[AMD][MI355X] DSv4.1-Flash vLLM: enable sparse-MLA Gluon kernel / DSv4.1-Flash vLLM：启用 sparse-MLA Gluon kernel

inferencex-e2e/benchmarks/single_node/srt-slurm-recipes/dsv41flash/vllm/mi355x-fp4-mtp/agentic.yaml

@@ -6,7 +6,9 @@ base:
   name: dsv41flash-fp4-mi355x-vllm-agentic
   model:
     path: hf:deepseek-ai/DeepSeek-V4.1-Flash
-    container: vllm/vllm-openai-rocm:nightly-rocm100-7f1a5398e9610d96c473931a26c0e12bbe0d0423
+    # Repinned to a nightly build that includes vllm-project/vllm#58655
+    # (mHC fused Triton seams) and #53492 (sparse MLA Gluon kernel).
+    container: vllm/vllm-openai-rocm:nightly-rocm100-36768d1bfd39094681cdbc8cb37d4b31c0729c89
     precision: fp4
   resources:
     gpu_type: mi355x
@@ -54,6 +56,7 @@ base:
         VLLM_ROCM_USE_AITER: '1'
         VLLM_ROCM_USE_AITER_MOE: '1'
         AITER_TRITON_LOG_LEVEL: ERROR
+        VLLM_ROCM_USE_AITER_TRITON_SPARSE_MLA: 'True'
         # DeepseekV41ForCausalLM is not torch-compiled upstream; breakable
         # graphs keep FULL_AND_PIECEWISE capture working.
         VLLM_USE_BREAKABLE_CUDAGRAPH: '1'

inferencex-e2e/configs/amd-master.yaml

@@ -1391,8 +1391,9 @@ dsv4-fp4-mi355x-sglang-agentic-mtp:
 # Two GPUs per server doubles the servers per node and is the layout that
 # decides whether DSv4.1-Flash is throughput- or interactivity-bound here.
 dsv41flash-fp4-mi355x-vllm-agentic-dspark:
-  # ROCm 10.0 nightly channel, shared with kimik3-fp4-mi355x-vllm-agentic-mtp.
-  image: vllm/vllm-openai-rocm:nightly-rocm100-29468dde8b515031dc6d4d9d06bf0a2fa0442098
+  # Repinned to a nightly build that includes vllm-project/vllm#58655 and
+  # #53492 (see agentic.yaml).
+  image: vllm/vllm-openai-rocm:nightly-rocm100-36768d1bfd39094681cdbc8cb37d4b31c0729c89
   model: deepseek-ai/DeepSeek-V4.1-Flash
   model-prefix: dsv41flash
   runner: cluster:mi355x-amds

inferencex-e2e/perf-changelog.yaml

@@ -9120,3 +9120,10 @@
     - "Restore the DCP8 LMCache bands on the native srt-slurm recipe: concurrency 14 and 16 (DSpark 3, ReplaySSM) and 48, 56 and 72 (no draft) run ATOM's in-process lmcache_offload connector through roles.agg.args.extra-kv-connectors (srt-slurm patch 507), with 128 GB/rank up to 48 and 192 GB/rank at 56 and 72. Concurrency 1 and 4 stay GPU-resident."
     - "No change to the Inferact/Kimi-K3-DSpark draft's precision: online_quant_config still excludes every draft linear (layers.*, context_proj), so its weights and activations stay BF16, and it keeps the target's FP8 KV cache (kv_cache_dtype fp8). FlyDSL FP8 prefill attention applies only to the target, since the draft runs its block pass as decode attention."
   pr-link: https://github.com/SemiAnalysisAI/InferenceX/pull/3407
+
+- config-keys:
+    - dsv41flash-fp4-mi355x-vllm-agentic-dspark
+  description:
+    - "Force VLLM_ROCM_USE_AITER_TRITON_SPARSE_MLA=True to enable vllm-project/vllm#53492's gfx950 Gluon sparse-MLA kernel. Repin the recipe and master config to vllm/vllm-openai-rocm:nightly-rocm100-36768d1bfd39094681cdbc8cb37d4b31c0729c89, which includes #53492 and vllm-project/vllm#58655 (fused mHC Triton kernel). vllm-project/vllm#58208 (DSA candidate topk) was reverted by vllm-project/vllm#59125 before this build, and vllm-project/vllm#58671's MXFP4 sparse indexer landed after it; the indexer is left to #3571."
+    - "设置 VLLM_ROCM_USE_AITER_TRITON_SPARSE_MLA=True，启用 vllm-project/vllm#53492 的 gfx950 Gluon sparse-MLA kernel。将配方与主配置固定到 vllm/vllm-openai-rocm:nightly-rocm100-36768d1bfd39094681cdbc8cb37d4b31c0729c89，该镜像包含 #53492 与 vllm-project/vllm#58655（融合 mHC Triton kernel）。vllm-project/vllm#58208（DSA 候选块 topk）在该构建之前已被 vllm-project/vllm#59125 回滚；vllm-project/vllm#58671 的 MXFP4 稀疏 indexer 在该构建之后才合入，留待 #3571。"
+  pr-link: https://github.com/SemiAnalysisAI/InferenceX/pull/3555