@@ -82,11 +82,11 @@ base:
       WEKA_LOADER_OVERRIDE: semianalysis_cc_traces_weka_062126
       AIPERF_REQUIRED_SERVER_METRIC_PREFIX: 'vllm:'
 
-# One variant per point. Engram tables move to pinned host memory at TP2 and
-# at c128, where resident tables leave too little KV. Graph capture covers
-# 2x CONC (at least 128 sequences) x (1 + 5 drafts), up to 2048 tokens. The
-# prefill chunk shrinks at TP2 from c64 and at c128 to buy KV room, and where
-# it drops below 1024 x 6 slots the scheduler is capped at the captured shape.
+# One variant per point (c128 excluded for both TP2 and TP4). Engram tables
+# move to pinned host memory at TP2, where resident tables leave too little
+# KV. Graph capture covers 2x CONC x (1 + 5 drafts). The prefill chunk shrinks
+# at TP2 from c64 to buy KV room, and where it drops below 1024 x 6 slots the
+# scheduler is capped at the captured shape.
 override_tp4_c1:
   roles:
     agg:
@@ -178,19 +178,6 @@ override_tp4_c64:
     env:
       CONC: '64'
 
-override_tp4_c128:
-  roles:
-    agg:
-      gpus: 4
-      args:
-        tensor-parallel-size: 4
-        engram-config: '{"cpu_offload":true}'
-        max-cudagraph-capture-size: 2048
-        max-num-batched-tokens: 8192
-  benchmark:
-    env:
-      CONC: '128'
-
 override_tp2_c1:
   roles:
     agg:
@@ -281,17 +268,3 @@ override_tp2_c64:
   benchmark:
     env:
       CONC: '64'
-
-override_tp2_c128:
-  roles:
-    agg:
-      gpus: 2
-      args:
-        tensor-parallel-size: 2
-        engram-config: '{"cpu_offload":true}'
-        max-cudagraph-capture-size: 2048
-        max-num-batched-tokens: 4096
-        max-num-seqs: 256
-  benchmark:
-    env:
-      CONC: '128'
@@ -1406,12 +1406,12 @@ dsv41flash-fp4-mi355x-vllm-agentic-dspark:
     - dram-utilization: 0.60
       search-space:
       # The recipe only changes the memory split where a point ran short of KV:
-      # TP=4 offloads the engram tables at c128, and the prefill chunk shrinks at
-      # TP=2 c64, TP=4 c128 and TP=2 c128. Every point is measured here rather
-      # than combined from the earlier run: the image move leaves concurrency
-      # 1-32 measured only on the superseded nightly-eed1f3d0 pin.
-      - { tp: 4, kv-offloading: none, spec-decoding: mtp, conc-list: [1, 2, 4, 8, 16, 32, 64, 128], srt-recipe: benchmarks/single_node/srt-slurm-recipes/dsv41flash/vllm/mi355x-fp4-mtp/agentic.yaml }
-      - { tp: 2, kv-offloading: none, spec-decoding: mtp, conc-list: [1, 2, 4, 8, 16, 32, 64, 128], srt-recipe: benchmarks/single_node/srt-slurm-recipes/dsv41flash/vllm/mi355x-fp4-mtp/agentic.yaml }
+      # the prefill chunk shrinks at TP=2 c64. c128 is excluded for both TP=2
+      # and TP=4. Every point is measured here rather than combined from the
+      # earlier run: the image move leaves concurrency 1-32 measured only on
+      # the superseded nightly-eed1f3d0 pin.
+      - { tp: 4, kv-offloading: none, spec-decoding: mtp, conc-list: [1, 2, 4, 8, 16, 32, 64], srt-recipe: benchmarks/single_node/srt-slurm-recipes/dsv41flash/vllm/mi355x-fp4-mtp/agentic.yaml }
+      - { tp: 2, kv-offloading: none, spec-decoding: mtp, conc-list: [1, 2, 4, 8, 16, 32, 64], srt-recipe: benchmarks/single_node/srt-slurm-recipes/dsv41flash/vllm/mi355x-fp4-mtp/agentic.yaml }
 
 # Speculative decoding on an agentic scenario must run with simulated
 # synthetic acceptance at the committed golden AL for this model, thinking mode
 
@@ -9131,6 +9131,6 @@
 - 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。"
+    - "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. Drops c128 from both TP2 and TP4 conc-lists for this recipe."
+    - "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。此配方的 TP2 与 TP4 conc-list 均移除 c128。"
   pr-link: https://github.com/SemiAnalysisAI/InferenceX/pull/3571