Smart City Blueprint
This documentation describes the Smart City Blueprint as released with VSS 3.3.0. Deploy it from the repository reference selected for this documentation build. Other tags and branches ship different microservice versions and are not covered by these pages. See Quickstart Guide - Docker Compose to deploy it.
The NVIDIA Smart City AI Blueprint provides a set of reference workflows tailored for key verticals. These workflows help developers quickly build and deploy real-world applications by extending the core Video Search and Summarization (VSS) capabilities with a three-computer solution architecture. The end-to-end approach covers simulation, model training, and deployment for smart-city use cases.
The blueprint consists of three high-level stages:
- Simulate - create synthetic data using open-source simulators and upscale the data through NVIDIA pipelines.
- Train - follow recipes and instructions for training real-time computer-vision models and Cosmos3 Nano Reasoner.
- Deploy - configure VSS, take advantage of unique smart-city features and use reference examples to build your own solution.
