diff --git a/.github/configs/amd-master.yaml b/.github/configs/amd-master.yaml
index 418ad5ab9..96d70c7fa 100644
--- a/.github/configs/amd-master.yaml
+++ b/.github/configs/amd-master.yaml
@@ -1350,8 +1350,9 @@ dsr1-fp8-mi355x-sglang-disagg-mtp:
           - "DECODE_NODES=1"
           - "DECODE_MTP_SIZE=2"
 
+
 dsr1-fp4-mi355x-sglang-disagg:
-  image: lmsysorg/sglang-rocm:v0.5.10.post1-rocm720-mi35x-20260501
+  image: lmsysorg/sglang-rocm:v0.5.12-rocm720-mi35x-20260519
   model: amd/DeepSeek-R1-0528-MXFP4-v2
   model-prefix: dsr1
   runner: mi355x-disagg
@@ -1540,6 +1541,25 @@ dsr1-fp4-mi355x-sglang-disagg:
           - "DECODE_NODES=2"
           - "DECODE_MTP_SIZE=0"
 
+      # 1*DEP8 + 1*DEP8
+      - spec-decoding: "none"
+        conc-list: [ 128, 256, 512 ]
+        prefill:
+          num-worker: 1
+          tp: 8
+          ep: 8
+          dp-attn: true
+          additional-settings:
+          - "PREFILL_NODES=1"
+        decode:
+          num-worker: 1
+          tp: 8
+          ep: 8
+          dp-attn: true
+          additional-settings:
+          - "DECODE_NODES=1"
+          - "DECODE_MTP_SIZE=0"
+
       # 2*DEP8 + 1*DEP8
       - spec-decoding: "none"
         conc-list: [ 1024, 2048, 4096 ]
@@ -1560,7 +1580,7 @@ dsr1-fp4-mi355x-sglang-disagg:
           - "DECODE_MTP_SIZE=0"
 
 dsr1-fp4-mi355x-sglang-disagg-mtp:
-  image: lmsysorg/sglang-rocm:v0.5.10.post1-rocm720-mi35x-20260501
+  image: lmsysorg/sglang-rocm:v0.5.12-rocm720-mi35x-20260519
   model: amd/DeepSeek-R1-0528-MXFP4-v2
   model-prefix: dsr1
   runner: mi355x-disagg
@@ -1730,24 +1750,43 @@ dsr1-fp4-mi355x-sglang-disagg-mtp:
           - "DECODE_NODES=2"
           - "DECODE_MTP_SIZE=2"
 
-      # 1P2D TP4
+      # 1*DEP8 + 1*DEP8
       - spec-decoding: "mtp"
-        conc-list: [ 64, 128, 256 ]
+        conc-list: [ 128, 512 ]
         prefill:
           num-worker: 1
-          tp: 4
-          ep: 1
-          dp-attn: false
+          tp: 8
+          ep: 8
+          dp-attn: true
           additional-settings:
           - "PREFILL_NODES=1"
         decode:
-          num-worker: 2
+          num-worker: 1
           tp: 8
-          ep: 1
-          dp-attn: false
+          ep: 8
+          dp-attn: true
           additional-settings:
-          - "DECODE_NODES=2"
-          - "DECODE_MTP_SIZE=2"
+          - "DECODE_NODES=1"
+          - "DECODE_MTP_SIZE=1"
+
+      # 1*DEP8 + 1*DEP8
+      - spec-decoding: "mtp"
+        conc-list: [ 64, 256 ]
+        prefill:
+          num-worker: 1
+          tp: 8
+          ep: 8
+          dp-attn: true
+          additional-settings:
+          - "PREFILL_NODES=1"
+        decode:
+          num-worker: 1
+          tp: 8
+          ep: 8
+          dp-attn: true
+          additional-settings:
+          - "DECODE_NODES=1"
+          - "DECODE_MTP_SIZE=1"
 
       # 2*DEP8 + 1*DEP8
       - spec-decoding: "mtp"
diff --git a/benchmarks/multi_node/amd_utils/env.sh b/benchmarks/multi_node/amd_utils/env.sh
index d0b99eddc..904576003 100755
--- a/benchmarks/multi_node/amd_utils/env.sh
+++ b/benchmarks/multi_node/amd_utils/env.sh
@@ -40,7 +40,8 @@ export NCCL_IB_HCA=$IBDEVICES
 export SGLANG_USE_AITER=1
 
 export SGLANG_MORI_DISPATCH_DTYPE=auto
-export SGLANG_MORI_FP8_COMB=true
+export MORI_COMBINE_DTYPE_PREFILL=fp8_direct_cast
+export MORI_COMBINE_DTYPE_DECODE=fp8
 export SGLANG_MORI_QP_PER_TRANSFER=4
 export SGLANG_MORI_NUM_WORKERS=4
 export MORI_IO_SQ_BACKOFF_TIMEOUT_US=50000
@@ -59,7 +60,7 @@ export MORI_SHMEM_MODE=ISOLATION
 
 # Enable spec v2 
 export SGLANG_ENABLE_SPEC_V2=1
-export SGLANG_ENABLE_OVERLAP_PLAN_STREAM=1
+export SGLANG_ENABLE_OVERLAP_PLAN_STREAM=0
 
 export SGLANG_LOG_MS=true
 export SGLANG_DISAGGREGATION_NUM_PRE_ALLOCATE_REQS=32
diff --git a/benchmarks/multi_node/amd_utils/server.sh b/benchmarks/multi_node/amd_utils/server.sh
index bbe8de6aa..7eb7414a6 100755
--- a/benchmarks/multi_node/amd_utils/server.sh
+++ b/benchmarks/multi_node/amd_utils/server.sh
@@ -33,6 +33,9 @@ BENCH_REQUEST_RATE="${BENCH_REQUEST_RATE:-inf}"
 BENCH_NUM_PROMPTS_MULTIPLIER="${BENCH_NUM_PROMPTS_MULTIPLIER:-10}"
 BENCH_MAX_CONCURRENCY="${BENCH_MAX_CONCURRENCY:-512}"
 
+# Extract the maximum concurrency from the x-delimited list
+BENCH_MAX_CONC_VALUE=$(echo "$BENCH_MAX_CONCURRENCY" | tr 'x' '\n' | sort -n | tail -1)
+
 # Dry Run for debugging purpose
 DRY_RUN="${DRY_RUN:-0}"
 
@@ -184,6 +187,15 @@ else
     prefill_enable_two_batch_overlap="false"
 fi
 
+# When both DP and EP are enabled, override max-running-requests with max bench concurrency
+if [[ "$PREFILL_ENABLE_DP" == "true" ]] && [[ "$PREFILL_ENABLE_EP" == "true" ]]; then
+    prefill_max_running_requests=$BENCH_MAX_CONC_VALUE
+    prefill_dp_ranks=$PREFILL_TP_SIZE
+    # MORI_MAX_DISPATCH_TOKENS_PREFILL stays at 8192 (no change)
+    MORI_MOE_MAX_INPUT_TOKENS_PREFILL=$((MORI_MAX_DISPATCH_TOKENS_PREFILL * prefill_dp_ranks / 2))
+    echo "[DP+EP override] Prefill: max-running-requests=$prefill_max_running_requests, MOE_MAX_INPUT=$MORI_MOE_MAX_INPUT_TOKENS_PREFILL"
+fi
+
 # Compute DP-dependent decode parameters (3-way: DP > EP-only > no_dp)
 if [[ "$DECODE_ENABLE_DP" == "true" ]]; then
     decode_cuda_graph_bs=($(seq $DECODE_CUDA_GRAPH_BS_DP_START $DECODE_CUDA_GRAPH_BS_DP_END))
@@ -196,6 +208,18 @@ else
     decode_max_running_requests=$DECODE_MAX_RUNNING_REQUESTS_NO_DP
 fi
 
+# When both DP and EP are enabled, override max-running-requests and dispatch tokens
+if [[ "$DECODE_ENABLE_DP" == "true" ]] && [[ "$DECODE_ENABLE_EP" == "true" ]]; then
+    decode_max_running_requests=$BENCH_MAX_CONC_VALUE
+    decode_dp_ranks=$DECODE_TP_SIZE
+    MORI_MAX_DISPATCH_TOKENS_DECODE=$((BENCH_MAX_CONC_VALUE / decode_dp_ranks))
+    MORI_MOE_MAX_INPUT_TOKENS_DECODE=$((MORI_MAX_DISPATCH_TOKENS_DECODE * decode_dp_ranks * 7 / 10))
+    # Update derived variable
+    SGLANG_MORI_DISPATCH_INTER_KERNEL_SWITCH_THRESHOLD=$((MORI_MAX_DISPATCH_TOKENS_DECODE * 2))
+    export SGLANG_MORI_DISPATCH_INTER_KERNEL_SWITCH_THRESHOLD
+    echo "[DP+EP override] Decode: max-running-requests=$decode_max_running_requests, DISPATCH_TOKENS=$MORI_MAX_DISPATCH_TOKENS_DECODE, MOE_MAX_INPUT=$MORI_MOE_MAX_INPUT_TOKENS_DECODE, INTER_KERNEL_SWITCH=$SGLANG_MORI_DISPATCH_INTER_KERNEL_SWITCH_THRESHOLD"
+fi
+
 # Build the composed config strings (equivalent to the old MODEL_PREFILL_CONFIGS / MODEL_DECODE_CONFIGS)
 PREFILL_MODE_FLAGS="--mem-fraction-static ${PREFILL_MEM_FRACTION_STATIC} --max-running-requests ${prefill_max_running_requests} --chunked-prefill-size ${prefill_chunked_prefill_size} --cuda-graph-bs ${prefill_cuda_graph_bs[*]} "
 if [[ "$PREFILL_DISABLE_RADIX_CACHE" == "True" ]] || [[ "$PREFILL_DISABLE_RADIX_CACHE" == "true" ]]; then
@@ -343,11 +367,6 @@ if [[ "${EVAL_ONLY:-false}" == "true" ]] || [[ "${RUN_EVAL:-false}" == "true" ]]
     DECODE_SERVER_CONFIG=$(echo "$DECODE_SERVER_CONFIG" | sed 's/--ep-dispatch-algorithm fake//g')
     unset MORI_MOE_MAX_INPUT_TOKENS_PREFILL
     unset MORI_MOE_MAX_INPUT_TOKENS_DECODE
-    # NOTE: that currently with fp8_combine set, the evals do not pass on InferenceX eval harness
-    # or on SGLang native harness for high concurrency 4k and gets no where near the golden score of
-    # 0.95 on even basic GSM8k grade school math as confirmed by @billishyahao from AMD
-    # and as confirmed by @Oseltamivir. This was initally merged with @billishyahao promising 
-    # that an fast follow PR to fix the evals via having quant correction in the fp8 combine
 fi
 
 # =============================================================================
@@ -398,7 +417,7 @@ if [ "$NODE_RANK" -eq 0 ]; then
         PREFILL_MORI_MOE_ENV="SGLANG_MORI_MOE_MAX_INPUT_TOKENS=${MORI_MOE_MAX_INPUT_TOKENS_PREFILL}"
     fi
     set +x
-    PREFILL_CMD="${PREFILL_SDMA_ENV} ${PREFILL_MORI_MOE_ENV} SGLANG_MORI_NUM_MAX_DISPATCH_TOKENS_PER_RANK=${MORI_MAX_DISPATCH_TOKENS_PREFILL} python3 -m sglang.launch_server \
+    PREFILL_CMD="SGLANG_MORI_COMBINE_DTYPE=${MORI_COMBINE_DTYPE_PREFILL} ${PREFILL_SDMA_ENV} ${PREFILL_MORI_MOE_ENV} SGLANG_MORI_NUM_MAX_DISPATCH_TOKENS_PER_RANK=${MORI_MAX_DISPATCH_TOKENS_PREFILL} python3 -m sglang.launch_server \
         --model-path $MODEL_DIR/$MODEL_NAME \
         --disaggregation-mode prefill \
         --disaggregation-ib-device ${IBDEVICES} \
@@ -630,7 +649,7 @@ elif [ "$NODE_RANK" -gt 0 ] && [ "$NODE_RANK" -lt "$NODE_OFFSET" ]; then
         PREFILL_MORI_MOE_ENV="SGLANG_MORI_MOE_MAX_INPUT_TOKENS=${MORI_MOE_MAX_INPUT_TOKENS_PREFILL}"
     fi
     set +x
-    PREFILL_CMD="${PREFILL_SDMA_ENV} ${PREFILL_MORI_MOE_ENV} SGLANG_MORI_NUM_MAX_DISPATCH_TOKENS_PER_RANK=${MORI_MAX_DISPATCH_TOKENS_PREFILL} python3 -m sglang.launch_server \
+    PREFILL_CMD="SGLANG_MORI_COMBINE_DTYPE=${MORI_COMBINE_DTYPE_PREFILL} ${PREFILL_SDMA_ENV} ${PREFILL_MORI_MOE_ENV} SGLANG_MORI_NUM_MAX_DISPATCH_TOKENS_PER_RANK=${MORI_MAX_DISPATCH_TOKENS_PREFILL} python3 -m sglang.launch_server \
         --model-path $MODEL_DIR/${MODEL_NAME} \
         --disaggregation-mode prefill \
         --disaggregation-ib-device ${IBDEVICES} \
@@ -698,7 +717,7 @@ else
         DECODE_MORI_MOE_ENV="SGLANG_MORI_MOE_MAX_INPUT_TOKENS=${MORI_MOE_MAX_INPUT_TOKENS_DECODE}"
     fi
     set +x
-    DECODE_CMD="${DECODE_MORI_MOE_ENV} SGLANG_MORI_NUM_MAX_DISPATCH_TOKENS_PER_RANK=${MORI_MAX_DISPATCH_TOKENS_DECODE} python3 -m sglang.launch_server \
+    DECODE_CMD="SGLANG_MORI_COMBINE_DTYPE=${MORI_COMBINE_DTYPE_DECODE} ${DECODE_MORI_MOE_ENV} SGLANG_MORI_NUM_MAX_DISPATCH_TOKENS_PER_RANK=${MORI_MAX_DISPATCH_TOKENS_DECODE} python3 -m sglang.launch_server \
         --model-path ${MODEL_DIR}/${MODEL_NAME} \
         --disaggregation-mode decode \
         --disaggregation-ib-device ${IBDEVICES} \
diff --git a/perf-changelog.yaml b/perf-changelog.yaml
index 55e1d1243..f34b5741f 100644
--- a/perf-changelog.yaml
+++ b/perf-changelog.yaml
@@ -2449,6 +2449,15 @@
     - "Update SGLang image from v0.5.10.post1-cu130 to v0.5.11-cu130"
   pr-link: https://github.com/SemiAnalysisAI/InferenceX/pull/1346
 
+- config-keys:
+    - dsr1-fp4-mi355x-sglang-disagg
+    - dsr1-fp4-mi355x-sglang-disagg-mtp
+  description:
+    - "Fix the eval result of dsr1 fp4 with fp8 blockwise combine"
+    - "Bump the image to May 19"
+    - "Add conc 512 new sweep point"
+  pr-link: https://github.com/SemiAnalysisAI/InferenceX/pull/1566
+
 - config-keys:
     - kimik2.5-int4-h200-vllm
   description: