diff --git a/configs/nvidia-master.yaml b/configs/nvidia-master.yaml
index 238aaf320f..731bb63b79 100644
--- a/configs/nvidia-master.yaml
+++ b/configs/nvidia-master.yaml
@@ -7787,7 +7787,7 @@ dsv4-fp4-gb300-dynamo-vllm-agentic-mtp-agg:
           ep: 1
           dp-attn: false
       - spec-decoding: mtp
-        conc-list: [8]
+        conc-list: [1, 2, 4, 6, 8]
         prefill:
           num-worker: 1
           tp: 4
diff --git a/perf-changelog.yaml b/perf-changelog.yaml
index 52c74bf168..b0a67a950f 100644
--- a/perf-changelog.yaml
+++ b/perf-changelog.yaml
@@ -6195,3 +6195,12 @@
     - "Use AITER INT4 quick-reduce, ptpc_fp8 online quantization excluding embeddings, lm_head, gates, and experts, an FP8 KV cache, and three-token MTP with golden synthetic acceptance length 2.99 for benchmark runs."
     - "Set max-num-seqs to twice the concurrency, select CUDA graph capture sizes by concurrency, and cap max-num-batched-tokens at 16384."
   pr-link: https://github.com/SemiAnalysisAI/InferenceX/pull/2576
+
+- config-keys:
+    - dsv4-fp4-gb300-dynamo-vllm-agentic-mtp-agg
+  scenario-type:
+    - agentic-coding
+  description:
+    - "Expand the GB300 AgentX aggregate TP4 sweep to concurrency 1, 2, 4, 6, and 8."
+  pr-link: https://github.com/SemiAnalysisAI/InferenceX/pull/2676
+  append-only: true