Skip to main content
ContainersNVIDIADeepSeek-R1NVIDIALlama-3.1-Nemotron-70B-InstructNVIDIAPyTorch
CollectionsNVIDIAOmniverse Kit (FB)NVIDIADeepStream SDKNVIDIAOmniverse Kit App Streaming
ModelsNVIDIAStyleGAN3 pretrained modelsNVIDIAPeopleNetNVIDIATrafficCamNet
ResourcesNVIDIARiva Skills Quick Start
Helm ChartsNVIDIAGPU OperatorNVIDIANVIDIA NIM Operator
NVIDIA
Dynamo SGLang Runtime
Container
NVIDIA
Dynamo SGLang Runtime

The Dynamo SGLang runtime image is a containerized build of Dynamo + SGLang which serves as the base runtime environment for sglang based inference with Dynamo's distributed inference framework.

LayerLabelCreated
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4CMD
—
10/21/2026 10:11 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ENTRYPOINT
/opt/nvidia/nvidia_entrypoint.sh
10/21/2026 10:11 PM UTC
sha256:a7e30571987ebdf45da9404cce05bace13d4c2789e81e036d997f8d11dd99439COPY
/legal /legal
10/21/2026 10:11 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ENV
NVIDIA_DRIVER_CAPABILITIES=video,compute,utility
10/21/2026 10:10 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4CMD
—
10/21/2026 10:10 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ENTRYPOINT
/opt/nvidia/nvidia_entrypoint.sh
10/21/2026 10:10 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ENV
DYNAMO_COMMIT_SHA=701da25292ecca8f64d770cc0b17d389200019a1
10/21/2026 10:10 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
DYNAMO_COMMIT_SHA=701da25292ecca8f64d770cc0b17d389200019a1
10/21/2026 10:10 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4USER
dynamo
10/21/2026 10:10 PM UTC
sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1RUN
MODELEXPRESS_VERSION=0.7.0 CUDA_MAJOR=13 ENABLE_GPU_MEMORY_SERVICE=true set -eux; remaining="$(find /usr /opt /workspace /sgl-workspace -xdev         \( -type f -o -type l \)         \( -name 'libx264*.so*' -o -name 'libx265*.so*'         -o -name 'libopenh264*.so*' -o -name 'libfdk-aac*.so*'         -o -name 'libfaac*.so*' -o -name 'libvo-aacenc*.so*'         -o -name 'libaacplus*.so*' \) -print)"; if [ -n "${remaining}" ]; then echo "ERROR: H.264/H.265/AAC codec libraries remain in the SGLang image:" >&2; echo "${remaining}" >&2; exit 1; fi; python3 -c 'import soundfile, torchaudio; from PIL import Image'
10/21/2026 10:10 PM UTC
1-10 of 152 items

Modal Content

NVIDIA uses cookies to improve your experience on our web site. We and our third-party partners also use cookies and other tools to collect and record information you provide as well as information about your interactions with our websites for performance improvement, analytics, and to assist in marketing efforts. By clicking "Accept All", you consent to our use of cookies and other tools as described in our Cookie Policy. You can manage your cookie settings by clicking on "Manage Settings." By continuing to use this site or by clicking one of the buttons below, you agree to our Terms of Service (which contains important waivers). Please see our Privacy Policy for more information on our privacy practices.

Manage Settings