diff --git a/python/sglang/kernels/ops/quantization/fp8_kernel.py b/python/sglang/kernels/ops/quantization/fp8_kernel.py
index f232e548c..2c0f5b360 100644
--- a/python/sglang/kernels/ops/quantization/fp8_kernel.py
+++ b/python/sglang/kernels/ops/quantization/fp8_kernel.py
@@ -272,7 +272,10 @@ def _per_token_group_quant_8bit_raw(
         if dtype == torch.int8:
             bit8_max = 127.0
         else:
-            bit8_max = 224.0
+            # fp8 range is device-dependent on ROCm: e4m3fnuz (max 224.0) on
+            # gfx94x vs e4m3fn (max 448.0) on gfx95x. Use the device-resolved
+            # module constant instead of hardcoding the gfx94x value.
+            bit8_max = fp8_max
         bit8_min = -bit8_max  # TODO incorrect for int8
     else:
         if dtype == torch.int8:
diff --git a/test/registered/unit/layers/quantization/test_fp8_kernel_hip_max.py b/test/registered/unit/layers/quantization/test_fp8_kernel_hip_max.py
new file mode 100644
index 000000000..c30b28f76
--- /dev/null
+++ b/test/registered/unit/layers/quantization/test_fp8_kernel_hip_max.py
@@ -0,0 +1,61 @@
+"""AMD/gfx950 (MI355X) test for the ROCm fp8 range used by per-token-group quant.
+
+ROCm fp8 is device-dependent: e4m3fnuz (max 224.0) on gfx94x (MI300) vs e4m3fn
+(max 448.0) on gfx95x (MI355X). ``_per_token_group_quant_8bit_raw`` previously
+hardcoded 224.0 for *all* ROCm devices, which silently halved the usable fp8
+range on gfx95x -- the per-group scale was computed as ``absmax / 224`` instead
+of ``absmax / 448``, wasting one binade of e4m3fn precision.
+
+This runs the real Triton quant kernel on the actual GPU (no mocking): it feeds a
+group whose absmax is exactly the e4m3fn max (448.0) and asserts the emitted
+per-group scale is 1.0 (i.e. ``absmax / 448``). On the unfixed code the scale is
+``448 / 224 = 2.0`` and the test fails. On gfx94x this bug does not exist (224 is
+correct), so the test is gated to gfx95x where it is a genuine bug-catcher.
+"""
+
+import unittest
+
+import torch
+
+from sglang.srt.utils import is_gfx95_supported, is_hip
+from sglang.test.ci.ci_register import register_amd_ci
+from sglang.test.test_utils import CustomTestCase
+
+register_amd_ci(est_time=20, suite="stage-b-test-1-gpu-small-amd-mi35x")
+
+# e4m3fn (max 448.0) only exists on gfx95x; on gfx94x fp8 is e4m3fnuz (max 224.0).
+_RUNNABLE = is_hip() and is_gfx95_supported()
+
+# e4m3fn representable max; the value the kernel must scale/clamp against on gfx95x.
+E4M3FN_MAX = 448.0
+
+
+@unittest.skipUnless(_RUNNABLE, "requires HIP gfx950 (MI355X, e4m3fn fp8)")
+class TestPerTokenGroupQuant8BitHipMax(CustomTestCase):
+    def test_hip_fp8_scale_uses_e4m3fn_max_448(self):
+        from sglang.kernels.ops.quantization.fp8_kernel import (
+            _per_token_group_quant_8bit_raw,
+            fp8_dtype,
+            fp8_max,
+        )
+
+        # Sanity: on gfx95x the module must resolve to e4m3fn / 448.
+        self.assertIs(fp8_dtype, torch.float8_e4m3fn)
+        self.assertEqual(fp8_max, E4M3FN_MAX)
+
+        group_size = 8
+        # One group whose absmax is exactly the e4m3fn max.
+        x = torch.zeros((1, group_size), dtype=torch.bfloat16, device="cuda")
+        x[0, 0] = E4M3FN_MAX
+
+        _, x_s = _per_token_group_quant_8bit_raw(
+            x, group_size=group_size, dtype=fp8_dtype
+        )
+
+        # scale == absmax / device_max. Correct: 448/448 = 1.0. Unfixed: 448/224 = 2.0.
+        scale = x_s.float().flatten()[0].item()
+        self.assertAlmostEqual(scale, 1.0, places=5)
+
+
+if __name__ == "__main__":
+    unittest.main()