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
The Glotzer Group
HOOMD-blue
Container
The Glotzer Group
HOOMD-blue

HOOMD-blue is a highly flexible and scalable particle simulation toolkit. It makes use of high-level Python scripts to set initial conditions, control simulation parameters, and extract data for in situ analysis.

LayerLabelCreated
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ENTRYPOINT
["/usr/bin/nventry" "-ofed_base_dir=/usr/local/ofed" "-ucx_base_dir=/usr/local/ucx"]
09/06/2019 6:19 PM UTC
sha256:84d8bf8badcb7b981b650297ec70b34fcf3fc517bfd0cf630c82cd4629b11ac7COPY
file:3408933a8513b9631f8060c844dd0af8337aa303c325a376bb5358ac7e6ede49 in /usr/bin/nventry
09/06/2019 6:19 PM UTC
sha256:40624c419531be45b5dee9c8eaaae467970d9fdf039347b9813b9581ca605926COPY
multi:a4417839648d08603b58802c83372f859f7865f66c70a2002f823af1dcb6a50d in /usr/src/
09/06/2019 6:18 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4WORKDIR
/host_pwd
09/06/2019 6:18 PM UTC
sha256:b87923ede8474e0fe4f6636aa824b449bd056d500b9c73238334589f6f8f88ebRUN
mkdir /host_pwd
09/06/2019 6:18 PM UTC
sha256:4f97e2512d0db73fc7e3e07990b5e70f0728b5fd622813904f437c90fec9d3a4RUN
ldconfig
09/06/2019 6:18 PM UTC
sha256:af435ca60ad3cd7be41f91535a865d3a4898e7af1bd7d660c64b55d3e312a36bCOPY
file:b3373cd95a88b0abc02d73b40b4d6eb1429d854c5f3ac9a6d19cd53a68fa2381 in /usr/local/cuda/targets/x86_64-linux/lib/libcurand.so
09/06/2019 6:18 PM UTC
sha256:03721798091c5b87304d9897a33b94d0013c70e19eafb9bb784703e458fb7d61COPY
file:de8e569678d3801d8470838d0714132653a611ab4673fb3e3a39be9561716d2c in /usr/local/cuda/targets/x86_64-linux/lib/libcusparse.so
09/06/2019 6:18 PM UTC
sha256:10e10496698196745db976ed8f96232ac131e48606450f006a5566fdf07dffa3COPY
file:b104db8d1748f36c3da240843fbe39690d1a0e88dd7407d4f646ead85d384c30 in /usr/local/cuda/targets/x86_64-linux/lib/libcusolver.so
09/06/2019 6:18 PM UTC
sha256:98186776094af4331fa56e3a3e136eacaf7565721bfc40e41ae520d3aab3ec37COPY
file:13683a745a754c9991c4761adc06baebc3852af5131c18d7e594dba3cc51f774 in /usr/local/cuda/targets/x86_64-linux/lib/libcufft.so
09/06/2019 6:18 PM UTC

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.