diff --git a/scripts/diloco/run_diloco.sh b/scripts/diloco/run_diloco.sh
new file mode 100755
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+++ b/scripts/diloco/run_diloco.sh
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+#!/bin/bash
+
+# This script launches a DiLoCo pre-training workload on a GKE cluster using XPK.
+
+set -e
+
+# --- Environment Setup ---
+if ! pip show xpk &> /dev/null; then
+    echo "xpk not found in the environment. Please install it by running:"
+    echo "uv pip install -e .[runner] --resolution=lowest"
+    exit 1
+fi
+
+# --- Environment Variables ---
+export PROJECT_ID="${PROJECT_ID:-cloud-tpu-multipod-dev}"
+export CLUSTER_NAME="${CLUSTER_NAME:-v5p-128-bodaborg-europe-west4-b}"
+export ZONE="${ZONE:-europe-west4}"
+export RESERVATION="${RESERVATION:-cloudtpu-20240716121201-595617744}"
+export BASE_OUTPUT_DIRECTORY="${BASE_OUTPUT_DIRECTORY:-gs://chriszuo-maxtext-logs}" # change to your own GCS bucket for logging and checkpointing
+export DATASET_PATH="${DATASET_PATH:-gs://chriszuo-maxtext-datasets}" # change to your own GSC bucket for datasets. Make sure datasets exists
+export DOCKER_IMAGE="${DOCKER_IMAGE:-gcr.io/tpu-prod-env-multipod/maxtext_jax_stable:2026-06-04}" # should update if later versions come up
+export TPU_TYPE="${TPU_TYPE:-v5p-128}"  # At least v5p-32 is needed to run Qwen3-30b-a3b. For v5p-8 you may need to decrease the PER_DEVICE_BATCH_SIZE
+export NUM_SLICES="${NUM_SLICES:-2}"  # you need at least two slices to let diloco take effect
+export WORKLOAD_NAME="${WORKLOAD_NAME:-$(whoami)-diloco-v5p-$(date +%Y%m%d-%H%M%S)}" # this will be the name of run, for logging purposes
+
+# --- Hyperparameters ---
+export MODEL_NAME="${MODEL_NAME:-qwen3-30b-a3b}"
+export PER_DEVICE_BATCH_SIZE="${PER_DEVICE_BATCH_SIZE:-8.0}"
+export MAX_TARGET_LENGTH="${MAX_TARGET_LENGTH:-2048}"
+export DILOCO_SYNC_PERIOD="${DILOCO_SYNC_PERIOD:-10}"
+export DILOCO_OUTER_LR="${DILOCO_OUTER_LR:-0.3}"
+export DILOCO_OUTER_MOMENTUM="${DILOCO_OUTER_MOMENTUM:-0.9}"
+export TRAINING_STEPS="${TRAINING_STEPS:-100}"
+
+# --- Variable Validation ---
+if [ -z "$PROJECT_ID" ] || [ -z "$CLUSTER_NAME" ] || [ -z "$ZONE" ]; then
+    echo "Error: PROJECT_ID, CLUSTER_NAME, or ZONE is not set."
+    exit 1
+fi
+
+if [ -z "$BASE_OUTPUT_DIRECTORY" ] || [ -z "$DATASET_PATH" ]; then
+    echo "Error: BASE_OUTPUT_DIRECTORY or DATASET_PATH is not set."
+    exit 1
+fi
+
+if [ "$NUM_SLICES" -lt 2 ]; then
+    echo "Warning: NUM_SLICES is less than 2. DiLoCo will not take effect."
+fi
+
+# MaxText command
+MAXTEXT_COMMAND="cd /deps/src/ && python3 maxtext/trainers/pre_train/train.py \
+maxtext/configs/base.yml \
+run_name=$WORKLOAD_NAME \
+save_config_to_gcs=true \
+base_output_directory=$BASE_OUTPUT_DIRECTORY \
+dataset_path=$DATASET_PATH \
+dataset_name='c4/en:3.0.1' \
+eval_dataset_name='c4/en:3.0.1' \
+model_name=$MODEL_NAME \
+tokenizer_type=huggingface \
+tokenizer_path=maxtext/assets/tokenizers/qwen3-tokenizer \
+per_device_batch_size=$PER_DEVICE_BATCH_SIZE \
+max_target_length=$MAX_TARGET_LENGTH \
+enable_diloco=true \
+dcn_diloco_parallelism=$NUM_SLICES \
+diloco_sync_period=$DILOCO_SYNC_PERIOD \
+diloco_outer_lr=$DILOCO_OUTER_LR \
+diloco_outer_momentum=$DILOCO_OUTER_MOMENTUM \
+steps=$TRAINING_STEPS"
+
+# Workload Creation
+echo "Submitting DiLoCo job to XPK..."
+xpk workload create \
+  --cluster="$CLUSTER_NAME" \
+  --project="$PROJECT_ID" \
+  --reservation="$RESERVATION" \
+  --zone="$ZONE" \
+  --tpu-type="$TPU_TYPE" \
+  --num-slices="$NUM_SLICES" \
+  --docker-image="${DOCKER_IMAGE}" \
+  --workload="${WORKLOAD_NAME}" \
+  --command="${MAXTEXT_COMMAND}"