Get Started With NVIDIA Metropolis Microservices for Jetson
Release Highlights
NVIDIA Metropolis microservices for Jetson gives you a collection of powerful cloud-native microservices and building blocks to build end-to-end vision AI applications for the edge powered by NVIDIA Jetson™. Elevate your application by seamlessly integrating generative AI capabilities and future-proof your solutions through a sophisticated blend of microservices, providing an API-driven, modular, and highly extensible framework.
This latest release of NVIDIA Metropolis microservices for Jetson features:
- Two reference applications—AI-NVR and zero-shot detection using generative AI
- 15+ microservices, including application and platform services
- Full-featured media management and storage microservices
- Core platform services like IoT Gateway, API Gateway, monitoring, and unified system bus
- Cloud microservices for login, authentication, and secure invocation of device APIs
- Multi-stream AI perception with dynamic stream discovery and addition
- An analytics microservice for understanding people and object movement through physical spaces
For more information about how to get started, refer to the Quick Start Guide
Featured Resources
Technical Whitepaper
Dive into a comprehensive overview of Metropolis microservices for Jetson.
Read the WhitepaperBlog: Bringing Generative AI to the Edge
Learn how to bring generative AI applications into production faster with Metropolis Microservices for Jetson.
Read the Blog Watch the DemoBlog: Build Vision AI Applications with APIs
Learn how to build vision AI applications using APIs provided by Metropolis Microservices for Jetson.
Read the BlogGet Started Video Tutorial
Additional Resources
Blogs & Tutorials
Featured Webinars & Demo
- (Webinar part 1) Accelerate Edge AI Development With Metropolis APIs and Microservices on Jetson
- (Webinar part 2) How to Build With Metropolis Microservices for Jetson
- (Demo) Transform Edge Applications With Generative AI Using Metropolis Microservices for Jetson
- (Upcoming GTC session) A New Class of Cloud-Native Applications at the Far Edge With Generative AI
NVIDIA’s platforms and application frameworks enable developers to build a wide array of AI applications. Consider potential algorithmic bias when choosing or creating the models being deployed. Work with the model’s developer to ensure that it meets the requirements for the relevant industry and use case; that the necessary instruction and documentation are provided to understand error rates, confidence intervals, and results; and that the model is being used under the conditions and in the manner intended.