diff --git a/dags/gcs_bucket.py b/dags/gcs_bucket.py
index c00f2902..315fa0b2 100644
--- a/dags/gcs_bucket.py
+++ b/dags/gcs_bucket.py
@@ -19,6 +19,7 @@
 IMAGENET_DIR = "gs://ml-auto-solutions/data/imagenet"
 TFDS_DATA_DIR = "gs://ml-auto-solutions/data/tfds-data"
 PAX_DIR = "gs://cloud-tpu-checkpoints/pax"
+MAXTEXT_DIR = "gs://max-datasets-rogue"
 
 # GCS bucket for output
 BENCHMARK_OUTPUT_DIR = "gs://ml-auto-solutions/output/benchmark"
diff --git a/dags/multipod/configs/maxtext_gke_config.py b/dags/multipod/configs/maxtext_gke_config.py
new file mode 100644
index 00000000..2dd81bab
--- /dev/null
+++ b/dags/multipod/configs/maxtext_gke_config.py
@@ -0,0 +1,65 @@
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#      http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+"""Utilities to construct configs for maxtext DAG on GKE."""
+
+from xlml.apis import gcp_config, metric_config, task, test_config
+from dags import test_owner
+from dags.vm_resource import TpuVersion, Project, ClusterName
+from typing import Iterable
+
+
+def get_maxtext_gke_config(
+    tpu_version: TpuVersion,
+    tpu_cores: int,
+    tpu_zone: str,
+    time_out_in_min: int,
+    test_name: str,
+    docker_image: str,
+    test_owner: str,
+    run_model_cmds: Iterable[str],
+    cluster_name: str = ClusterName.V4_8_MULTISLICE_CLUSTER.value,
+    project_name: str = Project.TPU_PROD_ENV_MULTIPOD.value,
+    num_slices: int = 1,
+    dataset_name: metric_config.DatasetOption = metric_config.DatasetOption.XLML_DATASET,
+    dataset_project: str = Project.CLOUD_ML_AUTO_SOLUTIONS.value,
+    composer_project: str = Project.CLOUD_ML_AUTO_SOLUTIONS.value,
+) -> task.TpuXpkTask:
+  job_gcp_config = gcp_config.GCPConfig(
+      project_name=project_name,
+      zone=tpu_zone,
+      dataset_name=dataset_name,
+      dataset_project=dataset_project,
+      composer_project=composer_project,
+  )
+
+  job_test_config = test_config.TpuGkeTest(
+      test_config.Tpu(
+          version=tpu_version,
+          cores=tpu_cores,
+      ),
+      test_name=test_name,
+      run_model_cmds=run_model_cmds,
+      set_up_cmds=None,
+      time_out_in_min=time_out_in_min,
+      task_owner=test_owner,
+      num_slices=num_slices,
+      cluster_name=cluster_name,
+      docker_image=docker_image,
+  )
+
+  return task.TpuXpkTask(
+      task_test_config=job_test_config,
+      task_gcp_config=job_gcp_config,
+  )
diff --git a/dags/multipod/maxtext_convergence.py b/dags/multipod/maxtext_convergence.py
new file mode 100644
index 00000000..9262c14a
--- /dev/null
+++ b/dags/multipod/maxtext_convergence.py
@@ -0,0 +1,66 @@
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#      http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+"""
+A DAG to run MaxText convergence tests for both bf16 and int8.
+"""
+import datetime
+from airflow import models
+from dags import composer_env, test_owner, gcs_bucket
+from dags.vm_resource import TpuVersion, Zone, DockerImage, ClusterName
+from dags.multipod.configs import maxtext_gke_config
+from dags.multipod.configs.common import SetupMode
+from xlml.apis import gcp_config, metric_config, task, test_config
+
+# Run once a day at 6 am UTC (10 pm PST)
+SCHEDULED_TIME = "0 6 * * *" if composer_env.is_prod_env() else None
+
+with models.DAG(
+    dag_id="maxtext_convergence",
+    schedule=SCHEDULED_TIME,
+    tags=["multipod_team", "maxtext", "stable"],
+    start_date=datetime.datetime(2024, 3, 1),
+    catchup=False,
+    concurrency=2,
+) as dag:
+  current_time = datetime.datetime.now()
+  current_date = current_time.strftime("%Y-%m-%d")
+  base_output_directory = (
+      f"{gcs_bucket.XLML_OUTPUT_DIR}/maxtext/stable/automated/{current_date}"
+  )
+  dataset_path = gcs_bucket.MAXTEXT_DIR
+
+  steps = 10200  # Half Chinchilla
+  loss_threshold = 2.7
+
+  base_convergence_command = f"bash end_to_end/test_convergence_1b_params.sh OUTPUT_PATH={base_output_directory} DATASET_PATH={dataset_path} LOSS_THRESHOLD={loss_threshold} STEPS={steps}"
+  convergence_tests = {
+      "maxtext-convergence-bf16": ((base_convergence_command),),
+      "maxtext-convergence-int8": (
+          (f"export M_QUANTIZATION=int8; {base_convergence_command}"),
+      ),
+  }
+
+  for test_name, run_command in convergence_tests.items():
+    maxtext_v4_configs_test = maxtext_gke_config.get_maxtext_gke_config(
+        tpu_version=TpuVersion.V4,
+        tpu_cores=128,
+        tpu_zone=Zone.US_CENTRAL2_B.value,
+        cluster_name=ClusterName.V4_128_MULTISLICE_CLUSTER.value,
+        time_out_in_min=300,
+        test_name=test_name,
+        run_model_cmds=run_command,
+        docker_image=DockerImage.MAXTEXT_JAX_STABLE.value,
+        test_owner=test_owner.MATT_D,
+    ).run()
diff --git a/dags/test_owner.py b/dags/test_owner.py
index feb21745..53490ff8 100644
--- a/dags/test_owner.py
+++ b/dags/test_owner.py
@@ -33,6 +33,7 @@
 TONY_C = "Tony C."
 JON_B = "Jon B."
 RAYMOND_Z = "Raymond Z."
+MATT_D = "Matt D."
 
 # MLCompass
 ORTI_B = "Orti B."
diff --git a/dags/vm_resource.py b/dags/vm_resource.py
index 5c01cc49..01814fe2 100644
--- a/dags/vm_resource.py
+++ b/dags/vm_resource.py
@@ -15,6 +15,7 @@
 """The file for common projects, zone, and runtime versions."""
 
 import enum
+import datetime
 
 
 V5_NETWORKS_PREFIX = "projects/tpu-prod-env-automated"
@@ -116,6 +117,7 @@ class ClusterName(enum.Enum):
   V4_32_CLUSTER = "mas-v4-32"
   V5E_4_CLUSTER = "mas-v5e-4"
   V5E_16_CLUSTER = "mas-v5e-16"
+  V4_8_MULTISLICE_CLUSTER = "v4-8-maxtext"
   V4_128_MULTISLICE_CLUSTER = "v4-bodaborg"
   V5E_16_MULTISLICE_CLUSTER = "v5e-16-bodaborg"
   V5E_256_MULTISLICE_CLUSTER = "v5e-256-bodaborg"
@@ -126,3 +128,5 @@ class DockerImage(enum.Enum):
 
   XPK_JAX_TEST = "gcr.io/cloud-ml-auto-solutions/xpk_jax_test:latest"
   XPK_MAXTEXT_TEST = "gcr.io/tpu-prod-env-multipod/xpk_maxtext_test:latest"
+  MAXTEXT_JAX_STABLE = f"gcr.io/tpu-prod-env-multipod/maxtext_jax_stable:{datetime.datetime.today().strftime('%Y-%m-%d')}"
+  MAXTEXT_JAX_NIGHTLY = f"gcr.io/tpu-prod-env-multipod/maxtext_jax_nightly:{datetime.datetime.today().strftime('%Y-%m-%d')}"