diff --git a/.github/workflows/e2e_ppo_trainer_megatron_vllm.yml b/.github/workflows/e2e_ppo_trainer_megatron_vllm.yml
index 35a50aae0ea..5dfaa4776b1 100644
--- a/.github/workflows/e2e_ppo_trainer_megatron_vllm.yml
+++ b/.github/workflows/e2e_ppo_trainer_megatron_vllm.yml
@@ -143,8 +143,8 @@ jobs:
       - name: clean up and install Megatron-Bridge
         run: |
           rm -rf checkpoints
-          pip3 install git+https://github.com/NVIDIA-NeMo/Megatron-Bridge.git@af21db0 --no-deps --no-build-isolation
-          pip3 install git+https://github.com/NVIDIA/Megatron-LM.git@3cbe5c6 --no-deps --no-build-isolation
+          pip3 install git+https://github.com/NVIDIA-NeMo/Megatron-Bridge.git@a489bed --no-deps --no-build-isolation
+          pip3 install git+https://github.com/NVIDIA/Megatron-LM.git@2d398b4 --no-deps --no-build-isolation
           pip3 install "nvidia-modelopt[torch]>=0.37.0" transformers==4.57.1
       - name: Running GSM8K E2E training tests with 3D parallelism on 8 L20 GPUs with Megatron, use Megatron-Bridge LoRA e2e to pre-load and save (Deepseek)
         run: |
diff --git a/.github/workflows/e2e_ppo_trainer_megatron_vllm_2.yml b/.github/workflows/e2e_ppo_trainer_megatron_vllm_2.yml
index fb3e73ed02d..2d5e0821d48 100644
--- a/.github/workflows/e2e_ppo_trainer_megatron_vllm_2.yml
+++ b/.github/workflows/e2e_ppo_trainer_megatron_vllm_2.yml
@@ -122,8 +122,8 @@ jobs:
       - name: Install the current repository
         run: |
           pip3 install --no-deps -e .[test]
-          pip3 install git+https://github.com/NVIDIA-NeMo/Megatron-Bridge.git@af21db0 --no-deps --no-build-isolation
-          pip3 install git+https://github.com/NVIDIA/Megatron-LM.git@3cbe5c6 --no-deps --no-build-isolation
+          pip3 install git+https://github.com/NVIDIA-NeMo/Megatron-Bridge.git@a489bed --no-deps --no-build-isolation
+          pip3 install git+https://github.com/NVIDIA/Megatron-LM.git@2d398b4 --no-deps --no-build-isolation
           pip3 install "nvidia-modelopt[torch]>=0.37.0" transformers==4.57.1
       - name: Prepare GSM8K dataset
         run: |
diff --git a/examples/grpo_trainer/run_qwen2-7b_math_megatron_lora.sh b/examples/grpo_trainer/run_qwen2-7b_math_megatron_lora.sh
index 5344cfd9aa6..890b719b349 100644
--- a/examples/grpo_trainer/run_qwen2-7b_math_megatron_lora.sh
+++ b/examples/grpo_trainer/run_qwen2-7b_math_megatron_lora.sh
@@ -1,6 +1,11 @@
 #!/usr/bin/env bash
 set -xeuo pipefail
 
+# Need to install Megatron-Bridge
+# NOTE: Make sure you use Megatron-Bridge later than 0.2.0 
+# (Recommend https://github.com/NVIDIA-NeMo/Megatron-Bridge/commit/a489bed3a2410ed9b000ec13a3c90176fec7d99c or later)
+# for proper MoE LoRA support.
+
 # For Megatron communication/computation overlapping
 export CUDA_DEVICE_MAX_CONNECTIONS=1
 
@@ -41,8 +46,16 @@ DATA=(
 
 MODEL=(
     actor_rollout_ref.model.path=Qwen/Qwen2-7B-Instruct
-    actor_rollout_ref.model.lora.rank=16
-    actor_rollout_ref.model.lora.alpha=32
+    actor_rollout_ref.model.lora.rank=256
+    actor_rollout_ref.model.lora.alpha=512
+    actor_rollout_ref.model.lora.lora_A_init_method=kaiming
+    # # Optional: Use canonical LoRA
+    # actor_rollout_ref.model.lora.type="canonical_lora"
+    # actor_rollout_ref.model.lora.target_modules='["linear_q","linear_k","linear_v","linear_proj","linear_fc1_up","linear_fc1_gate","linear_fc2"]'
+
+    # # Optional: Add dropout to LoRA layers
+    # actor_rollout_ref.model.lora.dropout=0.05
+    # actor_rollout_ref.model.lora.dropout_position=pre
 )
 
 ACTOR=(
@@ -58,6 +71,9 @@ ACTOR=(
     actor_rollout_ref.actor.kl_loss_coef=0.001
     actor_rollout_ref.actor.kl_loss_type=low_var_kl
     actor_rollout_ref.actor.entropy_coeff=0
+    +actor_rollout_ref.actor.megatron.override_transformer_config.recompute_method=uniform
+    +actor_rollout_ref.actor.megatron.override_transformer_config.recompute_granularity=full
+    +actor_rollout_ref.actor.megatron.override_transformer_config.recompute_num_layers=1
 )
 
 ROLLOUT=(
diff --git a/examples/grpo_trainer/run_qwen3moe-30b_megatron_lora.sh b/examples/grpo_trainer/run_qwen3moe-30b_megatron_lora.sh
index 77805cdfb3b..3a92171b6e2 100644
--- a/examples/grpo_trainer/run_qwen3moe-30b_megatron_lora.sh
+++ b/examples/grpo_trainer/run_qwen3moe-30b_megatron_lora.sh
@@ -3,9 +3,11 @@ set -xeuo pipefail
 
 # Need to install Megatron-Bridge
 # NOTE: Make sure you use Megatron-Bridge later than 0.2.0 
-# (after https://github.com/NVIDIA-NeMo/Megatron-Bridge/commit/36302b7ca1305f0690e17cf4e4019ac822746872)
-# for MoE LoRA When you want to set ETP and ETP!=TP.
-# https://github.com/NVIDIA-NeMo/Megatron-Bridge/issues/1363
+# (Recommend https://github.com/NVIDIA-NeMo/Megatron-Bridge/commit/a489bed3a2410ed9b000ec13a3c90176fec7d99c or later)
+# for proper MoE LoRA support.
+
+# For Megatron communication/computation overlapping
+export CUDA_DEVICE_MAX_CONNECTIONS=1
 
 ########################### Quick Config ###########################
 
@@ -41,9 +43,17 @@ DATA=(
 
 MODEL=(
     actor_rollout_ref.model.path=Qwen/Qwen3-30B-A3B-Instruct-2507
-    actor_rollout_ref.model.lora.rank=16
-    actor_rollout_ref.model.lora.alpha=32
     actor_rollout_ref.model.use_fused_kernels=True
+    actor_rollout_ref.model.lora.rank=32
+    actor_rollout_ref.model.lora.alpha=64
+    actor_rollout_ref.model.lora.lora_A_init_method=kaiming
+    # # Optional: Use canonical LoRA
+    # actor_rollout_ref.model.lora.type="canonical_lora"
+    # actor_rollout_ref.model.lora.target_modules='["linear_q","linear_k","linear_v","linear_proj","linear_fc1_up","linear_fc1_gate","linear_fc2"]'
+
+    # # Optional: Add dropout to LoRA layers
+    # actor_rollout_ref.model.lora.dropout=0.05
+    # actor_rollout_ref.model.lora.dropout_position=pre
 )
 
 ACTOR=(