Add Muse Spark Open GB300 SGLang DFlash2 AgentX recipe

inferencex-e2e/benchmarks/single_node/srt-slurm-recipes/musespark/sglang/gb300-fp4-mtp/agentic.yaml

@@ -0,0 +1,67 @@
+base:
+  schema: 2
+  name: musespark-fp4-gb300-sglang-agentic
+  resources:
+    gpu_type: gb300
+    gpus_per_node: 4
+  slurm:
+    time_limit: '4:00:00'
+  frontend:
+    type: sglang
+    enable_multiple_frontends: false
+  observability:
+    enabled: false
+    tachometer:
+      enabled: false
+  engine: sglang
+  roles:
+    agg:
+      nodes: 1
+      workers: 1
+      gpus: 4
+      args:
+        served-model-name: meta-models/Muse-Spark-Open-816B-A42B-NVFP4
+        trust-remote-code: true
+        tensor-parallel-size: 4
+        expert-parallel-size: 4
+        quantization: modelopt_fp4
+        moe-runner-backend: flashinfer_trtllm
+        kv-cache-dtype: fp8_e4m3
+        mem-fraction-static: 0.8
+        enable-layernorm-sp: true
+        enable-megamoe-for-layernorm-sp: true
+        # DFlash2 verifies 8 tokens per step: the current token plus 7 drafts.
+        speculative-algorithm: DFLASH
+        speculative-draft-model-path: RadixArk/Muse-Spark-Open-DFlash2
+        speculative-draft-attention-backend: fa4
+        speculative-num-draft-tokens: 8
+        mm-feature-transport: cpu
+        reasoning-parser: muse
+        tool-call-parser: muse
+        watchdog-timeout: 3600
+        enable-metrics: true
+      env:
+        PYTHONNOUSERSITE: '1'
+        PYTHONUNBUFFERED: '1'
+        # Outlast AIPerf's pooled connections past Uvicorn's keep-alive.
+        SGLANG_TIMEOUT_KEEP_ALIVE: '900'
+  # Cold 533 GB weight loads from shared storage plus graph capture outlast the default.
+  health_check:
+    max_attempts: 1440
+    interval_seconds: 5
+  benchmark:
+    env:
+      # The gated Hub repo is unreadable with the job token; tokenize from the staged checkpoint.
+      TOKENIZER: /model
+      # Warmup can leave bytes unacknowledged past AIPerf's 30 s default.
+      AIPERF_HTTP_TCP_USER_TIMEOUT: '900000'
+      AIPERF_REQUIRED_SERVER_METRIC_PREFIX: 'sglang:'
+
+zip_override_tp4:
+  roles:
+    agg:
+      args:
+        max-running-requests: [1, 2, 4, 8, 16, 24, 32, 48, 64, 128]
+  benchmark:
+    env:
+      CONC: ['1', '2', '4', '8', '16', '24', '32', '48', '64', '128']

inferencex-e2e/configs/nvidia-master.yaml

@@ -9206,6 +9206,20 @@ qwen3.8next-fp4-gb300-sglang-agentic-mtp:
         conc-list: [1, 2, 4, 8, 16, 32, 48, 64]
         srt-recipe: agentic.yaml
 
+musespark-fp4-gb300-sglang-agentic-dflash:
+  image: lmsysorg/sglang:dev-muse-spark-open@sha256:8cfc5a72cb296771f5f8a4a4688cb6d05685610a830cbb616fa4ab0eb7bb2b0a
+  model: meta-models/Muse-Spark-Open-816B-A42B-NVFP4
+  model-prefix: musespark
+  runner: cluster:gb300-nv
+  precision: fp4
+  framework: sglang
+  multinode: false
+  srt-recipe-dir: musespark/sglang/gb300-fp4-mtp
+  scenarios:
+    agentic-coding:
+    - search-space:
+      - { tp: 4, ep: 4, kv-offloading: none, spec-decoding: draft_model, conc-list: [1, 2, 4, 8, 16, 24, 32, 48, 64, 128], srt-recipe: agentic.yaml }
+
 qwen3.5-fp8-gb300-dynamo-sglang-agentic-pp-midcurve:
   image: lmsysorg/sglang:nightly-dev-cu13-20260913-fa663e72
   model: Qwen/Qwen3.5-397B-A17B-FP8

inferencex-e2e/configs/runners.yaml

@@ -636,6 +636,7 @@ clusters:
         Kimi-K3: {root: scratch, dir: Kimi-K3}
         MiniMax-M3-MXFP8: {root: data-models, dir: MiniMax-M3-MXFP8}
         MiniMax-M3-NVFP4: {root: scratch, dir: MiniMax-M3-NVFP4}
+        Muse-Spark-Open-816B-A42B-NVFP4: {root: data-models, dir: Muse-Spark-Open-816B-A42B-NVFP4}
         Qwen3.5-397B-A17B-FP8: {root: scratch, dir: Qwen3.5-397B-A17B-FP8}
         Qwen3.5-397B-A17B-NVFP4-V2: {root: scratch, dir: Qwen3.5-397B-A17B-NVFP4-V2}
         Qwen3.5-397B-A17B-NVFP4: {root: scratch, dir: Qwen3.5-397B-A17B-NVFP4-V2}
@@ -671,6 +672,7 @@ clusters:
           rdma-device-ports: [mlx5_0:1, mlx5_1:1, mlx5_2:1, mlx5_3:1]
         job-tag: gb300
         segment-directive: false
+        single-node-models: staged
         container-aliases: [dynamo-trtllm, dynamo-sglang, v0.5.11, v0.5.13.post1]
         nginx-aliases: [nginx-sqsh]
         env:

inferencex-e2e/infx/srt_slurm/single_node.py

@@ -113,9 +113,9 @@ def validate_recipe(recipe: dict[str, Any], environment: Mapping[str, str]) -> N
     if environment["FRAMEWORK"] not in {"sglang", "trt", "atom", "vllm"}:
         raise ValueError(f"Unsupported single-node framework: {environment['FRAMEWORK']!r}")
     spec = spec_parameters(role, engine)
-    if spec and spec["method"] not in {"eagle", "eagle3", "nextn", "mtp", "dspark"}:
+    if spec and spec["method"] not in {"eagle", "eagle3", "nextn", "mtp", "dspark", "dflash"}:
         raise ValueError(
-            "Single-node SRT supports only native MTP, EAGLE3, DSpark or no speculation"
+            "Single-node SRT supports only native MTP, EAGLE3, DSpark, DFlash or no speculation"
         )
     speculation = "mtp" if spec else workload.get("SPEC_DECODING", "none")
     agentic = environment["IS_AGENTIC"] == "1"

inferencex-e2e/infx/srt_slurm/synthetic_acceptance.py

@@ -77,6 +77,16 @@ def spec_parameters(role: Mapping[str, Any], engine: str) -> dict[str, Any]:
         algorithm = next(iter(algorithms), "")
         if not algorithm:
             return {}
+        if algorithm == "dflash":
+            # DFlash verifies a block of the current token plus its drafts.
+            width = args.get("speculative-num-draft-tokens")
+            return {
+                "method": "dflash",
+                "num_speculative_tokens": width - 1
+                if isinstance(width, int) and not isinstance(width, bool)
+                else None,
+                "model": args.get("speculative-draft-model-path", ""),
+            }
         return {
             "method": "dspark" if algorithm == "dspark" else algorithm,
             "num_speculative_tokens": args.get(

inferencex-e2e/infx/tests/srt_slurm/test_synthetic_acceptance.py

@@ -51,6 +51,7 @@ def golden_dir(tmp_path: Path) -> Path:
         ("minimaxm3_eagle3.yaml", "minimax-m3", 2.5),
         ("minimaxm3_eagle3_gqa.yaml", "minimax-m3", 2.6),
         ("glm5.3_mtp.yaml", "glm-5.3", 3.2),
+        ("musespark_dflash.yaml", "muse-spark-open", 3.4),
     ]:
         (directory / filename).write_text(
             yaml.safe_dump(
@@ -177,6 +178,20 @@ def test_kimi_curve_requires_an_explicit_supported_sampler(
                 "SGLANG_SIMULATE_ACC_TOKEN_MODE": "real-draft-token",
             },
         ),
+        (
+            "sglang",
+            {
+                "speculative-algorithm": "DFLASH",
+                "speculative-draft-model-path": "RadixArk/Muse-Spark-Open-DFlash2",
+                "speculative-num-draft-tokens": 4,
+            },
+            {"MODEL_PREFIX": "musespark"},
+            {
+                "SGLANG_SIMULATE_ACC_LEN": "3.4",
+                "SGLANG_SIMULATE_ACC_METHOD": "match-expected",
+                "SGLANG_SIMULATE_ACC_TOKEN_MODE": "real-draft-token",
+            },
+        ),
         (
             "dynamo-sglang",
             {"speculative-algorithm": "EAGLE", "speculative-num-steps": 3},

inferencex-e2e/perf-changelog.yaml

@@ -9892,3 +9892,14 @@
     - "The new image brings Kimi-K3 ROCm changes vllm-project/vllm#59591 (latent MoE up-proj stores only the local rank's shards), #59069 (AttnRes output fused with per-token FP8 input quantization), #60717 (vLLM's FP8 max in that fused quantization), #60446 (KDA autotune keys), #59523 (cuMem CUDA-graph pool offload on ROCm) and #59880 (speculative block reservations across KV cache groups with a KV connector)."
     - "No change to the Inferact/Kimi-K3-DSpark draft's precision: K3DSparkModel and get_draft_quant_config() are unchanged between the two images, so the draft keeps BF16 weights and an fp8 KV cache."
   pr-link: https://github.com/SemiAnalysisAI/InferenceX/pull/3951
+
+- config-keys:
+    - musespark-fp4-gb300-sglang-agentic-dflash
+  scenario-type:
+    - agentic-coding
+  description:
+    - "Add Muse Spark Open (meta-models/Muse-Spark-Open-816B-A42B-NVFP4) agentic coding on GB300 via single-node SGLang (lmsysorg/sglang:dev-muse-spark-open, digest sha256:8cfc5a72cb296771f5f8a4a4688cb6d05685610a830cbb616fa4ab0eb7bb2b0a) with DFlash2 speculative decoding (RadixArk/Muse-Spark-Open-DFlash2, 8-token verification block)."
+    - "Serve flags follow the verified GB300 NVFP4 cell of the SGLang Muse Spark cookbook: TP4/EP4, modelopt_fp4, flashinfer_trtllm MoE, fp8_e4m3 KV, mem-fraction-static 0.8, layernorm SP with MegaMoE, fa4 draft attention, muse reasoning and tool-call parsers. KV stays GPU-resident (no HiCache)."
+    - "Concurrency 1, 2, 4, 8, 16, 24, 32, 48, 64 and 128, with max-running-requests equal to concurrency."
+    - "Synthetic acceptance follows the committed musespark_dflash golden curve: AL 4.05 at 7 draft tokens, thinking_on."
+  pr-link: https://github.com/SemiAnalysisAI/InferenceX/pull/XXX