diff --git a/tests/end2end/test_end2end_bnn_pynq.py b/tests/end2end/test_end2end_bnn_pynq.py
index 2823dec1fbce9f2e6a5f5f681cf403c205ee0a2d..ddea2dafce02c181a279d9c95759b97dee00a504 100644
--- a/tests/end2end/test_end2end_bnn_pynq.py
+++ b/tests/end2end/test_end2end_bnn_pynq.py
@@ -591,45 +591,6 @@ class TestEnd2End:
         update_dashboard_data(topology, wbits, abits, "board", cfg["board"])
         model.save(get_checkpoint_name(topology, wbits, abits, "build_" + kind))
 
-    @pytest.mark.slow
-    @pytest.mark.vivado
-    @pytest.mark.vitis
-    @pytest.mark.parametrize("kind", ["zynq", "alveo"])
-    def test_build_extweights(self, topology, wbits, abits, kind):
-        if "VITIS_PATH" not in os.environ:
-            pytest.skip("VITIS_PATH not set")
-        prev_chkpt_name = get_checkpoint_name(
-            topology, wbits, abits, "fifodepth_" + kind
-        )
-        model = load_test_checkpoint_or_skip(prev_chkpt_name)
-        # select some FC layers, erase their implementation
-        # and set them to external weights
-        num_extw_layers = 0
-        for node in model.graph.node:
-            if node.op_type == "StreamingFCLayer_Batch":
-                node_inst = getCustomOp(node)
-                simd = node_inst.get_nodeattr("SIMD")
-                pe = node_inst.get_nodeattr("PE")
-                # skip layers which require very large IODMA DWCs
-                if (512 % simd) != 0 or ((pe * simd) % 32) != 0:
-                    continue
-                node_inst.set_nodeattr("code_gen_dir_ipgen", "")
-                node_inst.set_nodeattr("ipgen_path", "")
-                node_inst.set_nodeattr("mem_mode", "external")
-                num_extw_layers += 1
-        if num_extw_layers == 0:
-            pytest.skip("No layers suitable for external weights")
-        # build
-        cfg = get_build_env(kind, target_clk_ns)
-        model = model.transform(cfg["build_fxn"])
-        # check list of interfaces
-        # model = model.transform(AnnotateResources("synth"))
-        # synth_dct = eval(model.get_metadata_prop("res_total_top_synth"))
-        # for (k, v) in synth_dct.items():
-        #     update_dashboard_data(topology, wbits, abits, k, v)
-        # update_dashboard_data(topology, wbits, abits, "board", cfg["board"])
-        model.save(get_checkpoint_name(topology, wbits, abits, "build_" + kind+"_extweights"))
-
     @pytest.mark.parametrize("kind", ["zynq", "alveo"])
     def test_deploy(self, topology, wbits, abits, kind):
         prev_chkpt_name = get_checkpoint_name(topology, wbits, abits, "build_" + kind)