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2 changes: 1 addition & 1 deletion inferencex-e2e/configs/amd-master.yaml
Original file line number Diff line number Diff line change
Expand Up @@ -1197,7 +1197,7 @@ dsv41flash-fp4-mi325x-vllm-agentic-dspark:
- { tp: 2, kv-offloading: none, spec-decoding: mtp, conc-list: [1, 2, 4, 8, 16, 32], srt-recipe: agentic.yaml }

dsv4-fp4-mi355x-sglang-disagg-agentic-umbp-dspark:
image: lmsysorg/sglang-rocm:v0.5.22-rocm720-mi35x-20261019
image: lmsysorg/sglang-rocm:v0.5.22-rocm10-mi35x-20261026
model: deepseek-ai/DeepSeek-V4-Pro-0813
model-prefix: dsv4
runner: cluster:mi355x-amds
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9 changes: 9 additions & 0 deletions inferencex-e2e/perf-changelog.yaml
Original file line number Diff line number Diff line change
Expand Up @@ -11480,3 +11480,12 @@
- "Update the Muse Spark Open B300 curve to lmsysorg/sglang:nightly-dev-20261021-c1c287a4 and set SGLANG_FLASHINFER_NVFP4_PER_TOKEN_ACTIVATION=0 at every concurrency; run TP8/EP8 at concurrency 1, 4, 8, 10, 14, 16, 20, 24 and TP4/EP4 HiCache at concurrency 16, 28, 32, 40, 44, 48."
- "Use shortest-prefill-first at TP8 concurrency 10-24, stream interval 20 at TP8 concurrency 4, 20, 24 and TP4 concurrency 28-48, SGLANG_TRTLLM_MHA_DECODE_SEQ_LEN_SPLITS=4 at TP4 concurrency 40-48, and at concurrency 44 and 48 request admission 24 and 26 with FCFS, no prefill-decode interval, HiCache write_back and SWA/full ratio 0.1."
pr-link: https://github.com/SemiAnalysisAI/InferenceX/pull/4417

- config-keys:
- dsv4-fp4-mi355x-sglang-disagg-agentic-umbp-dspark
scenario-type:
- agentic-coding
description:
- "Update the MI355X DeepSeek-V4-Pro-0813 SGLang MoRI disaggregated AgentX serving image from lmsysorg/sglang-rocm:v0.5.22-rocm720-mi35x-20261019 to lmsysorg/sglang-rocm:v0.5.22-rocm10-mi35x-20261026, the latest published MI35x ROCm 10 nightly (digest sha256:edabad83728ab04e3eae39f315eb16261eeb64dbdb051112bd22fc88560b60c4)."
- "Preserve all eight concurrency points (1, 16, 32, 48, 192, 256, 384, 512), prefill/decode topology, DSpark settings, UMBP offload, MoRI transfer, and benchmark client image. The workload binder supplies the serving image to every selected recipe variant."
pr-link: https://github.com/SemiAnalysisAI/InferenceX/pull/4571
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