diff --git a/python/sglang/srt/disaggregation/nixl/conn.py b/python/sglang/srt/disaggregation/nixl/conn.py
index 97520499c310..41b480d947b8 100644
--- a/python/sglang/srt/disaggregation/nixl/conn.py
+++ b/python/sglang/srt/disaggregation/nixl/conn.py
@@ -743,8 +743,12 @@ def send_kvcache_slice(
             num_heads_to_send = dst_heads_per_rank
             dst_head_start_offset = 0
 
+        # torch.int exceeds np.int64 range on Intel XPU (addresses have bit 63 set, e.g.
+        # 0xffff81ab54e01000). Use np.uint64 to prevent overflow on XPU.
+        kv_data_ptrs = np.array(self.kv_args.kv_data_ptrs, dtype=np.uint64)
+        dst_kv_ptrs = np.array(dst_kv_ptrs, dtype=np.uint64)
         src_k_ptrs, src_v_ptrs, dst_k_ptrs, dst_v_ptrs, layers_current_pp_stage = (
-            self.get_mha_kv_ptrs_with_pp(self.kv_args.kv_data_ptrs, dst_kv_ptrs)
+            self.get_mha_kv_ptrs_with_pp(kv_data_ptrs, dst_kv_ptrs)
         )
         # Calculate precise byte offset and length for the sub-slice within the token
         src_head_slice_offset = src_head_start_offset * bytes_per_head_slice_to_send
@@ -765,11 +769,11 @@ def send_kvcache_slice(
             for layer_id in range(layers_current_pp_stage)
         ]
 
-        prefill_indices = np.asarray(prefill_kv_indices, dtype=np.int64)
-        dst_indices = np.asarray(dst_kv_indices, dtype=np.int64)
+        prefill_indices = np.asarray(prefill_kv_indices, dtype=np.uint64)
+        dst_indices = np.asarray(dst_kv_indices, dtype=np.uint64)
         bytes_per_token_prefill = src_kv_item_len // page_size
         bytes_per_token_decode = dst_kv_item_len // page_size
-        token_offsets = np.arange(page_size, dtype=np.int64)
+        token_offsets = np.arange(page_size, dtype=np.uint64)
 
         src_addrs = []
         dst_addrs = []