Build Smart Cities With AI

NVIDIA Metropolis is an application framework, set of developer tools, and ecosystem that brings visual data and AI together. It simplifies the development, deployment, and scaling of visual AI agents from edge to cloud—enhancing operational efficiency, transportation systems, and safety across smart cities use cases.

Cities across the globe are turning to digital twins and AI agents for urban planning scenario analysis, and data-driven operational decisions. The NVIDIA Blueprint for smart city AI provides the complete software stack needed to accelerate the development and testing of AI agents in physically accurate digital twins of cities.

NVIDIA Omniverse™ enables physically accurate digital twins and city-scale simulations to help cities design infrastructure, anticipate challenges, and optimize resources. NVIDIA Cosmos™ accelerates physical AI development with world models, guardrails, and data pipelines that generate synthetic data and speed up model training.

NVIDIA Cosmos is a platform purpose-built for physical AI, featuring state-of-the-art generative world foundation models, guardrails, and an accelerated data processing and curation pipeline. With Cosmos, developers can accelerate physical AI development for autonomous vehicles (AVs), robots, and video analytics AI agents.

Large language models (LLMs) are hard to develop and maintain, requiring mountains of data, technical expertise, and massive compute. NVIDIA NeMo™ and its pretrained foundation models dramatically simplify this process. NeMo LLM service running on the NVIDIA AI platform offers the fastest path to customizing and deploying LLMs or accessing them through the API service.

NVIDIA® Riva is a multilingual speech and translation AI SDK for building fully customizable, real-time conversational AI pipelines. These include automatic speech recognition, text-to-speech, and neural machine translation applications that can be deployed in clouds, in data centers, at the edge, or on embedded devices.