ajith-sirra-amd · Aug 3, 2026 · Aug 3, 2026
diff --git a/benchmarks/single_node/agentic/glm5.2_fp4_mi355x_sglang.sh b/benchmarks/single_node/agentic/glm5.2_fp4_mi355x_sglang.sh
@@ -0,0 +1,203 @@
+#!/usr/bin/env bash
+set -eo pipefail
+set -x
+
+source "$(dirname "$0")/../../benchmark_lib.sh"
+
+check_env_vars MODEL TP CONC KV_OFFLOADING TOTAL_CPU_DRAM_GB RESULT_DIR DURATION EP_SIZE DP_ATTENTION
+
+if [[ -n "$SLURM_JOB_ID" ]]; then
+    echo "JOB $SLURM_JOB_ID running on $SLURMD_NODENAME"
+fi
+
+# ROCR/HIP visibility under slurm cgroups.
+if [ -n "$ROCR_VISIBLE_DEVICES" ]; then
+    export HIP_VISIBLE_DEVICES="$ROCR_VISIBLE_DEVICES"
+fi
+
+
+if [[ -n "$MODEL_PATH" ]]; then
+    if [[ ! -d "$MODEL_PATH" || -z "$(ls -A "$MODEL_PATH" 2>/dev/null)" ]]; then
+        hf download "$MODEL" --local-dir "$MODEL_PATH"
+    fi
+else
+    hf download "$MODEL"
+    export MODEL_PATH="$MODEL"
+fi
+rocm-smi || true
+amd-smi || true
+
+
+GPU_CLEAN=false
+for i in $(seq 1 90); do
+    VRAM_MAX=$(rocm-smi --showmemuse 2>/dev/null | grep -oE "GPU Memory Allocated \(VRAM%\): [0-9]+" | awk '{if ($NF > m) m = $NF} END {print m+0}')
+    if [ "${VRAM_MAX:-0}" -le 10 ]; then echo "GPUs clean (vram%max=$VRAM_MAX after $((i*10))s)"; GPU_CLEAN=true; break; fi
+    echo "waiting for prior-job GPU memory reclaim: vram%max=$VRAM_MAX"; sleep 10
+done
+[ "$GPU_CLEAN" = "true" ] || { echo "Error: GPUs still draining prior job's memory after 15min" >&2; exit 1; }
+
+resolve_trace_source
+install_agentic_deps
+
+SERVER_LOG="$RESULT_DIR/server.log"
+ROUTER_LOG="$RESULT_DIR/router.log"
+mkdir -p "$RESULT_DIR"
+
+export PYTHONNOUSERSITE=1
+export AIPERF_HTTP_TCP_USER_TIMEOUT=900000
+export SGLANG_TIMEOUT_KEEP_ALIVE=900
+export SGLANG_OPT_USE_TOPK_V2=false
+
+CACHE_ARGS=()
+if agentic_kv_offload_enabled; then
+    if [ "$DP_ATTENTION" = "true" ]; then
+        HICACHE_RATIO="${HICACHE_RATIO:-0.5}"
+    else
+        HICACHE_RATIO="${HICACHE_RATIO:-1.5}"
+    fi
+    HICACHE_WRITE_POLICY="${HICACHE_WRITE_POLICY:-write_through}"
+    HICACHE_IO_BACKEND="${HICACHE_IO_BACKEND:-direct}"
+    HICACHE_MEM_LAYOUT="${HICACHE_MEM_LAYOUT:-page_first_direct}"
+    case "$KV_OFFLOAD_BACKEND" in
+        hicache)
+            echo "HiCache (GPU+host DRAM only): ratio=$HICACHE_RATIO, write_policy=$HICACHE_WRITE_POLICY, io_backend=$HICACHE_IO_BACKEND, mem_layout=$HICACHE_MEM_LAYOUT"
+            CACHE_ARGS=(
+                --enable-hierarchical-cache
+                --hicache-ratio "$HICACHE_RATIO"
+                --hicache-write-policy "$HICACHE_WRITE_POLICY"
+                --hicache-io-backend "$HICACHE_IO_BACKEND"
+                --hicache-mem-layout "$HICACHE_MEM_LAYOUT"
+            )
+            ;;
+        mooncake)
+            L3_PER_RANK_GB="${L3_PER_RANK_GB:-40}"
+            python3 -c "from mooncake.store import MooncakeDistributedStore" >/dev/null
+            MOONCAKE_MASTER_PORT=$((PORT + 12000))
+            MOONCAKE_MASTER_LOG="$RESULT_DIR/mooncake_master.log"
+            MOONCAKE_CONFIG_PATH="$RESULT_DIR/mooncake_config.json"
+            cat > "$MOONCAKE_CONFIG_PATH" <<EOF
+{
+  "local_hostname": "127.0.0.1",
+  "metadata_server": "P2PHANDSHAKE",
+  "master_server_address": "127.0.0.1:$MOONCAKE_MASTER_PORT",
+  "global_segment_size": "${L3_PER_RANK_GB}gb",
+  "local_buffer_size": "4gb",
+  "protocol": "tcp",
+  "device_name": ""
+}
+EOF
+            export SGLANG_HICACHE_MOONCAKE_CONFIG_PATH="$MOONCAKE_CONFIG_PATH"
+            mooncake_master --port "$MOONCAKE_MASTER_PORT" \
+                --default_kv_lease_ttl=120s \
+                --eviction_high_watermark_ratio=0.80 \
+                --eviction_ratio=0.10 > "$MOONCAKE_MASTER_LOG" 2>&1 &
+            MOONCAKE_MASTER_PID=$!
+            sleep 2
+            kill -0 "$MOONCAKE_MASTER_PID"
+            echo "HiCache+Mooncake: ratio=$HICACHE_RATIO, l3_per_rank=${L3_PER_RANK_GB} GB, dram_budget=${TOTAL_CPU_DRAM_GB} GB"
+            CACHE_ARGS=(
+                --enable-hierarchical-cache
+                --hicache-ratio "$HICACHE_RATIO"
+                --hicache-size 0
+                --hicache-write-policy "$HICACHE_WRITE_POLICY"
+                --hicache-io-backend "$HICACHE_IO_BACKEND"
+                --hicache-mem-layout "$HICACHE_MEM_LAYOUT"
+                --hicache-storage-backend mooncake
+                --hicache-storage-prefetch-policy wait_complete
+            )
+            ;;
+        *)
+            echo "Error: unsupported KV_OFFLOAD_BACKEND '$KV_OFFLOAD_BACKEND' (expected: hicache or mooncake)" >&2
+            exit 1
+            ;;
+    esac
+fi
+
+USE_SGLANG_ROUTER=false
+SGLANG_BACKEND_PORT="$PORT"
+PARALLEL_ARGS=(--tp "$TP" --ep-size "$EP_SIZE")
+MEM_FRACTION_STATIC=0.80
+if [ "$DP_ATTENTION" = "true" ]; then
+    USE_SGLANG_ROUTER=true
+    export AIPERF_HTTP_X_SMG_ROUTING_KEY_FROM_CORRELATION_ID=true
+    SGLANG_BACKEND_PORT=$((PORT + 1))
+    SGLANG_ROUTER_METRICS_PORT=$((PORT + 10000))
+    SGLANG_ROUTER_CMD=(python3 -m sglang_router.launch_router)
+    PARALLEL_ARGS+=(--dp "$TP" --enable-dp-attention)
+    CHUNKED_PREFILL_SIZE=32768
+    export AGENTIC_WARMUP_GRACE_PERIOD=3600
+    export SGLANG_DP_USE_GATHERV=1
+    export SGLANG_DP_USE_REDUCE_SCATTER=1
+    export GPU_MAX_HW_QUEUES=5
+elif [ "$CONC" -le 16 ]; then
+    CHUNKED_PREFILL_SIZE=131072
+    MEM_FRACTION_STATIC=0.85
+else
+    CHUNKED_PREFILL_SIZE=32768
+    export AGENTIC_WARMUP_GRACE_PERIOD=3600
+fi
+MAX_RUNNING_REQUESTS=$((1 * CONC))
+[ "$MAX_RUNNING_REQUESTS" -gt 256 ] && MAX_RUNNING_REQUESTS=256
+CUDA_GRAPH_MAX_BS=$MAX_RUNNING_REQUESTS
+
+SGLANG_CMD=(
+    python3 -m sglang.launch_server
+    --model-path "$MODEL_PATH"
+    --served-model-name "$MODEL"
+    --host 0.0.0.0
+    --port "$SGLANG_BACKEND_PORT"
+    --trust-remote-code
+    "${PARALLEL_ARGS[@]}"
+    --kv-cache-dtype fp8_e4m3
+    --dsa-prefill-backend tilelang
+    --dsa-decode-backend tilelang
+    --tool-call-parser glm47
+    --reasoning-parser glm45
+    --chunked-prefill-size "$CHUNKED_PREFILL_SIZE"
+    --mem-fraction-static "$MEM_FRACTION_STATIC"
+    --max-running-requests "$MAX_RUNNING_REQUESTS"
+    --cuda-graph-max-bs "$CUDA_GRAPH_MAX_BS"
+    "${CACHE_ARGS[@]}"
+    --watchdog-timeout 1800
+    --enable-metrics
+)
+
+printf '%q ' "${SGLANG_CMD[@]}" | tee "$RESULT_DIR/sglang_command.txt"
+printf '\n' | tee -a "$RESULT_DIR/sglang_command.txt"
+
+echo "Starting SGLang server for MI355X..."
+"${SGLANG_CMD[@]}" > "$SERVER_LOG" 2>&1 &
+SERVER_PID=$!
+echo "Server PID: $SERVER_PID"
+
+wait_for_server_ready --port "$SGLANG_BACKEND_PORT" --server-log "$SERVER_LOG" --server-pid "$SERVER_PID"
+
+if [ "$USE_SGLANG_ROUTER" = "true" ]; then
+    echo "Starting SGLang router on port $PORT for $TP DP ranks..."
+    "${SGLANG_ROUTER_CMD[@]}" \
+        --worker-urls "http://localhost:$SGLANG_BACKEND_PORT" \
+        --policy consistent_hashing \
+        --request-id-headers x-correlation-id \
+        --dp-aware \
+        --host 0.0.0.0 \
+        --port "$PORT" \
+        --prometheus-host 127.0.0.1 \
+        --prometheus-port "$SGLANG_ROUTER_METRICS_PORT" \
+        --connect-timeout-secs 900 \
+        --request-timeout-secs 14400 \
+        --disable-health-check \
+        --disable-retries > "$ROUTER_LOG" 2>&1 &
+    ROUTER_PID=$!
+    echo "Router PID: $ROUTER_PID"
+    wait_for_server_ready --port "$PORT" --server-log "$ROUTER_LOG" --server-pid "$ROUTER_PID"
+fi
+
+if [ "${EVAL_ONLY}" = "true" ]; then
+    export SWEBENCH_AGENT_STEP_LIMIT=150
+    export SWEBENCH_AGENT_WORKERS="${SWEBENCH_AGENT_WORKERS:-32}"
+    run_eval --port "$PORT"
+else
+    build_replay_cmd "$RESULT_DIR"
+    REPLAY_CMD+=" --server-metrics http://localhost:$SGLANG_BACKEND_PORT/metrics"
+    run_agentic_replay_and_write_outputs "$RESULT_DIR"
+fi
@@ -2360,3 +2360,17 @@ dsv4-fp8-mi325x-vllm-mtp:
       # is 55.8%. conc128 passed cleanly on the memory-tightest SKU (MI300X);
       # cap 8k1k MTP at 128 (normal holds 256, 1k1k holds 512).
       - { tp: 8, conc-start: 4, conc-end: 128, spec-decoding: mtp }
+
+glm5.2-fp4-mi355x-sglang-agentic:
+  image: lmsysorg/sglang-rocm:v0.5.16-rocm720-mi35x-20260728
+  model: amd/GLM-5.2-MXFP4
+  model-prefix: glm5.2
+  runner: cluster:mi355x-amds
+  precision: fp4
+  framework: sglang
+  multinode: false
+  scenarios:
+    agentic-coding:
+    - dram-utilization: 0.85
+      search-space:
+      - { tp: 8, ep: 8, kv-offloading: dram, kv-offload-backend: { name: hicache }, conc-list: [1, 4, 8, 12, 16] }
@@ -5355,3 +5355,10 @@
     - "Apply the accuracy-gated Kimi-K2.5 MXFP4 settings: tuned AITER MXFP4 MoE, fused shared experts, FP8 KV cache, block size 16, 16384 batched tokens, 512 sequences, async scheduling, gpu-memory-utilization 0.85 (headroom for CUDA-graph capture on MI355X), and the AITER BF16 GEMM path"
     - "Extend the TP4 and TP8 8k1k concurrency sweep from 64 to 128 (1k1k deprecated per #2263)"
   pr-link: https://github.com/SemiAnalysisAI/InferenceX/pull/2213
+
+- config-keys:
+    - glm5.2-fp4-mi355x-sglang-agentic
+  description:
+    - "Add GLM 5.2 FP4 MI355X AgentX Support"
+    - "Image: lmsysorg/sglang-rocm:v0.5.16-rocm720-mi35x-20260728"
+  pr-link: TO-BE-ADDED