diff --git a/experiments/910c/dsv4_910c_vllm_tp_dp_matrix/config.env b/experiments/910c/dsv4_910c_vllm_tp_dp_matrix/config.env
index 9c92a74..e85a12d 100644
--- a/experiments/910c/dsv4_910c_vllm_tp_dp_matrix/config.env
+++ b/experiments/910c/dsv4_910c_vllm_tp_dp_matrix/config.env
@@ -49,9 +49,12 @@ export CUDA_VISIBLE_DEVICES="${CUDA_VISIBLE_DEVICES:-0,1,2,3,4,5,6,7}"
 RUNTIME_BASE="${RUNTIME_BASE:-${SCRIPT_DIR}/runtime}"
 
 # Parallel configurations to test. Format: "TP DP"
-# DSV4-Flash w8a8 routed-expert weights ~280 GiB total. With expert-parallel the
-# weight load is sharded across TP dies, but w8a8 still leaves a heavy per-die
-# footprint. TP*DP must equal 16 (8 cards x 2 dies).
+# A3 910C has 16 dies (8 cards x 2 dies/card). TP/DP address dies, so TP*DP=16
+# uses all dies. DSV4-Flash w8a8 weights ~280 GiB total, sharded across TP dies:
+#   TP=4  DP=4 -> 4 dies/replica x 4 replicas (39 GiB/die, tight KV cache)
+#   TP=8  DP=2 -> 8 dies/replica x 2 replicas (35 GiB/die, balanced)
+#   TP=16 DP=1 -> 16 dies/replica x 1 replica (17.5 GiB/die, max KV cache)
+# Note: A3 TP=4 == H20 TP=4 per-card-equivalent (A3 has 2 dies/card).
 #   TP=2, DP=4 -> 4 dies/replica x 4 replicas (smallest TP, most replicas)
 #   TP=4, DP=2 -> 4 dies/replica x 2 replicas
 #   TP=8, DP=1 -> 8 dies/replica x 1 replica  (largest TP, max weight sharding)
@@ -62,9 +65,9 @@ if [[ -n "${PARALLEL_CONFIGS_STR:-}" ]]; then
   done
 else
   declare -a PARALLEL_CONFIGS=(
-    "2 4"
-    "4 2"
-    "8 1"
+    "4 4"
+    "8 2"
+    "16 1"
   )
 fi
 
@@ -81,6 +84,21 @@ BLOCK_SIZE="${BLOCK_SIZE:-128}"
 MAX_MODEL_LEN="${MAX_MODEL_LEN:-131072}"
 MAX_NUM_SEQS="${MAX_NUM_SEQS:-256}"
 
+# Per-TP parameter overrides (applied in start_vllm_docker.sh via case $TP).
+# DSV4-Flash w8a8 weight per die = ~280GiB / TP. Each die has 64GB HBM.
+#   TP=4:  ~39 GiB/die weights -> 25 GiB for KV cache; cap context to avoid OOM
+#   TP=8:  ~35 GiB/die weights -> 29 GiB for KV cache; balanced
+#   TP=16: ~17.5 GiB/die weights -> 46 GiB for KV cache; full context
+TP4_GPU_MEMORY_UTILIZATION="${TP4_GPU_MEMORY_UTILIZATION:-0.9}"
+TP4_MAX_MODEL_LEN="${TP4_MAX_MODEL_LEN:-32768}"
+TP4_MAX_NUM_SEQS="${TP4_MAX_NUM_SEQS:-128}"
+TP8_GPU_MEMORY_UTILIZATION="${TP8_GPU_MEMORY_UTILIZATION:-0.9}"
+TP8_MAX_MODEL_LEN="${TP8_MAX_MODEL_LEN:-65536}"
+TP8_MAX_NUM_SEQS="${TP8_MAX_NUM_SEQS:-256}"
+TP16_GPU_MEMORY_UTILIZATION="${TP16_GPU_MEMORY_UTILIZATION:-0.9}"
+TP16_MAX_MODEL_LEN="${TP16_MAX_MODEL_LEN:-131072}"
+TP16_MAX_NUM_SEQS="${TP16_MAX_NUM_SEQS:-256}"
+
 # vLLM-Ascend-specific launch flags injected by start_vllm_docker.sh.
 # attention backend for 910C: use the fused/atb attention path. Adjust per image.
 VLLM_ASCEND_ATTENTION_BACKEND="${VLLM_ASCEND_ATTENTION_BACKEND:-atb}"
diff --git a/experiments/910c/dsv4_910c_vllm_tp_dp_matrix/run_adaptive_concurrency_add16.sh b/experiments/910c/dsv4_910c_vllm_tp_dp_matrix/run_adaptive_concurrency_add16.sh
index 3242291..be790d1 100755
--- a/experiments/910c/dsv4_910c_vllm_tp_dp_matrix/run_adaptive_concurrency_add16.sh
+++ b/experiments/910c/dsv4_910c_vllm_tp_dp_matrix/run_adaptive_concurrency_add16.sh
@@ -74,6 +74,28 @@ engine_stop_server() {
 engine_build_server_args() {
   local tp="$1"
   local dp="$2"
+  # Per-TP overrides (must match start_vllm_docker.sh case $TP).
+  local mem_util="$GPU_MEMORY_UTILIZATION"
+  local max_len="$MAX_MODEL_LEN"
+  local max_seqs="$MAX_NUM_SEQS"
+  case "$tp" in
+    4)
+      mem_util="${TP4_GPU_MEMORY_UTILIZATION:-0.9}"
+      max_len="${TP4_MAX_MODEL_LEN:-32768}"
+      max_seqs="${TP4_MAX_NUM_SEQS:-128}"
+      ;;
+    8)
+      mem_util="${TP8_GPU_MEMORY_UTILIZATION:-0.9}"
+      max_len="${TP8_MAX_MODEL_LEN:-65536}"
+      max_seqs="${TP8_MAX_NUM_SEQS:-256}"
+      ;;
+    16)
+      mem_util="${TP16_GPU_MEMORY_UTILIZATION:-0.9}"
+      max_len="${TP16_MAX_MODEL_LEN:-131072}"
+      max_seqs="${TP16_MAX_NUM_SEQS:-256}"
+      ;;
+  esac
+  log "server args tp=${tp} dp=${dp} gpu_mem_util=${mem_util} max_model_len=${max_len} max_num_seqs=${max_seqs}" >&2
   local -a args=(
     vllm serve "$MODEL_PATH"
     --served-model-name "$SERVED_MODEL_NAME"
@@ -81,9 +103,9 @@ engine_build_server_args() {
     --kv-cache-dtype "$KV_CACHE_DTYPE"
     --block-size "$BLOCK_SIZE"
     --tensor-parallel-size "$tp"
-    --gpu-memory-utilization "$GPU_MEMORY_UTILIZATION"
-    --max-model-len "$MAX_MODEL_LEN"
-    --max-num-seqs "$MAX_NUM_SEQS"
+    --gpu-memory-utilization "$mem_util"
+    --max-model-len "$max_len"
+    --max-num-seqs "$max_seqs"
     --host 0.0.0.0
     --port "$ENGINE_PORT"
   )
diff --git a/experiments/910c/dsv4_910c_vllm_tp_dp_matrix/start_vllm_docker.sh b/experiments/910c/dsv4_910c_vllm_tp_dp_matrix/start_vllm_docker.sh
index f17247d..1e58657 100755
--- a/experiments/910c/dsv4_910c_vllm_tp_dp_matrix/start_vllm_docker.sh
+++ b/experiments/910c/dsv4_910c_vllm_tp_dp_matrix/start_vllm_docker.sh
@@ -18,6 +18,26 @@ SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
 # shellcheck source=/dev/null
 source "${SCRIPT_DIR}/config.env"
 
+# Per-TP parameter overrides (synced from glm52 fix 6c81183).
+# DSV4-Flash w8a8 weight per die = ~280GiB / TP; each die has 64GB HBM.
+case "$TP" in
+  4)
+    GPU_MEMORY_UTILIZATION="${TP4_GPU_MEMORY_UTILIZATION:-0.9}"
+    MAX_MODEL_LEN="${TP4_MAX_MODEL_LEN:-32768}"
+    MAX_NUM_SEQS="${TP4_MAX_NUM_SEQS:-128}"
+    ;;
+  8)
+    GPU_MEMORY_UTILIZATION="${TP8_GPU_MEMORY_UTILIZATION:-0.9}"
+    MAX_MODEL_LEN="${TP8_MAX_MODEL_LEN:-65536}"
+    MAX_NUM_SEQS="${TP8_MAX_NUM_SEQS:-256}"
+    ;;
+  16)
+    GPU_MEMORY_UTILIZATION="${TP16_GPU_MEMORY_UTILIZATION:-0.9}"
+    MAX_MODEL_LEN="${TP16_MAX_MODEL_LEN:-131072}"
+    MAX_NUM_SEQS="${TP16_MAX_NUM_SEQS:-256}"
+    ;;
+esac
+
 RUNTIME_BASE="${RUNTIME_BASE:-${SCRIPT_DIR}/runtime}"
 mkdir -p "${RUNTIME_BASE}/logs" "${RUNTIME_BASE}/tmp"