diff --git a/docker/Dockerfile.ubuntu b/docker/Dockerfile.ubuntu
index 5dc1a84f..0599621f 100644
--- a/docker/Dockerfile.ubuntu
+++ b/docker/Dockerfile.ubuntu
@@ -71,7 +71,7 @@ RUN bash /tmp/install.sh {version_args} && \
 RUN if [ "$IMAGE_TYPE" = "gpu" ]; then \
     pip install --no-cache-dir math_verify "datasets<4.8.5" "gradio<5.33" "deepspeed<0.19" ray -U && \
     pip install --no-cache-dir mcore-bridge -i https://pypi.org/simple/ -U && \
-    pip install --no-cache-dir pybind11 liger_kernel wandb swanlab nvitop pre-commit "transformers<5.13" "trl<1.0" "peft<0.20" huggingface-hub -U && \
+    pip install --no-cache-dir pybind11 liger_kernel wandb swanlab nvitop pre-commit "transformers<5.15" "trl<1.0" "peft<0.21" huggingface-hub -U && \
     pip install git+https://github.com/NVIDIA/TransformerEngine.git@stable --no-build-isolation; \
     pip install git+https://github.com/deepseek-ai/DeepGEMM.git@v2.1.1.post3 --no-build-isolation; \
     pip install -U flash-linear-attention --no-build-isolation; \
diff --git a/docker/build_image.py b/docker/build_image.py
index 29045d0b..cea28006 100644
--- a/docker/build_image.py
+++ b/docker/build_image.py
@@ -419,7 +419,7 @@ class LatestGPUImageBuilder(StableGPUImageBuilder):
             args.torchaudio_version = '2.11.0'
             args.torchvision_version = '0.26.0'
         if not args.vllm_version:
-            args.vllm_version = '0.23.0'
+            args.vllm_version = '0.26.0'
         if not args.base_image:
             # A mirrored image of nvidia/cuda:12.4.0-devel-ubuntu22.04
             args.base_image = 'nvidia/cuda:13.0.3-cudnn-devel-ubuntu22.04'