diff --git a/vllm/config/compilation.py b/vllm/config/compilation.py
index fb7a1466b..f1909ace6 100644
--- a/vllm/config/compilation.py
+++ b/vllm/config/compilation.py
@@ -115,7 +115,7 @@ class PassConfig:
     """Fuse the custom SiluMul + quant ops."""
     fuse_attn_quant: bool = Field(default=None)
     """Fuse the custom attention + quant ops."""
-    eliminate_noops: bool = Field(default=None)
+    eliminate_noops: bool = Field(default=True)
     """Eliminate no-op ops."""
     enable_sp: bool = Field(default=None)
     """Enable sequence parallelism."""
@@ -194,7 +194,6 @@ class PassConfig:
         "fuse_norm_quant",
         "fuse_act_quant",
         "fuse_attn_quant",
-        "eliminate_noops",
         "enable_sp",
         "fuse_gemm_comms",
         "fuse_allreduce_rms",
diff --git a/vllm/config/vllm.py b/vllm/config/vllm.py
index c1ef8e6aa..eccaa6ce6 100644
--- a/vllm/config/vllm.py
+++ b/vllm/config/vllm.py
@@ -102,6 +102,19 @@ def enable_act_fusion(cfg: "VllmConfig") -> bool:
     ) or cfg.compilation_config.is_custom_op_enabled("quant_fp8")
 
 
+def enable_allreduce_rms_fusion(cfg: "VllmConfig") -> bool:
+    """Enable if TP > 1 and Hopper+ and flashinfer installed."""
+    from vllm.platforms import current_platform
+    from vllm.utils.flashinfer import has_flashinfer
+
+    return (
+        cfg.parallel_config.tensor_parallel_size > 1
+        and current_platform.is_cuda()
+        and current_platform.has_device_capability(90)
+        and has_flashinfer()
+    )
+
+
 def enable_norm_pad_fusion(cfg: "VllmConfig") -> bool:
     """Enable if using AITER RMSNorm and AITER Triton GEMMs
     and hidden size is 2880 i.e. gpt-oss; otherwise Inductor handles fusion."""
@@ -118,7 +131,6 @@ def enable_norm_pad_fusion(cfg: "VllmConfig") -> bool:
 OPTIMIZATION_LEVEL_00 = {
     "compilation_config": {
         "pass_config": {
-            "eliminate_noops": False,
             "fuse_norm_quant": False,
             "fuse_act_quant": False,
             "fuse_allreduce_rms": False,
@@ -137,7 +149,6 @@ OPTIMIZATION_LEVEL_00 = {
 OPTIMIZATION_LEVEL_01 = {
     "compilation_config": {
         "pass_config": {
-            "eliminate_noops": True,
             "fuse_norm_quant": enable_norm_fusion,
             "fuse_act_quant": enable_act_fusion,
             "fuse_allreduce_rms": False,
@@ -156,10 +167,9 @@ OPTIMIZATION_LEVEL_01 = {
 OPTIMIZATION_LEVEL_02 = {
     "compilation_config": {
         "pass_config": {
-            "eliminate_noops": True,
             "fuse_norm_quant": enable_norm_fusion,
             "fuse_act_quant": enable_act_fusion,
-            "fuse_allreduce_rms": False,
+            "fuse_allreduce_rms": enable_allreduce_rms_fusion,
             "fuse_attn_quant": IS_QUANTIZED,
             "enable_sp": IS_DENSE,
             "fuse_gemm_comms": IS_DENSE,
@@ -175,10 +185,9 @@ OPTIMIZATION_LEVEL_02 = {
 OPTIMIZATION_LEVEL_03 = {
     "compilation_config": {
         "pass_config": {
-            "eliminate_noops": True,
             "fuse_norm_quant": enable_norm_fusion,
             "fuse_act_quant": enable_act_fusion,
-            "fuse_allreduce_rms": False,
+            "fuse_allreduce_rms": enable_allreduce_rms_fusion,
             "fuse_attn_quant": IS_QUANTIZED,
             "enable_sp": IS_DENSE,
             "fuse_gemm_comms": IS_DENSE,