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2 changes: 1 addition & 1 deletion inferencex-e2e/configs/nvidia-master.yaml
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Expand Up @@ -8792,7 +8792,7 @@ qwen3.5-fp8-gb300-dynamo-sglang-mtp:
# caps batched tokens at 4096. Concurrency is bounded by the measured KV
# ceiling rather than a guess; see the search-space comment.
dsv41flash-fp4-h100-vllm-agentic-dspark:
image: vllm/vllm-openai:nightly-e4a5b5537344b103ed10de7764378ef09604ef3d@sha256:6b90105076216e861cd30fae8828efef9263a0399137b894289f3b6a685bf4ff
image: vllm/vllm-openai:nightly-00b6c4c565a8732c131e1f452d4a17803bb0842b@sha256:76a9614ed4ed20694914c87e82a0344bd73e1c6e081459a2467175ab903657e4
model: deepseek-ai/DeepSeek-V4.1-Flash
model-prefix: dsv41flash
runner: cluster:h100-dsxe
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7 changes: 7 additions & 0 deletions inferencex-e2e/perf-changelog.yaml
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Expand Up @@ -11565,3 +11565,10 @@
- "Rerun the whole curve so every point uses the FP8 draft KV cache."
pr-link: https://github.com/SemiAnalysisAI/InferenceX/pull/4524
scenario-type: [agentic-coding]

- config-keys:
- dsv41flash-fp4-h100-vllm-agentic-dspark
description:
- "Update the vLLM image from nightly-e4a5b5537344 to nightly-00b6c4c565a8, pinned by digest."
pr-link: https://github.com/SemiAnalysisAI/InferenceX/pull/4569
scenario-type: [agentic-coding]
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