diff --git a/docs/serving/expert_parallel_deployment.md b/docs/serving/expert_parallel_deployment.md
index f8701870864dc..494d2ad021e71 100644
--- a/docs/serving/expert_parallel_deployment.md
+++ b/docs/serving/expert_parallel_deployment.md
@@ -158,10 +158,10 @@ vllm serve Qwen/Qwen3-30B-A3B \
 
 ### Memory Footprint Overhead
 
-EPLB uses redundant experts to that need to fit in GPU memory. This means that EPLB may not be a good fit for memory constrained environments or when KV cache space is at a premium.
+EPLB uses redundant experts that need to fit in GPU memory. This means that EPLB may not be a good fit for memory constrained environments or when KV cache space is at a premium.
 
 This overhead equals `NUM_MOE_LAYERS * BYTES_PER_EXPERT * (NUM_TOTAL_EXPERTS + NUM_REDUNDANT_EXPERTS) ÷ NUM_EP_RANKS`.
-For DeepSeekV3, this is approximately `2.4 GB` for one redundant expert per rank.
+For DeepSeekV3, this is approximately `2.4 GB` for one redundant expert per EP rank.
 
 ### Example Command