@@ -7,9 +7,9 @@ base:
   model:
     path: hf:deepseek-ai/DeepSeek-V4.1-Flash
     # TODO: repin once vllm-project/vllm#58655 (mHC fused Triton seams),
-    # #53492 (sparse MLA Gluon kernel) and #58208 (DSA candidate
-    # block-selection topk) are merged upstream and released in a nightly
-    # image.
+    # #58671 (paged MXFP4 sparse indexer), #53492 (sparse MLA Gluon kernel)
+    # and #58208 (DSA candidate block-selection topk) are merged upstream and
+    # released in a nightly image.
     container: vllm/vllm-openai-rocm:nightly-rocm100-TBD
     precision: fp4
   resources:
@@ -44,6 +44,16 @@ base:
         # aiter_triton_mxfp4_bf16 would force the W4A16 Triton kernel.
         moe-backend: aiter
         gpu-memory-utilization: 0.9
+        # Enables vllm-project/vllm#58671's ROCm paged MXFP4 sparse-logits
+        # indexer kernel instead of the dense fp8 indexer path.
+        attention-config: '{"indexer_kv_dtype":"mxfp4","indexer_sparse_logits":true}'
+        # With 4+ attention backends active (SparseMLA, SparseSWA, the MXFP4
+        # indexer, Compressor), vLLM's block-size auto-resolution picks the
+        # smallest size every backend merely supports (64), not the 128 the
+        # indexer and SparseMLA backends actually prefer for this fp4 indexer
+        # path. Force 128 explicitly; see vllm-project/vllm's
+        # Platform._preferred_block_size_for_backends.
+        block-size: 128
         # Five-token DSpark with probabilistic drafting. Throughput runs replace
         # block rejection with the golden acceptance length. Adaptive
         # verification trims requests on device, which the ROCm DeepSeek-V4
 
@@ -1386,8 +1386,8 @@ 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:
-  # TODO: repin once vllm-project/vllm#58655, #53492 and #58208 are merged
-  # upstream and released in a nightly image (see agentic.yaml).
+  # TODO: repin once vllm-project/vllm#58655, #58671, #53492 and #58208 are
+  # merged upstream and released in a nightly image (see agentic.yaml).
   image: vllm/vllm-openai-rocm:nightly-rocm100-TBD
   model: deepseek-ai/DeepSeek-V4.1-Flash
   model-prefix: dsv41flash
 
@@ -9010,3 +9010,10 @@
     - "Force VLLM_ROCM_USE_AITER_TRITON_SPARSE_MLA=True for vllm-project/vllm#53492's Gluon sparse-MLA kernel. Unpin image to TBD pending #58208 (faster DSA candidate topk selection), #58655 (fused mHC Triton kernel) and #53492 (sparse MLA Gluon kernel) landing in a nightly release: better topk/mHC/MLA kernels with better compute/communication stream overlap. Does not include vllm-project/vllm#58671's MXFP4 sparse-logits indexer: it isn't merging in time, and reverting a dependency it exposed (#58208's DSA candidate-block topk, vllm-project/vllm#59125) showed the fp8 dense indexer path #58671 would otherwise replace costs roughly 15% interactivity and 10% tail e2e latency at TP2 c16, with no measurable throughput/GPU change."
     - "设置 VLLM_ROCM_USE_AITER_TRITON_SPARSE_MLA=True 以启用 vllm-project/vllm#53492 的 Gluon sparse-MLA kernel。将镜像取消固定为 TBD，待 #58208（更快的 DSA 候选块 topk 选择）、#58655（融合 mHC Triton kernel）与 #53492（sparse MLA Gluon kernel）合并至上游并随 nightly 镜像发布：更优的 topk/mHC/MLA kernel，以及更好的计算/通信流重叠模式。不包含 vllm-project/vllm#58671 的 MXFP4 稀疏 logits indexer：该 PR 未能及时合并；回滚它所暴露的一个依赖问题（#58208 的 DSA 候选块 topk，vllm-project/vllm#59125）后测得，#58671 本应替换的 fp8 稠密 indexer 路径在 TP2 c16 下约有 15% 的 interactivity 与 10% 的尾部 e2e 延迟损失，而 throughput/GPU 无明显变化。"
   pr-link: https://github.com/SemiAnalysisAI/InferenceX/pull/3555
+
+- config-keys:
+    - dsv41flash-fp4-mi355x-vllm-agentic-dspark
+  description:
+    - "Stacked on #3555. Re-add --attention-config '{\"indexer_kv_dtype\":\"mxfp4\",\"indexer_sparse_logits\":true}' and --block-size 128 to enable vllm-project/vllm#58671's ROCm paged MXFP4 sparse-logits indexer once it merges upstream, replacing the dense fp8 indexer path. A live A/B test (TP2 c16, matched 900s window, #58208 reverted via #59125 so the dense fallback doesn't crash) measured #58671 giving +14.7/+14.9% p50/p90 interactivity and -9.5/-10.8% p50/p90 e2e latency over the dense path, with throughput/GPU unchanged. Draft until #58671 merges and lands in a nightly image; kept separate from #3555 so that PR can run now and this one can re-sweep immediately once #58671 is available."
+    - "基于 #3555 之上。重新添加 --attention-config '{\"indexer_kv_dtype\":\"mxfp4\",\"indexer_sparse_logits\":true}' 与 --block-size 128，以便在 vllm-project/vllm#58671 合并上游后启用其 ROCm 分页 MXFP4 稀疏 logits indexer，取代稠密 fp8 indexer 路径。一次真实的 A/B 测试（TP2、并发 16，匹配 900 秒窗口，并通过 #59125 回滚 #58208 以避免稠密回退路径崩溃）测得 #58671 相较稠密路径带来 interactivity p50/p90 提升 14.7%/14.9%，e2e 延迟 p50/p90 降低 9.5%/10.8%，而 throughput/GPU 无变化。本 PR 保持 draft 状态，直到 #58671 合并并随 nightly 镜像发布；与 #3555 分开提交，以便该 PR 可先行运行，本 PR 待 #58671 可用后立即重新扫描。"
+  pr-link: https://github.com/SemiAnalysisAI/InferenceX/pull/3571