diff --git a/2024-HPCIC-AWS/JupyterNotebook/tutorial/supplementary/dyad/dyad_dlio.ipynb b/2024-HPCIC-AWS/JupyterNotebook/tutorial/supplementary/dyad/dyad_dlio.ipynb
index b291abf..dfcb5a6 100644
--- a/2024-HPCIC-AWS/JupyterNotebook/tutorial/supplementary/dyad/dyad_dlio.ipynb
+++ b/2024-HPCIC-AWS/JupyterNotebook/tutorial/supplementary/dyad/dyad_dlio.ipynb
@@ -378,7 +378,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "!flux run -N {num_nodes} -o cpu-affinity=on --tasks-per-node={workers_per_node} --env-file=dlio_env.txt \\\n",
+    "!flux run -N {num_nodes} -o cpu-affinity=off --tasks-per-node={workers_per_node} --env-file=dlio_env.txt \\\n",
     "    dlio_benchmark --config-dir={dlio_extensions_dir}/configs workload={workload} \\\n",
     "        ++workload.dataset.data_folder={initial_data_directory} ++workload.workflow.generate_data=False \\\n",
     "        ++workload.workflow.train=True\n",
@@ -490,7 +490,7 @@
     "3. Deep Learning I/O (DLIO) benchmark\n",
     "4. Accelerating distributed DL training\n",
     "\n",
-    "To continue with the tutorial, open [Module 4](./04_flux_tutorial_conclusions.ipynb)"
+    "<!--To continue with the tutorial, open [Module 4](./04_flux_tutorial_conclusions.ipynb)-->"
    ]
   },
   {