PROVIDING AND CONTROLLING AI
FROM ANYWHERE IN THE WORLD
FROM ANYWHERE IN THE WORLD
NVIDIA Fleet Command™ is a managed cloud service that securely deploys, manages, and scales AI applications across distributed edge infrastructure. Built specifically for AI, Fleet Command is a turnkey AI lifecycle management solution that provides optimized deployments, layered security, and detailed monitoring capabilities - so you can go from zero to AI in minutes.
SIMPLIFIED EDGE-AI
Move from software installation to edge deployment in just a few clicks. The tested and optimized solution, which doesn't require dedicated IT, streamlines setup and management and can run the most intensive applications in the edge.
OPTIMIZED DEPLOYMENTS
Deploy AI to any location with ease. The simplified interface provides centralized AI management and one-touch deployment so you can deploy and scale applications across multiple locations, reducing time to AI insights.
AI LIFE CYCLE MANAGEMENT
Simplify your AI lifecycle management with features designed for ease of use. Update applications over the air, scale them, and monitor AI health to optimize your deployments and maintenance - all from one screen.
MULTILEVEL SAFETY
Ensure application data is always protected, from the cloud to the edge. Fleet Command follows leading security protocols, scans applications for malware, encrypts data in transit and at rest, and provides continuous monitoring.
What is Fleet Command?
Fleet Command is a cloud platform for orchestrating AI applications at the edge, providing a turnkey solution to streamline deployments with minimal infrastructure footprint. It removes the complexity associated with building, operating, and maintaining an Edge software platform and provides administrators with an "IT-free", tested, and optimized solution that allows them to move from software installation to Edge deployment with just a few clicks. Powerful NVIDIA-Certified Systems™ deployed at edge sites are capable of running any application - even the most intensive - and minimize the infrastructure required to successfully deploy and manage AI at the edge.
Optimised deployments
Combining the simplicity of Software as a Service (SaaS) with the benefits of edge computing, Fleet Command saves organizations weeks of planning and manual deployment of edge infrastructure by centralizing the orchestration of AI applications across devices at the edge. One-touch deployment turns NVIDIA-certified systems into AI appliances, eliminating the need for skilled IT staff to travel to edge locations to install servers. A simplified user interface allows administrators of all skill levels to deploy and scale custom applications to any number of sites. And a repository of AI models and containers accelerates new deployments and delivers valuable insights faster.
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 robust software platform reduces application downtime by automatically restarting applications and migrating workloads when problems occur. Detailed monitoring dashboards and comprehensive automated processes make managing edge AI easy.
Multilevel safety
From the cloud to the edge, Fleet Command provides leading security protocols to ensure application data is always protected. Applications in Fleet Command can be deployed via a secure private registry that isolates intellectual property to protect it from unauthorized users. Secure and metered boot protects against tampering, and encryption in transit and at rest secures valuable data. Fleet Command is a managed platform that provides continuous monitoring for operational and security irregularities, relieving organizations of the task of developing and operating these functions.
How it works
How it works
FROM ZERO TO AI IN MINUTES
Once the system is set up at the site, it can be seamlessly connected to the Fleet Command Cloud platform. Through a central interface, users can monitor the entire lifecycle of their Edge installations. The fleet can host thousands of systems, and any customized AI application can be deployed fleet-wide within minutes.
Fleet Command offers a range of features including customized dashboards for deployment monitoring, quick and easy application updates, and remote access to systems and applications for rapid troubleshooting of issues. A resilient software stack means servers are self-healing when applications are disrupted. Detailed monitoring panels provide continuous visibility into system health of applications and hardware.
Fleet Command offers a range of features including customized dashboards for deployment monitoring, quick and easy application updates, and remote access to systems and applications for rapid troubleshooting of issues. A resilient software stack means servers are self-healing when applications are disrupted. Detailed monitoring panels provide continuous visibility into system health of applications and hardware.
Future-proof for next-generation workflows
DEPLOY AI WITH FLEET COMMAND
Everseen partners with NVIDIA to help retailers avoid shrink. With NVIDIA Fleet Command and the NVIDIA EGX™ platform, Everseen developed a visual AI application that delivers practical, real-time insights through advanced machine learning, ComputerVision and Deep Learning. With the combined solution, retailers can leverage the platform for a variety of use cases - from inventory and stock management, to frictionless payment and shrink detection, to supply chain automation for optimized efficiency.
FAST TRACKING OF YOUR AI MODELS WITH NVIDIA TAO AND FLEET COMMAND
See how NVIDIA Train, Adapt, and Optimize (TAO) can help you quickly create highly accurate AI models that can be seamlessly deployed and managed with NVIDIA Fleet Command, reducing time to insight and value.
AI IN EVERY INDUSTRY
AI in the periphery enables companies to deploy inspection cameras on factory floors to keep the manufacturing process safe and running smoothly. By analyzing thousands of hours of footage, a company can immediately identify optimization gaps.
Deploying AI in the periphery is the foundation for making smart hospitals a reality. Smart sensors give physicians the help they need to make advances in patient care, increase data security, and make operations more efficient.
In retail, several AI approaches have been developed to improve the customer experience and help employees in their day-to-day business, such as smarter checkouts with intelligent video analytics (IVA).
Smart cities rely on accelerated AI in the periphery to increase pedestrian safety, improve traffic flow, and provide better customer experiences in retail and safer, more efficient hospitals.
