diff --git a/3rdparty/Megatron-LM b/3rdparty/Megatron-LM
index 3d1a4ba71e..23dd639cf3 160000
--- a/3rdparty/Megatron-LM
+++ b/3rdparty/Megatron-LM
@@ -1 +1 @@
-Subproject commit 3d1a4ba71ecc49f1a0c9480c90f819d2b00f9915
+Subproject commit 23dd639cf3de30f3b9d8d0fae71ee31180be9ddd
diff --git a/src/megatron/bridge/models/deepseek/deepseek_v2_bridge.py b/src/megatron/bridge/models/deepseek/deepseek_v2_bridge.py
index 1b75b97544..6309518e2d 100644
--- a/src/megatron/bridge/models/deepseek/deepseek_v2_bridge.py
+++ b/src/megatron/bridge/models/deepseek/deepseek_v2_bridge.py
@@ -69,7 +69,6 @@ def provider_bridge(self, hf_pretrained: PreTrainedCausalLM) -> MLAModelProvider
         provider.cross_entropy_loss_fusion = True
         provider.masked_softmax_fusion = True
         provider.persist_layer_norm = True
-        provider.async_tensor_model_parallel_allreduce = True
         provider.gradient_accumulation_fusion = True
 
         provider.hidden_dropout = 0.0
diff --git a/src/megatron/bridge/models/deepseek/deepseek_v3_bridge.py b/src/megatron/bridge/models/deepseek/deepseek_v3_bridge.py
index f10c6c7fc7..60481a257e 100644
--- a/src/megatron/bridge/models/deepseek/deepseek_v3_bridge.py
+++ b/src/megatron/bridge/models/deepseek/deepseek_v3_bridge.py
@@ -74,7 +74,6 @@ def provider_bridge(self, hf_pretrained: PreTrainedCausalLM) -> MLAModelProvider
         provider.cross_entropy_loss_fusion = True
         provider.masked_softmax_fusion = True
         provider.persist_layer_norm = True
-        provider.async_tensor_model_parallel_allreduce = True
         provider.gradient_accumulation_fusion = True
 
         provider.hidden_dropout = 0.0
diff --git a/src/megatron/bridge/models/kimi/kimi_provider.py b/src/megatron/bridge/models/kimi/kimi_provider.py
index 712878d467..8d23ea060e 100644
--- a/src/megatron/bridge/models/kimi/kimi_provider.py
+++ b/src/megatron/bridge/models/kimi/kimi_provider.py
@@ -109,7 +109,6 @@ class KimiK2Provider(MLATransformerConfig, GPTModelProvider):
     layernorm_epsilon: float = 1e-6
     bf16: bool = True
     params_dtype: torch.dtype = torch.bfloat16
-    async_tensor_model_parallel_allreduce: bool = True
     attention_softmax_in_fp32: bool = False
     persist_layer_norm: bool = True
     num_layers_in_first_pipeline_stage: Optional[int] = None
diff --git a/src/megatron/bridge/models/model_provider.py b/src/megatron/bridge/models/model_provider.py
index f8a5e6867a..ed882e54c2 100644
--- a/src/megatron/bridge/models/model_provider.py
+++ b/src/megatron/bridge/models/model_provider.py
@@ -466,7 +466,6 @@ class ModelParallelKwargs(TypedDict, total=False):
     context_parallel_size: int
     expert_model_parallel_size: int
     expert_tensor_parallel_size: int
-    moe_extended_tp: bool
     sequence_parallel: bool
     virtual_pipeline_model_parallel_size: int | None
     hierarchical_context_parallel_sizes: list[int] | None
diff --git a/src/megatron/bridge/models/qwen_vl/qwen3_vl_provider.py b/src/megatron/bridge/models/qwen_vl/qwen3_vl_provider.py
index c7371f8670..a8e7ed90ee 100644
--- a/src/megatron/bridge/models/qwen_vl/qwen3_vl_provider.py
+++ b/src/megatron/bridge/models/qwen_vl/qwen3_vl_provider.py
@@ -244,7 +244,6 @@ class Qwen3VLMoEModelProvider(GPTModelProvider):
     bias_dropout_fusion: bool = True
     masked_softmax_fusion: bool = False  # Don't fuse masked softmax (Qwen specific)
     deallocate_pipeline_outputs: bool = True
-    async_tensor_model_parallel_allreduce: bool = True
     distribute_saved_activations: bool = False
     cp_comm_type: str = "p2p"
 
diff --git a/src/megatron/bridge/recipes/nemotronh/nemotron_3_nano.py b/src/megatron/bridge/recipes/nemotronh/nemotron_3_nano.py
index 999fd40954..c29d274494 100644
--- a/src/megatron/bridge/recipes/nemotronh/nemotron_3_nano.py
+++ b/src/megatron/bridge/recipes/nemotronh/nemotron_3_nano.py
@@ -160,7 +160,6 @@ def nemotron_3_nano_pretrain_config() -> ConfigContainer:
 
     cfg.model.init_method_std = 0.0173
     cfg.model.apply_rope_fusion = False
-    cfg.model.async_tensor_model_parallel_allreduce = True
     cfg.model.gradient_accumulation_fusion = True
     cfg.model.use_fused_weighted_squared_relu = True
 
@@ -331,7 +330,6 @@ def _nemotron_3_nano_finetune_common(
         expert_tensor_parallel_size=expert_tensor_parallelism,
         expert_model_parallel_size=expert_model_parallelism,
         apply_rope_fusion=False,
-        async_tensor_model_parallel_allreduce=True,
         attention_backend="fused",
         gradient_accumulation_fusion=True,
         init_method_std=0.0173,
diff --git a/src/megatron/bridge/training/model_load_save.py b/src/megatron/bridge/training/model_load_save.py
index 74c2e9c6cd..3567cc62a8 100644
--- a/src/megatron/bridge/training/model_load_save.py
+++ b/src/megatron/bridge/training/model_load_save.py
@@ -382,7 +382,6 @@ def load_megatron_model(
     model_cfg.context_parallel_size = 1
     model_cfg.expert_model_parallel_size = 1
     model_cfg.expert_tensor_parallel_size = 1
-    model_cfg.moe_extended_tp = False
     model_cfg.sequence_parallel = False
     model_cfg.perform_initialization = False
     model_cfg.virtual_pipeline_model_parallel_size = None
diff --git a/tests/unit_tests/peft/test_utils.py b/tests/unit_tests/peft/test_utils.py
index 4d9ff72679..d1c063e014 100644
--- a/tests/unit_tests/peft/test_utils.py
+++ b/tests/unit_tests/peft/test_utils.py
@@ -62,7 +62,6 @@ def __init__(self):
         self.perform_initialization = True
         self.use_cpu_initialization = False
         self.gradient_accumulation_fusion = False
-        self.async_tensor_model_parallel_allreduce = False
 
 
 class MockColumnParallelLinear(ColumnParallelLinear):
diff --git a/tests/unit_tests/training/test_model_load_save.py b/tests/unit_tests/training/test_model_load_save.py
index f8a4ed8964..a779e83281 100644
--- a/tests/unit_tests/training/test_model_load_save.py
+++ b/tests/unit_tests/training/test_model_load_save.py
@@ -525,7 +525,6 @@ def test_load_megatron_model_resets_defaults(self, mock_load_model_config, mock_
         cfg.context_parallel_size = 2
         cfg.expert_model_parallel_size = 2
         cfg.expert_tensor_parallel_size = 2
-        cfg.moe_extended_tp = True
         cfg.sequence_parallel = True
         cfg.virtual_pipeline_model_parallel_size = 2
         cfg.hierarchical_context_parallel_sizes = [2, 2]
@@ -545,7 +544,6 @@ def test_load_megatron_model_resets_defaults(self, mock_load_model_config, mock_
         assert cfg.context_parallel_size == 1
         assert cfg.expert_model_parallel_size == 1
         assert cfg.expert_tensor_parallel_size == 1
-        assert cfg.moe_extended_tp is False
         assert cfg.sequence_parallel is False
         assert cfg.virtual_pipeline_model_parallel_size is None
         assert cfg.hierarchical_context_parallel_sizes is None
@@ -561,7 +559,6 @@ def test_load_megatron_model_applies_overrides(self, mock_load_model_config, moc
         cfg.context_parallel_size = 1
         cfg.expert_model_parallel_size = 1
         cfg.expert_tensor_parallel_size = 1
-        cfg.moe_extended_tp = False
         cfg.sequence_parallel = False
         cfg.virtual_pipeline_model_parallel_size = None
         cfg.hierarchical_context_parallel_sizes = None
diff --git a/uv.lock b/uv.lock
index a713849dd6..d04aa4c2b4 100644
--- a/uv.lock
+++ b/uv.lock
@@ -1373,10 +1373,10 @@ wheels = [
 
 [[package]]
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-version = "1.3.4"
+version = "1.3.5"
 source = { registry = "https://pypi.org/simple" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/b8/5e/db279a3bfbd18d59d0598922a3b3c1454908d0969e8372260afec9736376/cuda_pathfinder-1.3.4-py3-none-any.whl", hash = "sha256:fb983f6e0d43af27ef486e14d5989b5f904ef45cedf40538bfdcbffa6bb01fb2", size = 30878, upload-time = "2026-02-11T18:50:31.008Z" },
+    { url = "https://files.pythonhosted.org/packages/ca/b5/e4056e4058fb56519fcddf1face6fe3ff2398953b41615fafe9fb1540bf2/cuda_pathfinder-1.3.5-py3-none-any.whl", hash = "sha256:6c88220f8637cb35d2a75c620d72efebf683b248b923713d8fbe235844c1a4b9", size = 33711, upload-time = "2026-02-23T18:34:27.253Z" },
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 [[package]]
@@ -1439,16 +1439,16 @@ wheels = [
 
 [[package]]
 name = "databricks-sdk"
-version = "0.91.0"
+version = "0.92.0"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "google-auth" },
     { name = "protobuf" },
     { name = "requests" },
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+sdist = { url = "https://files.pythonhosted.org/packages/df/40/0ae3bace60e9409f8ac060e8f9b783d823be9e3e5d5b713a75d58bf2cc5b/databricks_sdk-0.92.0.tar.gz", hash = "sha256:50cbd3fa3757b98779ca28c4c885c671486bf2be8a493cc1e5c44d27c80eba41", size = 860422, upload-time = "2026-02-24T08:23:04.359Z" }
 wheels = [
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+    { url = "https://files.pythonhosted.org/packages/b7/14/0e343205fbaffc3e2dedc6bb51bd106e063e88915262c099c884376c98f5/databricks_sdk-0.92.0-py3-none-any.whl", hash = "sha256:6d45bd9e6ee21a639c31239e095ad55215cb2f8c51092950c083693f709c013b", size = 810587, upload-time = "2026-02-24T08:23:02.282Z" },
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 [[package]]
@@ -1646,7 +1646,7 @@ wheels = [
 
 [[package]]
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-version = "0.131.0"
+version = "0.132.0"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
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@@ -1655,9 +1655,9 @@ dependencies = [
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+sdist = { url = "https://files.pythonhosted.org/packages/a0/55/f1b4d4e478a0a1b4b1113d0f610a1b08e539b69900f97fdc97155d62fdee/fastapi-0.132.0.tar.gz", hash = "sha256:ef687847936d8a57ea6ea04cf9a85fe5f2c6ba64e22bfa721467094b69d48d92", size = 372422, upload-time = "2026-02-23T17:56:22.218Z" }
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