One Control Plane.
Complete Edge AI Management.

Secure, manage, and scale your entire edge fleet with NVIDIA Fleet Command.

GET A FREE TRIAL

Deploy AI from Anywhere to Anywhere

NVIDIA Fleet Command™ is a cloud service that securely deploys, manages, and scales AI applications across distributed edge infrastructure. Purpose-built for AI, Fleet Command is a turnkey solution for AI lifecycle management, offering streamlined deployments, layered security, and detailed monitoring capabilities—so you can go from zero to AI in minutes.

Fully managed AI at the Edge

Simplified Edge AI

Move from software installation to edge deployment in just a few clicks. The “IT free” tested and optimized solution streamlines setup and management and can run even the most intensive applications at the edge.

Learn More ›
Deploy AI to any location with ease.

Streamlined Deployments

Deploy AI to any location with ease. The simplified interface provides centralized AI management and one-touch provisioning, so you can deploy and scale applications to numerous locations , accelerating the time to AI insights.

Learn More ›
AI lifecycle management

AI Lifecycle Management

Simplify your AI lifecycle management with features designed for ease of use. Update applications over the air, scale applications, and monitor AI health to optimize your deployments and maintenance—all from one screen.

Learn More ›
Fleet Command follows leading security protocols

Layered Security

Ensure application data is always protected, from cloud to edge. Fleet Command follows leading security protocols, encrypting data in transit and at rest and providing constant monitoring.

Learn More ›

Command Your Edge Fleet

Go from Zero to AI in Minutes

Edge AI through a cloud service

NVIDIA Fleet Command simplifies deployments and centralizes management of edge AI through a cloud service. After a system is installed at a physical location once, the end-to-end lifecycle can be managed by Fleet Command, making it easy to provision, update, and monitor AI at remote locations. From retailers building intelligent stores, to hospitals using AI to improve patient care, to manufacturers looking to optimize operations, Fleet Command makes managing AI at the edge easy.

DOWNLOAD DATASHEET

Fleet Command in Action

EXPERIENCE SIMPLIFIED EDGE DEPLOYMENTS

See how administrators of any skill level can deploy AI across their edge infrastructure in minutes with NVIDIA Fleet Command.

Watch Video
Deploy AI with NVIDIA Fleet Command
Deploy AI with NVIDIA Fleet Command

Deploying AI with Fleet Command

KION Group builds and operates over 6,000 automated warehouses, which include multi-shuttle and conveyor systems. Using the NVIDIA EGX™ AI platform, KION Group is developing AI applications for its intelligent warehouse systems, increasing throughput and efficiency in retail distribution centers.

Watch Video

Fast-Track Your AI Models with NVIDIA TAO and Fleet Command

Developing and deploying AI models at scale is incredibly hard and expensive. Watch how NVIDIA Train, Adapt and Optimize (TAO) lets you quickly create highly accurate AI models that can be seamlessly deployed and managed with NVIDIA Fleet Command, shortening the time to insights and value.

Watch Video
AI Models with NVIDIA

GET IMMEDIATE ACCESS TO FLEET COMMAND

Interested in getting started with NVIDIA Fleet Command? Apply for access to NVIDIA LaunchPad.

The NVIDIA LaunchPad program gives enterprises the ability to quickly test and prototype on the same complete stack they can purchase and deploy. LaunchPad resources are available in nine regions across the globe in Equinix data centers, including both NVIDIA DGX SuperPOD™ and NVIDIA-Certified Systems™ running the full NVIDIA AI software stack.

APPLY NOW

Edge AI Solutions Across Industries

Learn more about Edge AI solutions for manufacturing.

Manufacturing

With edge AI, enterprises can put inspection cameras on factory floors to enable safer, more streamlined processes. AI can analyze footage in real time and immediately flag product imperfections.

Learn More ›
Learn more about Edge AI solutions for healthcare

Healthcare

Enabling AI at the edge lays the foundation for making smart hospitals a reality. With smart sensors, physicians can get the help they need to advance patient care, increase data security, and improve operational efficiency. 

Learn More ›
Learn more about Edge AI solutions for the retail industry.

Retail

Retailers have developed several AI strategies to improve the customer experience and assist their workforce in daily operations, such as smarter checkout systems with intelligent video analytics (IVA). 

Learn More ›
Learn more about Edge AI solutions for smart cities.

Smart Cities

Smart cities are turning to accelerated AI at the edge to deliver increased pedestrian safety, improved traffic flows, better customer experiences in retail stores, and safer, more efficient hospitals.

Learn More ›
Explore Edge AI Solutions

Ecosystem

Data Monsters
Dematic
Kinetic Vision
Osaro

Ready to Simplify Your Edge Deployment?

Try simple, secure fleet management today.

GET STARTED

CONTACT US TO LEARN MORE ABOUT FLEET COMMAND

  1. Section
Send me the latest enterprise news, announcements, and more from NVIDIA. I can unsubscribe at any time.

Simplified Edge AI

Fleet Command is a cloud platform for orchestrating AI applications at the edge, offering a turnkey solution to streamline deployments with minimal infrastructure footprint. It removes the complexity of do-it-yourself building, operating, and maintaining an edge software platform, giving administrators an “IT free,” tested, and optimized solution that allows them to move from software installation to edge deployment in just a few clicks. Powerful NVIDIA-Certified Systems™ deployed at edge locations are capable of running any application—even the most intensive ones—minimizing the infrastructure needed to successfully deploy and manage AI at the edge. 

Learn more about why simplified AI deployments are important in edge computing with Considerations for Deploying AI at the Edge.

Streamlined Deployments

Combining the ease of software as a service (SaaS) and the benefits of edge computing, Fleet Command saves organizations weeks of planning and manually implementing edge infrastructure by centralizing the orchestration of AI applications across devices at the edge. One-touch provisioning turns NVIDIA-Certified Systems into AI appliances and eliminates the need for skilled IT workers to travel to edge locations to install servers. A simplified interface allows administrators of any skill level to deploy and scale custom applications to any number of locations. And a repository of AI models and containers jumpstarts new deployments, generating valuable insights faster. 

Learn more about why streamlined deployments are important in edge computing with Considerations for Deploying AI at the Edge.

AI Lifecycle Management

Fleet Command simplifies AI lifecycle management with features designed specifically for ease of use. Administrators can update applications over the air, easily scale additional applications, and monitor AI health from system to applications. A resilient software platform reduces application downtime by automatically restarting applications and migrating workloads at the onset of problems. Detailed monitoring dashboards and extensive automated processes make managing edge AI easy. 

Learn more about why AI lifecycle management is important in edge computing with Considerations for Deploying AI at the Edge.

 

Layered Security

From cloud to edge, Fleet Command offers leading security protocols to ensure application data is always protected. Applications in Fleet Command can be deployed from a secure private registry which isolates intellectual property to protect it from unauthorized users. Secure and measured boot certify against tampering, and encryption in transit and at rest safeguards valuable data. Fleet Command is a managed platform, providing constant monitoring for operational and security irregularities, shifting the burden off organizations to build and operate these features.

Learn more about why layered security is important in edge computing with Considerations for Deploying AI at the Edge.

 

Products

Technologies

Software

Resources