diff --git a/.github/configs/amd-master.yaml b/.github/configs/amd-master.yaml
index 893210ef6..ec01578fc 100644
--- a/.github/configs/amd-master.yaml
+++ b/.github/configs/amd-master.yaml
@@ -1536,6 +1536,27 @@ dsv4-fp8-mi355x-sglang:
     search-space:
     - { tp: 8, conc-start: 4, conc-end: 64 }
 
+# FP4-experts variant of dsv4-fp8-mi355x-sglang. Same image and sglang overlay,
+# but uses the canonical DeepSeek-V4-Pro checkpoint and enables the FP4 expert
+# loader path in benchmarks/single_node/dsv4_fp4_mi355x_sglang.sh.
+dsv4-fp4-mi355x-sglang:
+  image: rocm/sgl-dev:rocm720-deepseek-v4-mi35x
+  model: deepseek-ai/DeepSeek-V4-Pro
+  model-prefix: dsv4
+  runner: mi355x
+  precision: fp4
+  framework: sglang
+  multinode: false
+  seq-len-configs:
+  - isl: 1024
+    osl: 1024
+    search-space:
+    - { tp: 8, conc-start: 4, conc-end: 64 }
+  - isl: 8192
+    osl: 1024
+    search-space:
+    - { tp: 8, conc-start: 4, conc-end: 64 }
+
 # vLLM with AITER MLA decode for DSv4 on MI355X (vllm-project/vllm#40889,
 # stacked on #40871). Uses the ATOM MI355X image (ROCm 7.2.2, aiter with
 # MLA decode, MI355X GPU detection); vLLM is rebuilt from the PR branch
diff --git a/benchmarks/single_node/dsv4_fp4_mi355x_sglang.sh b/benchmarks/single_node/dsv4_fp4_mi355x_sglang.sh
new file mode 100755
index 000000000..439d1db12
--- /dev/null
+++ b/benchmarks/single_node/dsv4_fp4_mi355x_sglang.sh
@@ -0,0 +1,150 @@
+#!/usr/bin/env bash
+
+source "$(dirname "$0")/../benchmark_lib.sh"
+
+check_env_vars \
+    MODEL \
+    TP \
+    CONC \
+    ISL \
+    OSL \
+    RANDOM_RANGE_RATIO \
+    RESULT_FILENAME
+
+if [[ -n "$SLURM_JOB_ID" ]]; then
+  echo "JOB $SLURM_JOB_ID running on $SLURMD_NODENAME"
+fi
+
+hf download "$MODEL"
+
+# Overlay sglang from the amd/deepseek_v4 branch on top of whatever the
+# rocm/sgl-dev:rocm720-deepseek-v4-mi35x image ships with. The image's sglang
+# is moving fast and we want a reproducible pin per benchmark run. Bump
+# SGL_PR_SHA when the branch advances.
+SGL_PR_SHA="18afbf151a2992b06a089191769b299629ed73dd"
+SGL_PR_DIR="/tmp/sglang-amd-dsv4"
+
+if [ ! -d "$SGL_PR_DIR/.git" ]; then
+    git clone --filter=blob:none https://github.com/sgl-project/sglang.git "$SGL_PR_DIR"
+fi
+(
+    cd "$SGL_PR_DIR"
+    git fetch --depth=1 origin "$SGL_PR_SHA" 2>/dev/null \
+        || git fetch --depth=1 origin amd/deepseek_v4
+    git checkout --force "$SGL_PR_SHA"
+    test "$(git rev-parse HEAD)" = "$SGL_PR_SHA"
+
+    # Reinstall just the Python package; the image already has the ROCm
+    # kernel deps (aiter, triton, tilelang, torch) at versions matched to
+    # this branch, so --no-deps avoids pip resolving them against PyPI.
+    pip install --no-build-isolation --no-deps --force-reinstall -e python/
+)
+
+python3 -c "import sglang; print(f'sglang {sglang.__version__} from {sglang.__path__[0]}')"
+
+# Transformers in the container doesn't recognize the `deepseek_v4` model_type.
+# PR #23608's fallback in hf_transformers_utils.get_config tries to handle this
+# by writing a patched config to /tmp, but in practice isn't catching the error
+# in this image. Patch the cached config.json directly instead: set model_type
+# to `deepseek_v3` so AutoConfig.from_pretrained succeeds, and keep
+# architectures=['DeepseekV4ForCausalLM'] so SGLang dispatches to its native
+# DSv4 model class (python/sglang/srt/models/deepseek_v4.py).
+python3 << PYEOF
+import json
+from huggingface_hub import hf_hub_download
+path = hf_hub_download(repo_id="$MODEL", filename="config.json")
+with open(path) as f:
+    config = json.load(f)
+if config.get("model_type") == "deepseek_v4":
+    config["model_type"] = "deepseek_v3"
+    with open(path, "w") as f:
+        json.dump(config, f, indent=2)
+    print(f"Patched {path}: model_type deepseek_v4 -> deepseek_v3")
+else:
+    print(f"No patch needed: model_type is {config.get('model_type')!r}")
+PYEOF
+
+# DSv4 FP4-experts path. Mirrors the active path of python/run_dsv4.sh on
+# the amd/deepseek_v4 branch at SGL_PR_SHA:
+#   SGLANG_DSV4_FP4_EXPERTS=True   -> route experts through the FP4 kernels
+#   SGLANG_FORCE_TRITON_MOE_FP8=0  -> dispatch MoE through aiter (gating
+#                                    switch added in commit 33de1e64);
+#                                    also enables swiglu_limit clamp in the
+#                                    triton MoE fallback path.
+export SGLANG_REASONING_EFFORT=max
+export SGLANG_OPT_USE_FUSED_COMPRESS=false
+export SGLANG_OPT_USE_OLD_COMPRESSOR=true
+export SGLANG_OPT_USE_TILELANG_SWA_PREPARE=false
+export SGLANG_OPT_USE_JIT_KERNEL_FUSED_TOPK=false
+export SGLANG_OPT_USE_FUSED_HASH_TOPK=false
+export SGLANG_HACK_FLASHMLA_BACKEND=torch
+export SGLANG_OPT_DEEPGEMM_HC_PRENORM=false
+export SGLANG_OPT_USE_TILELANG_MHC_PRE=false
+export SGLANG_OPT_USE_TILELANG_MHC_POST=false
+export SGLANG_ENABLE_THINKING=1
+export SGLANG_USE_AITER=1
+export SGLANG_USE_ROCM700A=1
+export SGLANG_TOPK_TRANSFORM_512_TORCH=1
+export SGLANG_FP8_PAGED_MQA_LOGITS_TORCH=1
+export SGLANG_DSV4_FP4_EXPERTS=True
+export SGLANG_OPT_DPSK_V4_RADIX=0
+export SGLANG_OPT_USE_OVERLAP_STORE_CACHE=false
+export SGLANG_OPT_USE_FUSED_STORE_CACHE=false
+export SGLANG_FORCE_TRITON_MOE_FP8=0
+
+SERVER_LOG=/workspace/server.log
+PORT=${PORT:-8888}
+
+EVAL_CONTEXT_ARGS=""
+if [ "${EVAL_ONLY}" = "true" ]; then
+    setup_eval_context
+    EVAL_CONTEXT_ARGS="--context-length $EVAL_MAX_MODEL_LEN"
+fi
+# Start GPU monitoring (power, temperature, clocks every second)
+start_gpu_monitor
+
+python3 -m sglang.launch_server \
+    --model-path $MODEL \
+    --host=0.0.0.0 \
+    --port $PORT \
+    --tensor-parallel-size $TP \
+    --dp $TP \
+    --enable-dp-attention \
+    --trust-remote-code \
+    --disable-radix-cache \
+    --attention-backend compressed \
+    --max-running-request 256 \
+    --page-size 256 \
+    --chunked-prefill-size 8192 \
+    --disable-shared-experts-fusion \
+    --disable-cuda-graph \
+    --tool-call-parser deepseekv4 \
+    --reasoning-parser deepseek-v4 \
+    --watchdog-timeout 1800 $EVAL_CONTEXT_ARGS > $SERVER_LOG 2>&1 &
+
+SERVER_PID=$!
+
+# Wait for server to be ready
+wait_for_server_ready --port "$PORT" --server-log "$SERVER_LOG" --server-pid "$SERVER_PID"
+
+run_benchmark_serving \
+    --model "$MODEL" \
+    --port "$PORT" \
+    --backend vllm \
+    --input-len "$ISL" \
+    --output-len "$OSL" \
+    --random-range-ratio "$RANDOM_RANGE_RATIO" \
+    --num-prompts "$((CONC * 10))" \
+    --max-concurrency "$CONC" \
+    --result-filename "$RESULT_FILENAME" \
+    --result-dir /workspace/
+
+# After throughput, run evaluation only if RUN_EVAL is true
+if [ "${RUN_EVAL}" = "true" ]; then
+    run_eval --framework lm-eval --port "$PORT"
+    append_lm_eval_summary
+fi
+
+# Stop GPU monitoring
+stop_gpu_monitor
+set +x
diff --git a/perf-changelog.yaml b/perf-changelog.yaml
index 0e13cb570..e4faf2724 100644
--- a/perf-changelog.yaml
+++ b/perf-changelog.yaml
@@ -2056,3 +2056,12 @@
     - "Add --gpu-memory-utilization 0.9 to server launch"
   pr-link: https://github.com/SemiAnalysisAI/InferenceX/pull/1126
   
+- config-keys:
+    - dsv4-fp4-mi355x-sglang
+  description:
+    - "Add MI355X DSv4 FP4 SGLang benchmark using rocm/sgl-dev:rocm720-deepseek-v4-mi35x"
+    - "Use deepseek-ai/DeepSeek-V4-Pro with SGLANG_DSV4_FP4_EXPERTS=True"
+    - "Reinstall SGLang from amd/deepseek_v4 SHA 18afbf15 at runtime"
+    - "Set SGLANG_FORCE_TRITON_MOE_FP8=0 and SGLANG_REASONING_EFFORT=max to match the FP4 Models update"
+    - "Delete legacy /var/lib/squash/rocm_sgl-dev_deepseek-v4-mi35x.sqsh and refresh the new rocm720 squash import on first launch"
+  pr-link: https://github.com/SemiAnalysisAI/InferenceX/pull/1244
diff --git a/runners/launch_mi355x-amds.sh b/runners/launch_mi355x-amds.sh
index 152745d4e..b89d1e380 100644
--- a/runners/launch_mi355x-amds.sh
+++ b/runners/launch_mi355x-amds.sh
@@ -184,6 +184,10 @@ else
     PARTITION="compute"
     SQUASH_FILE="/var/lib/squash/$(echo "$IMAGE" | sed 's/[\/:@#]/_/g').sqsh"
     LOCK_FILE="${SQUASH_FILE}.lock"
+    LEGACY_SQUASH_FILE=""
+    if [[ "$IMAGE" == "rocm/sgl-dev:rocm720-deepseek-v4-mi35x" ]]; then
+        LEGACY_SQUASH_FILE="/var/lib/squash/rocm_sgl-dev_deepseek-v4-mi35x.sqsh"
+    fi
 
     set -x
     salloc --partition=$PARTITION --gres=gpu:$TP --exclusive --cpus-per-task=128 --time=500 --no-shell --job-name="$RUNNER_NAME"
@@ -195,6 +199,10 @@ else
     srun --jobid=$JOB_ID bash -c "
         exec 9>\"$LOCK_FILE\"
         flock -w 600 9 || { echo 'Failed to acquire lock for $SQUASH_FILE'; exit 1; }
+        if [[ -n \"$LEGACY_SQUASH_FILE\" && -e \"$LEGACY_SQUASH_FILE\" ]]; then
+            echo 'Removing legacy squash file and refreshing import: $LEGACY_SQUASH_FILE'
+            rm -f \"$LEGACY_SQUASH_FILE\" \"$SQUASH_FILE\"
+        fi
         if unsquashfs -l \"$SQUASH_FILE\" > /dev/null 2>&1; then
             echo 'Squash file already exists and is valid, skipping import'
         else