diff --git a/test_runner/regress/test_gc_feedback.py b/test_runner/regress/test_gc_feedback.py
deleted file mode 100644
index 7ec4430d14..0000000000
--- a/test_runner/regress/test_gc_feedback.py
+++ /dev/null
@@ -1,68 +0,0 @@
-import pytest
-from fixtures.log_helper import log
-from fixtures.neon_fixtures import NeonEnvBuilder
-
-
-@pytest.mark.timeout(10000)
-def test_gc_feedback(neon_env_builder: NeonEnvBuilder):
-    """
-    Test that GC is able to collect all old layers even if them are forming
-    "stairs" and there are not three delta layers since last image layer.
-
-    Information about image layers needed to collect old layers should
-    be propagated by GC to compaction task which should take in in account
-    when make a decision which new image layers needs to be created.
-    """
-    env = neon_env_builder.init_start()
-    client = env.pageserver.http_client()
-
-    tenant_id, _ = env.neon_cli.create_tenant(
-        conf={
-            # disable default GC and compaction
-            "gc_period": "1000 m",
-            "compaction_period": "0 s",
-            "gc_horizon": f"{1024 ** 2}",
-            "checkpoint_distance": f"{1024 ** 2}",
-            "compaction_target_size": f"{1024 ** 2}",
-            # set PITR interval to be small, so we can do GC
-            "pitr_interval": "10 s",
-            # "compaction_threshold": "3",
-            # "image_creation_threshold": "2",
-        }
-    )
-    pg = env.postgres.create_start("main", tenant_id=tenant_id)
-    timeline_id = pg.safe_psql("show neon.timeline_id")[0][0]
-    n_steps = 10
-    n_update_iters = 100
-    step_size = 10000
-    with pg.cursor() as cur:
-        cur.execute("SET statement_timeout='1000s'")
-        cur.execute(
-            "CREATE TABLE t(pk bigint primary key, count bigint default 0, payload text default repeat(' ', 100))  with (fillfactor=50)"
-        )
-        for step in range(n_steps):
-            cur.execute(
-                f"INSERT INTO t (pk) values (generate_series({step*step_size+1},{(step+1)*step_size}))"
-            )
-            for i in range(n_update_iters):
-                cur.execute(
-                    f"UPDATE t set count=count+1 where pk BETWEEN {(step-1)*step_size+1+i*step_size//n_update_iters} AND {step*step_size+i*step_size//n_update_iters}"
-                )
-                cur.execute("vacuum t")
-
-            # cur.execute("select pg_table_size('t')")
-            # logical_size = cur.fetchone()[0]
-            logical_size = client.timeline_detail(tenant_id, timeline_id)["current_logical_size"]
-            log.info(f"Logical storage size  {logical_size}")
-
-            client.timeline_checkpoint(tenant_id, timeline_id)
-
-            # Do compaction and GC
-            client.timeline_gc(tenant_id, timeline_id, 0)
-            client.timeline_compact(tenant_id, timeline_id)
-            # One more iteration to check that no excessive image layers are generated
-            client.timeline_gc(tenant_id, timeline_id, 0)
-            client.timeline_compact(tenant_id, timeline_id)
-
-            physical_size = client.timeline_detail(tenant_id, timeline_id)["current_physical_size"]
-            log.info(f"Physical storage size {physical_size}")