diff --git a/stacks/vllm/.env.example b/stacks/vllm/.env.example
index ffdc53d..a9da0c3 100644
--- a/stacks/vllm/.env.example
+++ b/stacks/vllm/.env.example
@@ -38,9 +38,19 @@ RERANK_MODEL=Qwen/Qwen3-Reranker-0.6B
 #   EMBED  0.07  (~3.4 GB) — 0.6B Qwen3 embed @8k; 1.1GB weights + ~2GB KV (~3x)
 #   RERANK 0.07  (~3.4 GB) — 0.6B Qwen3 rerank @8k; comfortable
 #   REWARD 0.18  (~8.6 GB) — 8B Skywork AWQ @16k; 4.4GB weights + ~3.5GB KV (~1.5x)
-EMBED_GPU_MEM_UTIL=0.07
-RERANK_GPU_MEM_UTIL=0.07
-REWARD_GPU_MEM_UTIL=0.18
+#
+# RETUNED 2026-06-12 for the Ada->Blackwell swap (cards are now 96 GB, so the
+# Ada-era fractions reserved ~2x the bytes for the same models). Empirically
+# re-floored: util climbed in 0.01 steps until each service was stable under
+# 20x parallel inference.
+#   embed/rerank 0.05 (~4.8 GB ea) — the load-floor for the 0.6B models (0.04
+#     OOMs on engine init; their footprint is fixed weights+context, not KV).
+#   reward 0.10 (~9.6 GB) — the real over-provision was here (0.18 -> 0.10).
+# Net: ~11 GB freed on GPU 1. (Fractions are of TOTAL card VRAM — re-floor if
+# the cards change again.)
+EMBED_GPU_MEM_UTIL=0.05
+RERANK_GPU_MEM_UTIL=0.05
+REWARD_GPU_MEM_UTIL=0.10
 
 # Context length caps — lower these if VRAM is tight.
 # Qwen3-Embedding supports up to 32k; reranker up to 32k.