From c2414e48e6ffc82fe6319c6c7c5453f72399770b Mon Sep 17 00:00:00 2001
From: Ev Lacey <github@everettlacey.com>
Date: Tue, 2 Dec 2025 16:34:35 -0800
Subject: [PATCH] Clarify cluster status verification steps

Updated instructions for verifying cluster status and finding the vLLM container name.
---
 nvidia/vllm/README.md | 10 ++++++----
 1 file changed, 6 insertions(+), 4 deletions(-)

diff --git a/nvidia/vllm/README.md b/nvidia/vllm/README.md
index 390d2d6..658519f 100644
--- a/nvidia/vllm/README.md
+++ b/nvidia/vllm/README.md
@@ -213,12 +213,14 @@ bash run_cluster.sh $VLLM_IMAGE $HEAD_NODE_IP --worker ~/.cache/huggingface \
 > **Note:** Replace `<NODE_1_IP_ADDRESS>` with the actual IP address from Node 1. If using automatic link-local addressing, this will be something like `169.254.x.x`. If using manual static IPs, it will be `192.168.100.10`.
 
 ## Step 6. Verify cluster status
-
 Confirm both nodes are recognized and available in the Ray cluster.
-
 ```bash
-## On Node 1 (head node)
-docker exec node ray status
+# On Node 1 (head node)
+# Find the vLLM container name (it will be node-<random_number>)
+export VLLM_CONTAINER=$(docker ps --format '{{.Names}}' | grep -E '^node-[0-9]+$')
+echo "Found container: $VLLM_CONTAINER"
+
+docker exec $VLLM_CONTAINER ray status
 ```
 
 Expected output shows 2 nodes with available GPU resources.