diff --git a/inferencex-e2e/configs/nvidia-master.yaml b/inferencex-e2e/configs/nvidia-master.yaml index 10d004b957..cfb4cd316f 100644 --- a/inferencex-e2e/configs/nvidia-master.yaml +++ b/inferencex-e2e/configs/nvidia-master.yaml @@ -5746,13 +5746,12 @@ minimaxm3-fp4-gb200-dynamo-vllm-agentic-agg-mtp: ep: 1 dp-attn: false -# MiniMax-M3.1-Flash AgentX on GB200 with SGLang: day-zero image from the SGLang -# cookbook (https://docs.sglang.io/cookbook/autoregressive/MiniMax/MiniMax-M3.1), -# manifest digest verified 2026-10-24. +# MiniMax-M3.1-Flash AgentX on GB200 with SGLang: upstream arm64 CUDA 13.4 +# nightly, which carries the MiniMax-M3.1-Flash support of sgl-project/sglang#45925. # Seven-token DSpark (bundled draft); synthetic acceptance follows # infx/golden_al_distribution/minimaxm31flash_dspark.yaml. minimaxm31flash-fp4-gb200-sglang-agentic-dspark: - image: lmsysorg/sglang:dev-minimax-m31-flash@sha256:614b1509bcb729c653528d448bff9850f8977fcad9d12ba56bd6dbe3d7985e87 + image: lmsysorg/sglang:nightly-cu134-20261026-5ef9901@sha256:64460b432679d4555b6579832454d8b9a21cc8591b2d16b340b94abb59de28e6 model: MiniMaxAI/MiniMax-M3.1-Flash model-prefix: minimaxm31flash runner: cluster:gb200-nv diff --git a/inferencex-e2e/perf-changelog.yaml b/inferencex-e2e/perf-changelog.yaml index 9b2c109fc5..a434b70d4e 100644 --- a/inferencex-e2e/perf-changelog.yaml +++ b/inferencex-e2e/perf-changelog.yaml @@ -11439,3 +11439,10 @@ - "Configure per-point batch limits, CUDA graphs, scheduler intervals, and host-cache sizes." - "Pin the DFlash2 draft snapshot, require KV-cache metrics, and account for per-rank host-cache pools." pr-link: https://github.com/SemiAnalysisAI/InferenceX/pull/4446 + +- config-keys: + - minimaxm31flash-fp4-gb200-sglang-agentic-dspark + description: + - "Update the SGLang image from dev-minimax-m31-flash to nightly-cu134-20261026-5ef9901, pinned by digest." + pr-link: https://github.com/SemiAnalysisAI/InferenceX/pull/4559 + scenario-type: [agentic-coding]