Cities and enterprises around the world are using AI to reimagine how their most valuable physical assets and spaces are managed. The combination of NVIDIA GPU-accelerated computing and frameworks like NVIDIA Metropolis is supercharging a new generation of vision AI applications. These solutions significantly increase operational efficiency and safety across a broad range of spaces—from city streets and airports to event centers and factory floors.
Download this free eBook to learn how NVIDIA Metropolis is helping to build smarter spaces around the world.
Building the AI-powered city.
AI delivers powerful new ways to create more sustainable cities, maintain infrastructure, and improve public areas such as roadways for residents and communities. It all starts with the ability to turn data collected from trillions of sensors and other IoT devices into business-critical decisions with vision AI.
Automating airports from curbside to tarmac.
With terminals serving millions of passengers a year, airports must accurately identify and manage incidents as efficiently as possible to minimize disruptions to passengers and airport operations. AI-enabled video analytics solutions transform video cameras from throughout the premises into data-driven insights.
Frictionless safety for corporate and educational campuses.
Experience proactive safety solutions in corporate buildings and educational campuses with Vision AI to enable always-on monitoring and immediate response times to potential concerns.
Creating AI-enhanced fan experiences.
Entertainment venues are created for fans to enjoy sports, concerts, and other live events. But they also need to be reliably safe, logistically efficient, and operate with a robust security infrastructure of IoT sensors and cameras to react to concerns in real time.
Powering intelligent stores with AI.
With AI-enabled intelligent stores, retailers are reducing shrinkage, eliminating stockout, and gaining visibility into in-store customer behavior to optimize merchandising. Data from cameras and sensors provides valuable analytics that enable smart decision making, improve operations, and increase efficiency. Additionally, the same infrastructure can be used for a faster customer checkout experience, including fully automated checkout systems.
Reinventing manufacturing with AI.
Automation and monitoring of industrial assets, systems, processes, and environments are increasingly important across manufacturing. Companies are combining AI solutions with IoT sensors to produce the real-time insights needed to create a safer, more efficient workplace.
Learn how AI is being used to increase public safety, operational efficiency and sustainability.
NVIDIA Metropolis member NoTraffic and Canadian telco Rogers Communications deployed a 5G-connected, AI-enabled smart traffic solution using NVIDIA technology at the University of British Columbia (UBC) that improved traffic flow and reduced delays and emissions
NVIDIA Inception and Metropolis member Zensors deployed its vision AI platform at Toronto’s Pearson International Airport, significantly reducing wait times in customs lines.
KoiReader Technologies and NVIDIA help PepsiCo achieve precision and efficiency in dynamic distribution environments.
The full development and deployment stack from NVIDIA enabled us to move straight into production and skip the AI lab. This gave us faster and better results than we ever could imagine, and made us redefine our approach when building AI solutions.
– Nicholai Stalung, Head of Data Science at Trifork
Learn about the AI and HPC hardware, software, and networking solutions for smart spaces.
NVIDIA Metropolis is an application framework, set of developer tools, and partner ecosystem that brings visual data and AI together to improve operational efficiency and safety across a broad range of industries. It helps make sense of the flood of data created by trillions of sensors for frictionless retail, streamlined inventory management, traffic engineering in smart cities, optical inspection on factory floors, patient care in healthcare facilities, and more.
AI and cloud-native applications, IoT and its billions of sensors, and 5G networking make large-scale AI at the edge possible. Explore the NVIDIA solutions in enterprise edge, embedded edge and industrial edge, all of which transform that possibility into real-world results, automating intelligence at the point of action and driving decisions in real time.
With NVIDIA Omniverse Enterprise deployed on NVIDIA OVX™, enterprises are developing physically accurate, AI-enabled digital twins. This gives them the superpowers to design, simulate, and optimize products, equipment, and processes in real time before going to production.
NVIDIA Omniverse Replicator is a core extension of the Omniverse platform. It letsresearchers and enterprise developers generate physically accurate synthetic data and easily build custom synthetic data generation tools to accelerate the training of computer vision AI models and networks.
NVIDIA Riva is a GPU-accelerated multilingual speech and translation AI software development kit for building fully customizable, real-time conversational AI pipelines. These include automatic speech recognition (ASR), text-to-speech (TTS), and neural machine translation (NMT) applications that can be deployed in clouds, in data centers, at the edge, or on embedded devices. Riva is part of the NVIDIA AI Enterprise software platform, which streamlines development and deployment of production AI.
AI workflows are cloud-native, packaged reference examples that illustrate how NVIDIA AI frameworks can be leveraged to build AI solutions. With pretrained models, training and inference pipelines, Jupyter Notebooks, and Helm charts, AI workflows accelerate the path to delivering AI solutions.
Large language models (LLMs) are hard to develop and maintain, requiring mountains of data, significant investment, technical expertise, and massive-scale compute infrastructure. Starting with NeMo’s pretrained foundation models rapidly accelerates and simplifies this process. NeMo LLM service running on NVIDIA AI platform provides enterprises the fastest path to customizing and deploying LLMs on private and public cloud or accessing them through the API service.
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Discover how AI-video analytics is disrupting industries globally and making spaces smarter, safer, and more sustainable.
NVIDIA Metropolis makes it easier to develop and sell AI-vision applications and services across any industry, including retail, manufacturing, smart cities, agriculture, and more.
Join the Metropolis partner ecosystem and become an important member of a large and growing family of companies investing in the most advanced AI techniques, state-of-the-art deployment platforms, and enterprise-class approach to their solutions.
Evolve your startup with go-to-market support, technical expertise, training, and funding opportunities.
Use JupyterLab notebooks and Python application samples on your NVIDIA Jetson Nano™. It lets you build new projects that extract meaningful insights from video streams through deep learning video analytics using NVIDIA DeepStream SDK .
Gain the knowledge and skills needed to enable the real-time transformation of raw video data from widely deployed camera sensors into deep learning-based insights.
In this Deep Learning Institute (DLI) workshop, developers will learn how to create an end-to-end hardware-accelerated industrial inspection pipeline to automate defect detection.
NVIDIA solutions for the smart cities and spaces industry go beyond products. Our partners are here to assist your organization at every level to build and execute transformative AI strategies, products, and services.
Our experts can help your company reach new levels of innovation.
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