Add Qwen3.5-FP8 GB200 SGLang disaggregated benchmark (#1810)

* Add qwen3.5-fp8-gb200-dynamo-sglang disaggregated SGLang benchmark

Qwen3.5-397B-A17B-FP8 GB200 disaggregated SGLang-via-Dynamo, 6 topologies
across 1k/1k and 8k/1k (1P1D TP4 STP plus wide-EP DEP4 prefill / DEP16
decode from 1P1D up to 8P1D). Adds the recipe set, the nvidia-master entry,
the gb200 launch-script model-path and recipe-copy branches, and the
perf-changelog entry.

* Update perf-changelog pr-link for #1810

* Set 1k1k 1p1d-tp4-tp4 context-length to 4096

* chore: refresh PR #1810 for sweep reuse [skip-sweep]

Author: RohitNagraj

.github/configs/nvidia-master.yaml

@@ -9375,6 +9375,114 @@ dsv4-fp4-gb200-dynamo-sglang:
           ep: 12
           dp-attn: true
 
+qwen3.5-fp8-gb200-dynamo-sglang:
+  image: lmsysorg/sglang:nightly-dev-cu13-20260608-303757cc
+  model: Qwen/Qwen3.5-397B-A17B-FP8
+  model-prefix: qwen3.5
+  runner: gb200
+  precision: fp8
+  framework: dynamo-sglang
+  multinode: true
+  disagg: true
+  scenarios:
+    fixed-seq-len:
+    - isl: 1024
+      osl: 1024
+      search-space:
+      # 1P1D STP: TP4 prefill + TP4 decode (pure tensor parallel). 2 nodes (1+1).
+      - spec-decoding: "none"
+        conc-list: [1, 2, 4, 8, 16, 32, 64]
+        prefill:
+          num-worker: 1
+          tp: 4
+          ep: 1
+          dp-attn: false
+          additional-settings:
+          - "CONFIG_FILE=recipes/sglang/qwen3.5/gb200-fp8/1k1k/1p1d-tp4-tp4.yaml"
+        decode:
+          num-worker: 1
+          tp: 4
+          ep: 1
+          dp-attn: false
+      # 1P1D wide-EP: prefill DEP4 + decode DEP16. 5 nodes (1+4).
+      - spec-decoding: "none"
+        conc-list: [512, 1024, 2048]
+        prefill:
+          num-worker: 1
+          tp: 4
+          ep: 4
+          dp-attn: true
+          additional-settings:
+          - "CONFIG_FILE=recipes/sglang/qwen3.5/gb200-fp8/1k1k/1p1d-dep4-dep16.yaml"
+        decode:
+          num-worker: 1
+          tp: 16
+          ep: 16
+          dp-attn: true
+      # 2P1D wide-EP: 2 prefill DEP4 + decode DEP16. 6 nodes (2+4).
+      - spec-decoding: "none"
+        conc-list: [4096]
+        prefill:
+          num-worker: 2
+          tp: 4
+          ep: 4
+          dp-attn: true
+          additional-settings:
+          - "CONFIG_FILE=recipes/sglang/qwen3.5/gb200-fp8/1k1k/2p1d-dep4-dep16.yaml"
+        decode:
+          num-worker: 1
+          tp: 16
+          ep: 16
+          dp-attn: true
+    - isl: 8192
+      osl: 1024
+      search-space:
+      # 1P1D STP: TP4 prefill + TP4 decode (pure tensor parallel). 2 nodes (1+1).
+      - spec-decoding: "none"
+        conc-list: [1, 2, 4, 8, 16, 32, 64, 128]
+        prefill:
+          num-worker: 1
+          tp: 4
+          ep: 1
+          dp-attn: false
+          additional-settings:
+          - "CONFIG_FILE=recipes/sglang/qwen3.5/gb200-fp8/8k1k/1p1d-tp4-tp4.yaml"
+        decode:
+          num-worker: 1
+          tp: 4
+          ep: 1
+          dp-attn: false
+      # 4P1D wide-EP: 4 prefill DEP4 + decode DEP16. 8 nodes (4+4).
+      - spec-decoding: "none"
+        conc-list: [1024]
+        prefill:
+          num-worker: 4
+          tp: 4
+          ep: 4
+          dp-attn: true
+          additional-settings:
+          - "CONFIG_FILE=recipes/sglang/qwen3.5/gb200-fp8/8k1k/4p1d-dep4-dep16.yaml"
+        decode:
+          num-worker: 1
+          tp: 16
+          ep: 16
+          dp-attn: true
+      # 8P1D wide-EP: 8 prefill DEP4 + decode DEP16. 12 nodes (8+4).
+      - spec-decoding: "none"
+        conc-list: [2048, 4096]
+        prefill:
+          num-worker: 8
+          tp: 4
+          ep: 4
+          dp-attn: true
+          additional-settings:
+          - "CONFIG_FILE=recipes/sglang/qwen3.5/gb200-fp8/8k1k/8p1d-dep4-dep16.yaml"
+        decode:
+          num-worker: 1
+          tp: 16
+          ep: 16
+          dp-attn: true
+
 dsv4-fp4-b300-dynamo-vllm:
   image: vllm/vllm-openai:v0.20.1
   model: deepseek-ai/DeepSeek-V4-Pro

benchmarks/multi_node/srt-slurm-recipes/sglang/qwen3.5/gb200-fp8/1k1k/1p1d-dep4-dep16.yaml

@@ -0,0 +1,155 @@
+name: "qwen3.5-1p1d-dep4-dep16"
+
+setup_script: rebuild-deepep.sh
+
+dynamo:
+  hash: 46520ca59afe992fb5ef61b3197b2316f8df9b2b
+  install: true
+
+frontend:
+  type: dynamo
+  enable_multiple_frontends: true
+  num_additional_frontends: 1
+  nginx_container: nginx
+
+model:
+  path: "qwen3.5-fp8"
+  container: "lmsysorg/sglang:nightly-dev-cu13-20260608-303757cc"
+  precision: "fp8"
+
+resources:
+  gpu_type: "gb200"
+  gpus_per_node: 4
+  prefill_nodes: 1
+  decode_nodes: 4
+  prefill_workers: 1
+  decode_workers: 1
+
+backend:
+  type: sglang
+
+  prefill_environment:
+    SGLANG_JIT_DEEPGEMM_PRECOMPILE: "0"
+    NO_COLOR: "1"
+    TORCH_DISTRIBUTED_DEFAULT_TIMEOUT: "3600"
+    TORCH_NCCL_WATCHDOG_TIMEOUT_SEC: "3600"
+    TORCH_NCCL_HEARTBEAT_TIMEOUT_SEC: "3600"
+    PYTHONUNBUFFERED: "1"
+    NCCL_MNNVL_ENABLE: "1"
+    NCCL_CUMEM_ENABLE: "1"
+    MC_FORCE_MNNVL: "1"
+    SGLANG_DG_CACHE_DIR: "/configs/deepgemm-cache"
+    FLASHINFER_WORKSPACE_BASE: "/configs/flashinfer-cache"
+    SGLANG_DISAGGREGATION_HEARTBEAT_MAX_FAILURE: "100000"
+    SGLANG_DISAGGREGATION_BOOTSTRAP_TIMEOUT: "100000"
+    SGLANG_DISAGGREGATION_WAITING_TIMEOUT: "100000"
+    SGLANG_MOONCAKE_CUSTOM_MEM_POOL: "True"
+    SGLANG_USE_MESSAGE_QUEUE_BROADCASTER: "0"
+    SGLANG_DISABLE_TP_MEMORY_INBALANCE_CHECK: "1"
+    SGLANG_HEALTH_STARTING_OK: "1"
+    SGLANG_ENABLE_HEALTH_ENDPOINT_GENERATION: "0"
+
+  decode_environment:
+    SGLANG_JIT_DEEPGEMM_PRECOMPILE: "0"
+    NO_COLOR: "1"
+    TORCH_DISTRIBUTED_DEFAULT_TIMEOUT: "3600"
+    TORCH_NCCL_WATCHDOG_TIMEOUT_SEC: "3600"
+    TORCH_NCCL_HEARTBEAT_TIMEOUT_SEC: "3600"
+    PYTHONUNBUFFERED: "1"
+    NCCL_MNNVL_ENABLE: "1"
+    NCCL_CUMEM_ENABLE: "1"
+    MC_FORCE_MNNVL: "1"
+    MC_TE_METRIC: "true"
+    SGLANG_DG_CACHE_DIR: "/tmp/deepgemm-cache"
+    FLASHINFER_WORKSPACE_BASE: "/configs/flashinfer-cache"
+    SGLANG_DISAGGREGATION_HEARTBEAT_MAX_FAILURE: "100000"
+    SGLANG_DISAGGREGATION_BOOTSTRAP_TIMEOUT: "100000"
+    SGLANG_DISAGGREGATION_WAITING_TIMEOUT: "100000"
+    SGLANG_DECODE_BOOTSTRAP_TIMEOUT: "1000"
+    SGLANG_HACK_SEQ_BOOTSTRAP_ROOM: "1"
+    SGLANG_MOONCAKE_CUSTOM_MEM_POOL: "True"
+    SGLANG_USE_MESSAGE_QUEUE_BROADCASTER: "0"
+    SGLANG_DISABLE_TP_MEMORY_INBALANCE_CHECK: "1"
+    SGLANG_DEEPEP_NUM_MAX_DISPATCH_TOKENS_PER_RANK: "512"
+    SGLANG_HEALTH_CHECK_TIMEOUT: "1800"
+    SGLANG_HEALTH_STARTING_OK: "1"
+    SGLANG_ENABLE_HEALTH_ENDPOINT_GENERATION: "0"
+
+  sglang_config:
+    prefill:
+      served-model-name: "Qwen/Qwen3.5-397B-A17B-FP8"
+      model-path: "/model/"
+      quantization: "fp8"
+      kv-cache-dtype: "fp8_e4m3"
+      trust-remote-code: true
+
+      tensor-parallel-size: 4
+      data-parallel-size: 4
+      expert-parallel-size: 4
+      enable-dp-attention: true
+      enable-dp-lm-head: true
+
+      mamba-scheduler-strategy: "no_buffer"
+      mamba-track-interval: 2048
+      mamba-ssm-dtype: "bfloat16"
+      disaggregation-mode: "prefill"
+      disable-radix-cache: true
+      disaggregation-bootstrap-port: 31000
+      mem-fraction-static: 0.8
+      chunked-prefill-size: 65536
+      load-balance-method: "round_robin"
+      watchdog-timeout: 1000000
+      disable-cuda-graph: true
+      log-level: "info"
+      page-size: 64
+      attention-backend: "trtllm_mha"
+      moe-runner-backend: "flashinfer_trtllm"
+
+    decode:
+      served-model-name: "Qwen/Qwen3.5-397B-A17B-FP8"
+      model-path: "/model/"
+      trust-remote-code: true
+      quantization: "fp8"
+      kv-cache-dtype: "fp8_e4m3"
+
+      tensor-parallel-size: 16
+      data-parallel-size: 16
+      expert-parallel-size: 16
+      enable-dp-attention: true
+      enable-dp-lm-head: true
+      prefill-round-robin-balance: true
+
+      mamba-scheduler-strategy: "no_buffer"
+      mamba-track-interval: 128
+      mamba-ssm-dtype: "bfloat16"
+
+      disaggregation-mode: "decode"
+      disable-radix-cache: true
+      disaggregation-bootstrap-port: 31000
+
+      chunked-prefill-size: 4096
+      context-length: 4096
+      mem-fraction-static: 0.80
+      max-mamba-cache-size: 2048
+      max-running-requests: 2048
+      cuda-graph-max-bs: 128
+      watchdog-timeout: 1000000
+
+      page-size: 64
+      attention-backend: "trtllm_mha"
+      moe-runner-backend: "deep_gemm"
+      moe-a2a-backend: "deepep"
+      deepep-mode: "low_latency"
+      ep-dispatch-algorithm: "static"
+      eplb-algorithm: "deepseek"
+
+      decode-log-interval: 1
+      stream-interval: 50
+
+benchmark:
+  type: "sa-bench"
+  isl: 1024
+  osl: 1024
+  req_rate: "inf"
+  random_range_ratio: 0.8
+  concurrencies: "512x1024x2048"

benchmarks/multi_node/srt-slurm-recipes/sglang/qwen3.5/gb200-fp8/1k1k/1p1d-tp4-tp4.yaml

@@ -0,0 +1,123 @@
+name: "qwen3.5-1p1d-tp4-tp4"
+
+sbatch_directives:
+  mem: "0"
+
+dynamo:
+  hash: 46520ca59afe992fb5ef61b3197b2316f8df9b2b
+  install: true
+
+frontend:
+  type: dynamo
+  enable_multiple_frontends: true
+  num_additional_frontends: 1
+  nginx_container: nginx
+
+model:
+  path: "qwen3.5-fp8"
+  container: "lmsysorg/sglang:nightly-dev-cu13-20260608-303757cc"
+  precision: "fp8"
+
+resources:
+  gpu_type: "gb200"
+  gpus_per_node: 4
+  prefill_nodes: 1
+  decode_nodes: 1
+  prefill_workers: 1
+  decode_workers: 1
+
+backend:
+  type: sglang
+
+  prefill_environment:
+    SGLANG_JIT_DEEPGEMM_PRECOMPILE: "0"
+    TORCH_DISTRIBUTED_DEFAULT_TIMEOUT: "3600"
+    TORCH_NCCL_WATCHDOG_TIMEOUT_SEC: "3600"
+    TORCH_NCCL_HEARTBEAT_TIMEOUT_SEC: "3600"
+    PYTHONUNBUFFERED: "1"
+    NCCL_MNNVL_ENABLE: "1"
+    NCCL_CUMEM_ENABLE: "1"
+    SGLANG_DG_CACHE_DIR: "/configs/deepgemm-cache"
+    FLASHINFER_WORKSPACE_BASE: "/configs/flashinfer-cache"
+    SGLANG_DISAGGREGATION_HEARTBEAT_MAX_FAILURE: "100000"
+    SGLANG_DISAGGREGATION_BOOTSTRAP_TIMEOUT: "100000"
+    SGLANG_DISAGGREGATION_WAITING_TIMEOUT: "100000"
+    SGLANG_USE_MESSAGE_QUEUE_BROADCASTER: "0"
+    SGLANG_MOONCAKE_CUSTOM_MEM_POOL: "True"
+    MC_FORCE_MNNVL: "1"
+
+  decode_environment:
+    SGLANG_JIT_DEEPGEMM_PRECOMPILE: "0"
+    TORCH_DISTRIBUTED_DEFAULT_TIMEOUT: "3600"
+    TORCH_NCCL_WATCHDOG_TIMEOUT_SEC: "3600"
+    TORCH_NCCL_HEARTBEAT_TIMEOUT_SEC: "3600"
+    PYTHONUNBUFFERED: "1"
+    NCCL_MNNVL_ENABLE: "1"
+    NCCL_CUMEM_ENABLE: "1"
+    SGLANG_DG_CACHE_DIR: "/configs/deepgemm-cache"
+    FLASHINFER_WORKSPACE_BASE: "/configs/flashinfer-cache"
+    SGLANG_DISAGGREGATION_HEARTBEAT_MAX_FAILURE: "100000"
+    SGLANG_DISAGGREGATION_BOOTSTRAP_TIMEOUT: "100000"
+    SGLANG_DISAGGREGATION_WAITING_TIMEOUT: "100000"
+    SGLANG_DECODE_BOOTSTRAP_TIMEOUT: "1000"
+    SGLANG_MOONCAKE_CUSTOM_MEM_POOL: "True"
+    SGLANG_USE_MESSAGE_QUEUE_BROADCASTER: "0"
+    SGLANG_HEALTH_CHECK_TIMEOUT: "3600"
+    SGLANG_HEALTH_STARTING_OK: "1"
+    SGLANG_ENABLE_HEALTH_ENDPOINT_GENERATION: "0"
+    MC_FORCE_MNNVL: "1"
+    MC_TE_METRIC: "true"
+    SGLANG_HACK_SEQ_BOOTSTRAP_ROOM: "1"
+
+  sglang_config:
+    prefill:
+      served-model-name: "Qwen/Qwen3.5-397B-A17B-FP8"
+      model-path: "/model/"
+      quantization: "fp8"
+      kv-cache-dtype: "fp8_e4m3"
+      trust-remote-code: true
+      attention-backend: "trtllm_mha"
+      tensor-parallel-size: 4
+      mamba-ssm-dtype: "bfloat16"
+      moe-runner-backend: "flashinfer_trtllm"
+      disable-radix-cache: true
+      max-running-requests: 1024
+      mem-fraction-static: 0.8
+      chunked-prefill-size: 16384
+      max-prefill-tokens: 16384
+      context-length: 4096
+      cuda-graph-max-bs: 1024
+      decode-log-interval: 1
+      stream-interval: 50
+      disaggregation-mode: "prefill"
+
+    decode:
+      served-model-name: "Qwen/Qwen3.5-397B-A17B-FP8"
+      model-path: "/model/"
+      quantization: "fp8"
+      kv-cache-dtype: "fp8_e4m3"
+      trust-remote-code: true
+      attention-backend: "trtllm_mha"
+      tensor-parallel-size: 4
+      mamba-ssm-dtype: "bfloat16"
+      moe-runner-backend: "flashinfer_trtllm"
+      disable-radix-cache: true
+      max-running-requests: 1024
+      mem-fraction-static: 0.8
+      chunked-prefill-size: 16384
+      max-prefill-tokens: 16384
+      context-length: 4096
+      cuda-graph-max-bs: 1024
+      decode-log-interval: 1
+      stream-interval: 50
+      disaggregation-mode: "decode"
+
+benchmark:
+  type: "sa-bench"
+  isl: 1024
+  osl: 1024
+  req_rate: "inf"
+  num_prompts_mult: 10
+  num_warmup_mult: 1
+  random_range_ratio: 0.8
+  concurrencies: "1x2x4x8x16x32x64"