diff --git a/nvidia/dgx-dashboard/README.md b/nvidia/dgx-dashboard/README.md
index 9f15eca..dd7a5a6 100644
--- a/nvidia/dgx-dashboard/README.md
+++ b/nvidia/dgx-dashboard/README.md
@@ -40,10 +40,6 @@ You will learn how to access and use the DGX Dashboard on your DGX Spark device.
 * **Duration:** 15-30 minutes for complete walkthrough including sample AI workload
 * **Risk level:** Low - Web interface operations with minimal system impact
 * **Rollback:** Stop JupyterLab instances through dashboard interface; no permanent system changes made during normal usage.
-* DGX Spark uses a Unified Memory Architecture (UMA), which enables dynamic memory sharing between the GPU and CPU. With many applications still updating to take advantage of UMA, you may encounter memory issues even when within the memory capacity of DGX Spark. If that happens, manually flush the buffer cache with:
-```bash
-sudo sh -c 'sync; echo 3 > /proc/sys/vm/drop_caches'
-```
 
 ## Instructions