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[NV] Update B300 DSV4 SGLang Pareto sweep #1575

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a947d18
Update B300 DSV4 SGLang sweep
YAMY1234 May 22, 2026
c183bc8
Resolve B300 DSV4 SGLang PR conflicts
YAMY1234 May 22, 2026
deee4cc
Merge remote-tracking branch 'origin/main' into dsv4-b300-sglang-html…
Ankur-singh May 27, 2026
999175d
dsv4-fp4-b300-sglang: use dev-cu13 image; fix changelog pr-link and s…
Ankur-singh Jun 4, 2026
fbeb15a
Merge origin/main into dsv4-b300-sglang-html-frontier
Ankur-singh Jun 4, 2026
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34 changes: 11 additions & 23 deletions .github/configs/nvidia-master.yaml
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Original file line number Diff line number Diff line change
Expand Up @@ -1999,44 +1999,32 @@ dsr1-fp8-b300-sglang:
- { tp: 8, ep: 1, conc-start: 1, conc-end: 4 }
- { tp: 4, ep: 1, conc-start: 1, conc-end: 32 }

# NOTE: https://docs.sglang.io/cookbook/autoregressive/DeepSeek/DeepSeek-V4
# lists B200 (not B300) as the Blackwell target. This config reuses the
# B200 Pro FP4 Max-Throughput recipe (DP=8 + DeepEP, no MTP) on B300
# until a B300-specific recipe ships. Prefix caching is disabled.
# Parallelisms and concurrency ranges mirror dsv4-fp4-b200-vllm.
# DeepSeek-V4-Pro on B300 with SGLang (non-MTP). This follows the 8k/1k
# submission frontier from the 2026-05-19 Pareto HTML:
# TP-only low-latency line: TP8/EP1, no DP attention, c1-c64
# DP-attention throughput line: DEP8, DP attention, c512-c2048
dsv4-fp4-b300-sglang:
image: lmsysorg/sglang:deepseek-v4-b300@sha256:2fec8d7958bb0d53b50d7bf04d6ae6a7de8a35503775826e0550a45dd8c3ee15
image: lmsysorg/sglang:nightly-dev-cu13-20260522-7cf193fe
model: deepseek-ai/DeepSeek-V4-Pro
model-prefix: dsv4
runner: b300
precision: fp4
framework: sglang
multinode: false
# Three recipes from https://docs.sglang.io/cookbook/autoregressive/DeepSeek/DeepSeek-V4
# are selected inside benchmarks/single_node/dsv4_fp4_b300_sglang.sh by CONC:
# low-latency (CONC <= 32): TP-only
# balanced (32 < CONC <= 128): + DP-attn
# max-throughput (CONC > 128): + DP-attn
# Split so result filenames (ep=, dpa=) accurately reflect the recipe.
# ep is implicit in sglang: --moe-a2a-backend deepep forces ep_size=tp_size,
# while low-latency leaves ep_size at the default of 1.
# The benchmark script maps dp-attn=false to the TP-only recipe and
# dp-attn=true to the mixed-chunk DEP8 throughput recipe.
scenarios:
fixed-seq-len:
- isl: 1024
osl: 1024
search-space:
- { tp: 8, ep: 1, conc-start: 1, conc-end: 1 }
- { tp: 4, ep: 1, conc-start: 32, conc-end: 32 }
- { tp: 4, ep: 4, dp-attn: true, conc-start: 512, conc-end: 512 }
- { tp: 8, ep: 8, dp-attn: true, conc-start: 8192, conc-end: 8192 }
- { tp: 8, ep: 1, dp-attn: false, conc-list: [1, 2, 4, 8, 16, 32, 64] }
- { tp: 8, ep: 8, dp-attn: true, conc-list: [512, 768, 1024, 1536, 2048] }
- isl: 8192
osl: 1024
search-space:
- { tp: 8, ep: 1, conc-start: 1, conc-end: 1 }
- { tp: 4, ep: 1, conc-start: 32, conc-end: 32 }
- { tp: 4, ep: 4, dp-attn: true, conc-start: 512, conc-end: 512 }
- { tp: 8, ep: 8, dp-attn: true, conc-start: 2048, conc-end: 2048 }
- { tp: 8, ep: 8, dp-attn: true, conc-start: 4096, conc-end: 4096 }
- { tp: 8, ep: 1, dp-attn: false, conc-list: [1, 2, 4, 8, 16, 32, 64] }
- { tp: 8, ep: 8, dp-attn: true, conc-list: [512, 768, 1024, 1536, 2048] }
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# DeepSeek-V4-Pro on B300 with EAGLE/MTP speculative decoding. Recipe is
# selected inside benchmarks/single_node/dsv4_fp4_b300_sglang_mtp.sh by
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132 changes: 42 additions & 90 deletions benchmarks/single_node/dsv4_fp4_b300_sglang.sh
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Original file line number Diff line number Diff line change
Expand Up @@ -25,7 +25,6 @@ fi
nvidia-smi

# Common SGLANG env vars (apply to every config).
export SGLANG_JIT_DEEPGEMM_PRECOMPILE=0
export SGLANG_OPT_SWA_SPLIT_LEAF_ON_INSERT=1
export SGLANG_OPT_USE_JIT_NORM=1
export SGLANG_OPT_USE_JIT_INDEXER_METADATA=1
Expand All @@ -48,6 +47,8 @@ EVAL_CONTEXT_ARGS=""
if [ "${EVAL_ONLY}" = "true" ]; then
setup_eval_context
EVAL_CONTEXT_ARGS="--context-length $EVAL_MAX_MODEL_LEN"
else
EVAL_CONTEXT_ARGS="--context-length 16384"
fi

start_gpu_monitor --output "$PWD/gpu_metrics.csv"
Expand All @@ -60,105 +61,56 @@ else
SWA_FULL_TOKENS_RATIO=0.1
fi

# Pick the parallelism + MoE backend based on DP_ATTENTION (mirrors the vllm
# script's pattern). DP-attention runs the empirically-tuned high-concurrency
# recipe (flashinfer_mxfp4 runner + halved prefill chunks + prefill-delayer);
# single-instance uses flashinfer_mxfp4 with the cookbook defaults.
DEEPEP_CONFIG='{"normal_dispatch":{"num_sms":96},"normal_combine":{"num_sms":96}}'

# Default; the DP-attn branch below overrides to 0.94.
MEM_FRACTION_STATIC=0.90
# Pick the launch recipe based on the two-line submission frontier:
# TP8/no-DP-attn for low latency and DEP8/DP-attn for throughput.

if [ "${DP_ATTENTION}" = "true" ]; then
export SGLANG_JIT_DEEPGEMM_PRECOMPILE=0
export SGLANG_CLIP_MAX_NEW_TOKENS_ESTIMATION=8
export SGLANG_OPT_SWA_EVICT_DROP_PAGE_MARGIN=1
export SGLANG_OPT_USE_FAST_MASK_EP=1
export SGLANG_OPT_FIX_MEGA_MOE_MEMORY=1
export SGLANG_OPT_FIX_NEXTN_MEGA_MOE=1
export SGLANG_DEEPEP_NUM_MAX_DISPATCH_TOKENS_PER_RANK=0
# ep=8 in the yaml signals the mega_moe deepep backend; check high-conc
# recipes first (they also have ep=8) so they aren't shadowed by the
# medium-conc EP_SIZE=8 branch below.
if [ "$CONC" = "2048" ] || [ "$CONC" = "4096" ] || [ "$CONC" = "8192" ]; then
export NVSHMEM_DISABLE_IB=1
export SGLANG_OPT_SWA_RELEASE_LEAF_LOCK_AFTER_WINDOW=1
export SGLANG_OPT_USE_DEEPGEMM_MEGA_MOE=1
export SGLANG_OPT_FIX_HASH_MEGA_MOE=1
if [ "$CONC" = "2048" ]; then
export SGLANG_LOG_FORWARD_ITERS=1
export SGLANG_OPT_DEEPGEMM_MEGA_MOE_NUM_MAX_TOKENS_PER_RANK=8320
CUDA_GRAPH_MAX_BS=288
MAX_RUNNING_REQUESTS=2560
MEM_FRACTION_STATIC=0.87
SWA_FULL_TOKENS_RATIO=0.06
TOKENIZER_WORKER_NUM=4
elif [ "$CONC" = "4096" ]; then
export SGLANG_OPT_DEEPGEMM_MEGA_MOE_NUM_MAX_TOKENS_PER_RANK=8320
CUDA_GRAPH_MAX_BS=544
MAX_RUNNING_REQUESTS=4352
MEM_FRACTION_STATIC=0.835
SWA_FULL_TOKENS_RATIO=0.075
TOKENIZER_WORKER_NUM=8
else
export SGLANG_OPT_USE_ONLINE_COMPRESS=1
export SGLANG_OPT_DEEPGEMM_MEGA_MOE_NUM_MAX_TOKENS_PER_RANK=8256
CUDA_GRAPH_MAX_BS=1088
MAX_RUNNING_REQUESTS=8192
MEM_FRACTION_STATIC=0.80
SWA_FULL_TOKENS_RATIO=0.3
TOKENIZER_WORKER_NUM=16
fi
PARALLEL_ARGS=(
--dp-size "$TP"
--enable-dp-attention
--moe-a2a-backend deepep
--cuda-graph-max-bs "$CUDA_GRAPH_MAX_BS"
--deepep-config "$DEEPEP_CONFIG"
--chunked-prefill-size 65536
--tokenizer-worker-num "$TOKENIZER_WORKER_NUM"
--enable-prefill-delayer
)
if [ "$CONC" = "4096" ]; then
PARALLEL_ARGS+=(--decode-log-interval 5)
fi
if [ "$CONC" = "8192" ]; then
PARALLEL_ARGS+=(--stream-interval 30)
fi
elif [ "${EP_SIZE}" = "8" ]; then
export NVSHMEM_DISABLE_IB=1
export SGLANG_OPT_USE_DEEPGEMM_MEGA_MOE=1
export SGLANG_OPT_FIX_HASH_MEGA_MOE=1
export SGLANG_OPT_DEEPGEMM_MEGA_MOE_NUM_MAX_TOKENS_PER_RANK=550
PARALLEL_ARGS=(
--dp-size "$TP"
--enable-dp-attention
--moe-a2a-backend deepep
--cuda-graph-max-bs 550
--deepep-config "$DEEPEP_CONFIG"
--chunked-prefill-size 16384
--enable-prefill-delayer
)
MAX_RUNNING_REQUESTS=768
MEM_FRACTION_STATIC=0.94
else
export SGLANG_OPT_USE_DEEPGEMM_MEGA_MOE=0
export SGLANG_OPT_FIX_HASH_MEGA_MOE=0
export SGLANG_OPT_DEEPGEMM_MEGA_MOE_NUM_MAX_TOKENS_PER_RANK=4096
PARALLEL_ARGS=(
--dp-size "$TP"
--enable-dp-attention
--moe-runner-backend flashinfer_mxfp4
--disable-flashinfer-autotune
--deepep-config "$DEEPEP_CONFIG"
--chunked-prefill-size 16384
--enable-prefill-delayer
)
MEM_FRACTION_STATIC=0.94
fi
export NVSHMEM_DISABLE_IB=1
export SGLANG_OPT_SWA_RELEASE_LEAF_LOCK_AFTER_WINDOW=1
export SGLANG_OPT_USE_ONLINE_COMPRESS=1
export SGLANG_OPT_DEEPGEMM_MEGA_MOE_NUM_MAX_TOKENS_PER_RANK=2048
export SGLANG_OPT_DEEPGEMM_MEGA_MOE_USE_FP4_ACTS=1
export SGLANG_OPT_DEEPGEMM_MEGA_MOE_USE_MXF4_KIND=1
export SGLANG_EXPERIMENTAL_ENABLE_PIECEWISE_CUDA_GRAPH_MOE_A2A=1
export NCCL_MNNVL_ENABLE=1
export NCCL_CUMEM_ENABLE=1
export MC_FORCE_MNNVL=1
export SGLANG_MOONCAKE_CUSTOM_MEM_POOL=True

MEM_FRACTION_STATIC=0.835
MAX_RUNNING_REQUESTS=4352
SWA_FULL_TOKENS_RATIO=0.075
PARALLEL_ARGS=(
--dp-size "$TP"
--enable-dp-attention
--moe-a2a-backend megamoe
--cuda-graph-max-bs 544
--enable-mixed-chunk
--chunked-prefill-size 16384
--max-prefill-tokens 16384
--tokenizer-worker-num 8
--decode-log-interval 5
--stream-interval 30
)
else
export SGLANG_JIT_DEEPGEMM_PRECOMPILE=1
MEM_FRACTION_STATIC=0.90
MAX_RUNNING_REQUESTS=512
PARALLEL_ARGS=(
--moe-runner-backend flashinfer_mxfp4
--chunked-prefill-size 8192
--disable-flashinfer-autotune
--cuda-graph-max-bs 512
--tokenizer-worker-num 8
--decode-log-interval 60
--stream-interval 30
--scheduler-recv-interval 30
)
fi

Expand All @@ -177,7 +129,7 @@ PYTHONNOUSERSITE=1 sglang serve \
--port $PORT \
--trust-remote-code \
--tp $TP \
--max-running-requests "${MAX_RUNNING_REQUESTS:-$(( CONC * 3 / 2 > 8 ? CONC * 3 / 2 : 8 ))}" \
--max-running-requests "$MAX_RUNNING_REQUESTS" \
--mem-fraction-static "$MEM_FRACTION_STATIC" \
--swa-full-tokens-ratio "$SWA_FULL_TOKENS_RATIO" \
"${PARALLEL_ARGS[@]}" $EVAL_CONTEXT_ARGS >> $SERVER_LOG 2>&1 &
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8 changes: 8 additions & 0 deletions perf-changelog.yaml
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Original file line number Diff line number Diff line change
Expand Up @@ -3171,3 +3171,11 @@
description:
- "Validates measured-power aggregation pipeline (PR #1558) on both NVIDIA (H200) and AMD (MI355X) hardware — different SMI tools (nvidia-smi vs amd-smi), different CSV schemas (power.draw [W] vs socket_power), same aggregator. No config change. Entry intentionally kept past merge so run-sweep produces canonical agg JSONs with avg_power_w + joules_per_output_token on main for both vendors, seeding the dashboard's day-zero data."
pr-link: https://github.com/SemiAnalysisAI/InferenceX/pull/1558

- config-keys:
- dsv4-fp4-b300-sglang
description:
- "Update DeepSeek-V4-Pro FP4 B300 SGLang non-MTP sweep to the 2026-05-19 8k/1k submission frontier: TP8 no-DP-attention c1-c64 and DEP8 DP-attention c512/c768/c1024/c1536/c2048"
- "Use lmsysorg/sglang:nightly-dev-cu13-20260522-7cf193fe to pick up the merged SGLang warmup path"
- "Map dp-attn=false to TP8 flashinfer_mxfp4 with chunked-prefill 8192; map dp-attn=true to DEP8 mixed-chunk MegaMoE throughput settings"
pr-link: https://github.com/SemiAnalysisAI/InferenceX/pull/1552

Check failure on line 3181 in perf-changelog.yaml

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Claude / Claude Code Review

perf-changelog pr-link references superseded PR #1552 instead of merging PR #1575 

The new `perf-changelog.yaml` entry's `pr-link` points to PR #1552 (the closed/superseded original), but the merging PR is #1575. This breaks the file's convention (every neighboring entry links to its own merging PR) and will trip `utils/merge_with_reuse.sh`: its conflict-resolution helper skips entries whose link doesn't end with `/pull/<current-pr>`, and the post-merge `assert last["pr-link"].endswith("/$PR")` would fail. Change the link to `/pull/1575` (or use the `XXX` placeholder).
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@claude claude Bot May 27, 2026

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🔴 The new perf-changelog.yaml entry's pr-link points to PR #1552 (the closed/superseded original), but the merging PR is #1575. This breaks the file's convention (every neighboring entry links to its own merging PR) and will trip utils/merge_with_reuse.sh: its conflict-resolution helper skips entries whose link doesn't end with /pull/<current-pr>, and the post-merge assert last["pr-link"].endswith("/$PR") would fail. Change the link to /pull/1575 (or use the XXX placeholder).

Extended reasoning...

What the bug is

The new entry appended at perf-changelog.yaml:3175-3181 sets:

  pr-link: https://github.com/SemiAnalysisAI/InferenceX/pull/1552

…but the PR being merged is #1575 (the rebased successor — the PR description itself notes "Rebased copy of #1552 with origin/main merged in"). PR #1552 is closed and will not contain the merge commit for these changes.

Why this is a real issue, not just cosmetic

Every other recent entry in perf-changelog.yaml links to its own merging PR (e.g. the immediately preceding dsv4-fp4-mi355x-sglang entry → /pull/1568, others → /pull/1555, /pull/1558, /pull/1516, /pull/1354). AGENTS.md documents this convention. More importantly, the repo's canonical merge tool utils/merge_with_reuse.sh (referenced from .claude/commands/merge-prs.md) enforces it programmatically:

  • At ~line 136, when resolving perf-changelog.yaml conflicts it filters incoming entries with: if "XXX" not in link and not link.endswith(f"/pull/{pr}"): continue. With pr=1575 and link=…/pull/1552, this entry would be silently skipped during automated conflict resolution, producing "No PR contributions found".
  • At ~line 172, after the merge it runs assert last["pr-link"].endswith("/$PR"). With $PR=1575 and the last entry pointing at /pull/1552, this assertion would fail.

Step-by-step proof

  1. Maintainer runs utils/merge_with_reuse.sh 1575.
  2. The script fetches origin/main, attempts the merge, and hits a conflict in perf-changelog.yaml (likely, given how frequently this file changes).
  3. The embedded Python helper walks the incoming entries from the PR branch. For each new entry it checks:
    if "XXX" not in link and not link.endswith(f"/pull/{pr}"): continue
    With pr = "1575" and link = "https://github.com/SemiAnalysisAI/InferenceX/pull/1552", the condition is true → the entry is dropped from the merged result.
  4. Even if no conflict arises (so the helper isn't invoked), the post-merge sanity check runs:
    assert last["pr-link"].endswith(f"/{pr}")
    Since the last entry is the new one and ends with /1552, this assertion raises and the merge tool aborts.
  5. Downstream readers using pr-link to find the diff/merge commit land on a closed, superseded PR instead of the one that actually merged.

Fix

Update line 3181 to:

  pr-link: https://github.com/SemiAnalysisAI/InferenceX/pull/1575

or, equivalently, use the XXX placeholder that merge_with_reuse.sh rewrites at merge time:

  pr-link: https://github.com/SemiAnalysisAI/InferenceX/pull/XXX

The historical reference to #1552 (which the PR description already provides) can stay in the PR description; the changelog entry should point at the PR that actually lands the change, both for convention and for tooling correctness.

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