglang-max-running-requests 512 "
+            )
+            optimizer_args += (
+                "--optimizer-cpu-offload " "--overlap-cpu-optimizer-d2h-h2d " "--use-precision-aware-optimizer "
+            )
         case _:
             raise NotImplementedError