diff --git a/.github/configs/nvidia-master.yaml b/.github/configs/nvidia-master.yaml
index f44a5977f..64c48477f 100644
--- a/.github/configs/nvidia-master.yaml
+++ b/.github/configs/nvidia-master.yaml
@@ -2626,13 +2626,11 @@ dsv4-fp8-h200-vllm:
     - isl: 1024
       osl: 1024
       search-space:
-      - { tp: 8, ep: 1, dp-attn: false, conc-start: 1, conc-end: 256 }
-      - { tp: 8, ep: 8, dp-attn: true, conc-start: 1, conc-end: 256 }
+      - { tp: 8, ep: 8, dp-attn: true, conc-start: 4, conc-end: 64 }
     - isl: 8192
       osl: 1024
       search-space:
-      - { tp: 8, ep: 1, dp-attn: false, conc-start: 1, conc-end: 256 }
-      - { tp: 8, ep: 8, dp-attn: true, conc-start: 1, conc-end: 256 }
+      - { tp: 8, ep: 8, dp-attn: true, conc-start: 4, conc-end: 64 }
 
 # MTP variant of dsv4-fp8-h200-vllm. Uses the canonical v0.20.1 image
 # (the non-MTP entry above is still on the deepseekv4-cu129 tag) and adds
@@ -2650,13 +2648,11 @@ dsv4-fp8-h200-vllm-mtp:
     - isl: 1024
       osl: 1024
       search-space:
-      - { tp: 8, ep: 1, dp-attn: false, conc-start: 1, conc-end: 256, spec-decoding: mtp }
-      - { tp: 8, ep: 8, dp-attn: true, conc-start: 1, conc-end: 256, spec-decoding: mtp }
+      - { tp: 8, ep: 8, dp-attn: true, conc-start: 4, conc-end: 64, spec-decoding: mtp }
     - isl: 8192
       osl: 1024
       search-space:
-      - { tp: 8, ep: 1, dp-attn: false, conc-start: 1, conc-end: 256, spec-decoding: mtp }
-      - { tp: 8, ep: 8, dp-attn: true, conc-start: 1, conc-end: 256, spec-decoding: mtp }
+      - { tp: 8, ep: 8, dp-attn: true, conc-start: 4, conc-end: 64, spec-decoding: mtp }
 
 # DeepSeek-V4-Pro H200 single-node with SGLang (Marlin FP8, TP-only).
 # Pinned to the h200-dgxc-slurm runner pool because the deepseek-v4-hopper
diff --git a/benchmarks/single_node/dsv4_fp8_h200.sh b/benchmarks/single_node/dsv4_fp8_h200.sh
index ba709ac4b..167a50a57 100644
--- a/benchmarks/single_node/dsv4_fp8_h200.sh
+++ b/benchmarks/single_node/dsv4_fp8_h200.sh
@@ -9,7 +9,6 @@ source "$(dirname "$0")/../benchmark_lib.sh"
 check_env_vars \
     MODEL \
     TP \
-    DP_ATTENTION \
     CONC \
     ISL \
     OSL \
@@ -38,29 +37,20 @@ else
     MAX_MODEL_LEN_ARG="--max-model-len 800000"
 fi
 
-# DP_ATTENTION=true runs DP-attention with expert parallel (DP size = TP);
-# DP_ATTENTION=false runs pure tensor parallel.
-PARALLEL_ARGS=(--tensor-parallel-size "$TP" --data-parallel-size 1)
-if [ "${DP_ATTENTION}" = "true" ]; then
-    PARALLEL_ARGS=(--tensor-parallel-size 1 --data-parallel-size "$TP")
-fi
-
-EP_ARGS=()
-if [ "${EP_SIZE:-1}" -gt 1 ]; then
-    EP_ARGS=(--enable-expert-parallel)
-fi
-
 # Start GPU monitoring (power, temperature, clocks every second)
 start_gpu_monitor
 
+# Per the recipe, run with EP + DP=8 (no --tensor-parallel-size flag). TP
+# from the search space is used only for GPU allocation by the runner and
+# as the DP size.
 set -x
 vllm serve $MODEL --host 0.0.0.0 --port $PORT \
 --trust-remote-code \
 --kv-cache-dtype fp8 \
 --block-size 256 \
 --no-enable-prefix-caching \
-"${PARALLEL_ARGS[@]}" \
-"${EP_ARGS[@]}" \
+--enable-expert-parallel \
+--data-parallel-size $TP \
 $MAX_MODEL_LEN_ARG \
 --gpu-memory-utilization 0.95 \
 --max-num-seqs 512 \
diff --git a/benchmarks/single_node/dsv4_fp8_h200_mtp.sh b/benchmarks/single_node/dsv4_fp8_h200_mtp.sh
index b90b3d944..ef0a0a8ad 100755
--- a/benchmarks/single_node/dsv4_fp8_h200_mtp.sh
+++ b/benchmarks/single_node/dsv4_fp8_h200_mtp.sh
@@ -11,7 +11,6 @@ source "$(dirname "$0")/../benchmark_lib.sh"
 check_env_vars \
     MODEL \
     TP \
-    DP_ATTENTION \
     CONC \
     ISL \
     OSL \
@@ -46,29 +45,20 @@ else
     MAX_MODEL_LEN_ARG="--max-model-len $MAX_MODEL_LEN"
 fi
 
-# DP_ATTENTION=true runs DP-attention with expert parallel (DP size = TP);
-# DP_ATTENTION=false runs pure tensor parallel.
-PARALLEL_ARGS=(--tensor-parallel-size "$TP" --data-parallel-size 1)
-if [ "${DP_ATTENTION}" = "true" ]; then
-    PARALLEL_ARGS=(--tensor-parallel-size 1 --data-parallel-size "$TP")
-fi
-
-EP_ARGS=()
-if [ "${EP_SIZE:-1}" -gt 1 ]; then
-    EP_ARGS=(--enable-expert-parallel)
-fi
-
 # Start GPU monitoring (power, temperature, clocks every second)
 start_gpu_monitor
 
+# Per the recipe, run with EP + DP=8 (no --tensor-parallel-size flag). TP
+# from the search space is used only for GPU allocation by the runner and
+# as the DP size.
 set -x
 vllm serve $MODEL --host 0.0.0.0 --port $PORT \
 --trust-remote-code \
 --kv-cache-dtype fp8 \
 --block-size 256 \
 --no-enable-prefix-caching \
-"${PARALLEL_ARGS[@]}" \
-"${EP_ARGS[@]}" \
+--enable-expert-parallel \
+--data-parallel-size $TP \
 $MAX_MODEL_LEN_ARG \
 --gpu-memory-utilization 0.95 \
 --max-num-seqs 512 \