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Securely Deploy, Manage, and Scale AI at the Edge

Command your edge fleet with NVIDIA Fleet Command™

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Experience Secure Edge Management

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.

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Purpose-Built for AI

Turnkey AI Orchestration
Layered Security
Scale Globally
AI Ecosystem

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.

Advanced controls and protection for edge deployment

Bringing Advanced Management Features to the Edge

Protect mission-critical edge workloads with high availability and advanced management controls.

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Explore benefits of building or buying an Edge Management Platform

Build or Buy: The Hidden Costs of Edge Management

Understand the benefits and challenges when building or buying an edge management platform.

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Remote management with NVIDIA Fleet Command

Remotely Operate Edge Systems and Applications

Easily troubleshoot systems and applications with remote management features.

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Manage from anywhere on NVIDIA Fleet Command

Manage From Anywhere on Fleet Command

Remotely accessing systems and applications on Fleet Command is easy.

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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 more about Edge Computing Security

Edge Computing: Considerations for Security Architects

Learn what organizations should keep in mind when securing AI models at the edge and incorporating edge computing into their strategy.

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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.

Managing and Scaling AI Deployments at the Edge

With Fleet Command, KION Group is securely organizing their applications, servers, and software deployments from anywhere, at any time.

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Run Multiple Applications on the Same Edge Device

Give dedicated GPU resources to applications at the edge with Multi-Instance GPU (MIG) on Fleet Command.

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Learn how to use MIG on NVIDIA Fleet Command

How to Use Multi-Instance GPU 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.

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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.

Deploying AI in Smart Factories

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.

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From AI Model Development to Deployment

Learn how Innodisk developed and deployed an AI solution to perform accurate inspections in less than one second.

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Learn more about advancements in AI and edge computing

Powering a Safer, Smarter World With Edge AI

Learn how NVIDIA is partnering with IronYun to help make the world a smarter, safer, more efficient place with edge AI.

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End-to-End AI with NVIDIA Solutions

See how NVIDIA solutions—NVIDIA Base Command™, Fleet Command, and TAO—work together to create an intelligent video analytics application for retail.

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How It Works

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.

Explore Customer Success Stories

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

Deploying Edge AI in NVIDIA Headquarters

NVIDIA IT improved the efficiency and experience of employees entering headquarters with contactless access.

End-to-End AI Application Boosts Factory Efficiency

Building Smart Spaces: AI Model Development to Deployment

Innodisk developed and deployed a vision AI solution that could perform accurate inspections in less than one second.

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Explore advancements in AI and edge computing

Powering Intelligent Video Analytics

NVIDIA is partnering with IronYun to power the smart space revolution, bringing AI to retailers, banks, NFL stadiums, factories, and more.

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Building AI Bridge to Expand Vision AI Adoption to Every Industry

Adding AI to Video Management

Milestone has tapped NVIDIA to modernize their camera systems by bringing NVIDIA AI video analytics to existing camera infrastructure.

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Learn about Machine learning operations and edge AI

Bringing MLOps to the Edge

Fleet Command is integrated into the Domino Data Lab Enterprise MLOps Platform to provide a seamless workflow from development to deployment.

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Building Smarter, Safer Spaces

Advanced video analytics and NVIDIA Metropolis have been combined with Fleet Command to transform our world through smarter, safer spaces.

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