diff --git a/python/sglang/srt/layers/attention/dsv4/unified_kv_kernels/paged_prefill.py b/python/sglang/srt/layers/attention/dsv4/unified_kv_kernels/paged_prefill.py
index e384bc25e..cb35f5d0e 100644
--- a/python/sglang/srt/layers/attention/dsv4/unified_kv_kernels/paged_prefill.py
+++ b/python/sglang/srt/layers/attention/dsv4/unified_kv_kernels/paged_prefill.py
@@ -46,12 +46,14 @@ import torch
 import triton
 import triton.language as tl
 
+from sglang.srt.utils.common import is_gfx95_supported
+
 # OPUS gfx950 paged-prefill kernel is preferred when importable; otherwise fall
 # back to the Triton implementation below.
 try:
     from aiter.ops.pa_sparse_prefill_opus import pa_sparse_prefill_opus
 
-    _HAS_OPUS = True
+    _HAS_OPUS = is_gfx95_supported()
 except ImportError:
     pa_sparse_prefill_opus = None
     _HAS_OPUS = False
diff --git a/python/sglang/srt/mem_cache/memory_pool.py b/python/sglang/srt/mem_cache/memory_pool.py
index 27a0d237f..85bd9a798 100644
--- a/python/sglang/srt/mem_cache/memory_pool.py
+++ b/python/sglang/srt/mem_cache/memory_pool.py
@@ -863,7 +863,7 @@ class KVCache(abc.ABC):
         self.page_size = page_size
         self.dtype = dtype
         self.device = device
-        if dtype in (torch.float8_e5m2, torch.float8_e4m3fn):
+        if dtype in (torch.float8_e5m2, torch.float8_e4m3fn, torch.float8_e4m3fnuz):
             # NOTE: Store as torch.uint8 because Tensor.index_put is not implemented for torch.float8_e5m2
             self.store_dtype = torch.uint8
         else: