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Displaying 24 results

Aerial CUDA-Accelerated RAN
NVIDIA
An SDK (Software Development Kit) for building commercial-grade, AI-native, 3GPP, and O-RAN compliant 5G/6G gNB software on NVIDIA-accelerated computing platforms.
Container
Aerial Omniverse DT SIM
NVIDIA
Aerial Ominverse DT SIM image contains the worker needed by the Aerial Omniverse Digital Twin to perform radio environment and network simulations.
Container
Aerial Framework
NVIDIA
A toolchain for generating high-performance, GPU-accelerated 5G/6G pipelines from Python and a modular, real-time runtime for executing the pipelines on NVIDIA Aerial™ RAN Computer platforms.
Container
Aerial Omniverse DT GIS
NVIDIA
Aerial Omniverse DT GIS image contains the pipelines necessary to take CityGML and OSM geospatial data and create OpenUSD scenes that the DT SIM worker can operate on.
Container
Aerial Omniverse DT Assets
NVIDIA
Containerized sample scenarios for the evaluation of the simulation platform.
Container
Aerial Omniverse DT Jupyter
NVIDIA
Jupyter notebook image can be used to access the data produced by the DT SIM worker for analysis and visualization.
Container
Aerial Omniverse DT GIS Runtime
NVIDIA
Aerial Omniverse DT GIS image contains the pipelines necessary to take CityGML and OSM geospatial data and create OpenUSD scenes that the DT SIM worker can operate on.
Container
Aerial Omniverse DT Sim Runtime
NVIDIA
Aerial Ominverse DT SIM image contains the worker needed by the Aerial Omniverse Digital Twin to perform radio environment and network simulations.
Container
Aerial CUDA-Accelerated RAN
NVIDIA
An SDK (Software Development Kit) for building commercial-grade, AI-native, 3GPP, and O-RAN compliant 5G/6G gNB software on NVIDIA-accelerated computing platforms.
Resource
Aerial Omniverse DT Sim Source
NVIDIA
This is the source code for the Aerial Omniverse Digital Twin. It comes with the build environment necessary to create custom docker runtime images.
Resource
Aerial Omniverse DT Installer
NVIDIA
This bundle can be run in order to simplify the installation of the Aerial Omniverse Digital Twin.
Resource
Aerial Omniverse DT Assets
NVIDIA
The aodt-assets resource is a companion package for getting up and running quickly. It includes two zip files — demo.zip and assets.zip — containing a small sample map of Tokyo and the essential assets needed to get started.
Resource
Aerial CUDA-Accelerated RAN Attribution
NVIDIA
Attribution for third party packages is available here. Source code is included for OSS packages.
Resource
Aerial CUDA-Accelerated RAN
NVIDIA
An SDK (Software Development Kit) for building commercial-grade, AI-native, 3GPP, and O-RAN compliant 5G/6G gNB software on NVIDIA-accelerated computing platforms.
Collection
Nucleus
NVIDIA
This is the package used to configure and deploy the Omniverse Nucleus server.
Resource
Aerial Omniverse DT UI
NVIDIA
The graphical user interface of the Aerial Omniverse Digital Twin.
Resource
Optimized LDPC decoder binaries
NVIDIA
Architecture-specific optimized binaries of LDPC decoder
Resource
Aerial Omniverse DT Sim Source without ACAR
NVIDIA
This is the source code for the Aerial Omniverse Digital Twin without ACAR. It comes with the build environment necessary to create custom docker runtime images.
Resource
AODT Attribution
NVIDIA
Attribution for third party packages is available here. Source code is included for OSS packages.
Resource
Aerial FAPI Dissector
NVIDIA
Wireshark plugin for decoding FAPI messages captured as nvipc.pcap in NVIDIA Aerial.
Resource
DOCA for Aerial
NVIDIA
DOCA debian packages for Aerial
Resource
Aerial Framework Attribution
NVIDIA
Attribution for third party packages is available here. Source code is included for OSS packages.
Resource
Aerial Framework
NVIDIA
A toolchain for generating high-performance, GPU-accelerated 5G/6G pipelines from Python and a modular, real-time runtime for executing the pipelines on NVIDIA Aerial™ RAN Computer platforms.
Collection
Aerial Omniverse Digital Twin
NVIDIA
NVIDIA Aerial™ Omniverse Digital Twin is a collection of frameworks and software tools for next-generation digital twins, to allow cutting edge research and development of 5G and 6G wireless systems.
Collection
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