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Original file line number Diff line number Diff line change
Expand Up @@ -58,12 +58,18 @@ base:
AGENTIC_WARMUP_GRACE_PERIOD: '3600'


zip_override_tp8:
zip_override_tp8_hicache:
roles:
agg:
args:
max-running-requests: [2, 4, 8, 16, 32, 48, 64, 96, 128]
cuda-graph-max-bs-decode: [2, 4, 8, 16, 32, 48, 64, 96, 128]
# The host pool keeps evicted agentic prefixes for reuse across turns.
# 160 GB per rank plus the ~30 GB DFlash draft pool exceeded the
# ~1.39 TiB cgroup across 8 ranks; 120 GB keeps the total near 1.2 TB.
enable-hierarchical-cache: true
hicache-size: 120
benchmark:
env:
CONC: ['1', '2', '4', '8', '16', '24', '32', '48', '64']
KV_OFFLOADING: dram
5 changes: 3 additions & 2 deletions inferencex-e2e/configs/nvidia-master.yaml
Original file line number Diff line number Diff line change
Expand Up @@ -8376,8 +8376,9 @@ musespark-fp4-h200-sglang-agentic-dflash:
srt-recipe-dir: musespark/sglang/h200-fp4-mtp
scenarios:
agentic-coding:
- search-space:
- { tp: 8, ep: 8, kv-offloading: none, spec-decoding: draft_model, conc-list: [1, 2, 4, 8, 16, 24, 32, 48, 64], srt-recipe: agentic.yaml }
- dram-utilization: 0.80
search-space:
- { tp: 8, ep: 8, kv-offloading: dram, kv-offload-backend: { name: hicache }, spec-decoding: draft_model, conc-list: [1, 2, 4, 8, 16, 24, 32, 48, 64], srt-recipe: agentic.yaml }

dsv41flash-fp4-b300-vllm-agentic-dspark:
image: vllm/vllm-openai:nightly-dev-x86_64-cu130-ac9126e58aa7
Expand Down
9 changes: 9 additions & 0 deletions inferencex-e2e/perf-changelog.yaml
Original file line number Diff line number Diff line change
Expand Up @@ -10043,3 +10043,12 @@
- "Enable SGLang HiCache CPU DRAM KV offloading above conc 8: the TP4/EP4 and TP8/EP8 conc 12 and 16 points add enable-hierarchical-cache with hicache-size 180 GB per rank and write_through (720 GB at TP4, 1.44 TB at TP8; dram-utilization 0.85), matching the GLM-5.2 MXFP4 MI355X SGLang sibling."
- "Conc 1, 4 and 8 stay GPU-resident with no KV offloading. Image, serve flags, DFlash2 draft and golden AL are unchanged."
pr-link: https://github.com/SemiAnalysisAI/InferenceX/pull/4201

- config-keys:
- musespark-fp4-h200-sglang-agentic-dflash
scenario-type:
- agentic-coding
description:
- "Offload every Muse Spark Open H200 point to host DRAM with SGLang HiCache (120 GB per rank so the target and DFlash draft host pools fit the node cgroup, dram-utilization 0.80), keeping the concurrency 1-64 sweep."
- "Keep the GPU-resident settings unchanged: mem-fraction-static 0.85, matching running-request and decode-graph caps."
pr-link: https://github.com/SemiAnalysisAI/InferenceX/pull/4199
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