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Command your edge fleet with NVIDIA Fleet Command™
Streamline the provisioning and deployment of systems and AI applications at the edge with NVIDIA Fleet Command. A managed platform for container orchestration, it simplifies the management of distributed computing environments with the scale and resiliency of the cloud, turning every site into a secure, intelligent location.
Fully operational in minutes instead of weeks, NVIDIA Fleet Command is optimized to deliver AI applications at the edge simply and securely. New devices are provisioned in minutes, new deployments are created in just a few clicks, and administrators of any skill level can manage and monitor their entire edge fleet, making it the fastest and easiest way to deploy and manage AI at the edge.
Protect mission-critical edge workloads with high availability and advanced management controls.
Understand the benefits and challenges when building or buying an edge management platform.
Easily troubleshoot systems and applications with remote management features.
Remotely accessing systems and applications on Fleet Command is easy.
NVIDIA Fleet Command is secure by design, built on a zero-trust architecture with layered security designed for edge environments, including a private application registry, data encryption in transit and at rest, and secure and measured boot. It also provides ongoing managed security with constant monitoring and automated bug fixes and patches, reducing the need for costly specialized staff to build and maintain these features.
Learn what organizations should keep in mind when securing AI models at the edge and incorporating edge computing into their strategy.
NVIDIA Fleet Command seamlessly scales AI across thousands of distributed locations, turning every site into an intelligent location. Users centrally manage applications and systems with remote system provisioning, over-the-air updates, remote application and system access, monitoring and alerting, as well as system and application logging—allowing IT to ensure these widely distributed environments are operational at all times.
With Fleet Command, KION Group is securely organizing their applications, servers, and software deployments from anywhere, at any time.
Give dedicated GPU resources to applications at the edge with Multi-Instance GPU (MIG) on Fleet Command.
Using MIG on Fleet Command is easy. Check out this short demo to learn how to bring GPU resources to every application.
NVIDIA Fleet Command leverages a broad catalog of ready-to-deploy partner applications to provide easy access to AI use cases for virtually every industry. It integrates into a robust set of enterprise AI tools to create a secure end-to-end platform for edge AI that’s capable of operating in any environment.
See how Aetina took their edge AI solution from proof of concept to production, and discover the key tools and insights they learned along the way.
Learn how Innodisk developed and deployed an AI solution to perform accurate inspections in less than one second.
Learn how NVIDIA is partnering with IronYun to help make the world a smarter, safer, more efficient place with edge AI.
See how NVIDIA solutions—NVIDIA Base Command™, Fleet Command, and TAO—work together to create an intelligent video analytics application for retail.
After a system is installed at the edge, it’s easily connected to the Fleet Command cloud platform. From a central plane, users manage the entire end-to-end lifecycle of their edge deployments. Thousands of systems can be connected, and any custom AI application can be deployed across the entire fleet in minutes.
Monitor deployments with custom dashboards, update applications in just a few clicks, and troubleshoot issues with remote access to systems and applications—all with Fleet Command.
Fleet Command turns every site into an intelligent location, powering edge AI workloads across every industry.
NVIDIA Fleet Command is a simple way for us to scale our applications from one or two cameras in a POC to thousands of cameras in a production deployment.
— Paul Sun, CEO, IronYun
NVIDIA IT improved the efficiency and experience of employees entering headquarters with contactless access.
Innodisk developed and deployed a vision AI solution that could perform accurate inspections in less than one second.
NVIDIA is partnering with IronYun to power the smart space revolution, bringing AI to retailers, banks, NFL stadiums, factories, and more.
Milestone has tapped NVIDIA to modernize their camera systems by bringing NVIDIA AI video analytics to existing camera infrastructure.
Fleet Command is integrated into the Domino Data Lab Enterprise MLOps Platform to provide a seamless workflow from development to deployment.
Advanced video analytics and NVIDIA Metropolis have been combined with Fleet Command to transform our world through smarter, safer spaces.
See how administrators of any skill level can deploy AI across their edge infrastructure in minutes with Fleet Command.
Connect with experts to learn best practices for designing and building end-to-end edge deployments.
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Fleet Command comes with 24/7 NVIDIA Enterprise Support for business-critical issues, providing organizations hands-on help to troubleshoot issues and resources to find the answer to any question.