Berlin, October 21 (Reuters) / PR Newswire — During the NVIDIA GTC Berlin conference, the open device management platform Fleet Device Management today announced support for NVIDIA’s entire AI hardware ecosystem, enabling enterprises to manage NVIDIA RTX PRO workstations and NVIDIA DGX Station alongside their existing macOS, Windows, and Linux devices.
The NVIDIA DGX Station, known as the "ultimate desktop AI supercomputer," is designed for building and running AI. It features the NVIDIA GB300 Grace Blackwell Ultra Desktop Superchip and 748 GB of unified memory, accelerating large-scale AI development, inference, agent AI, and data science workloads.
This announcement comes as the NVIDIA GTC Berlin conference showcases the growing role of AI hardware in enterprise settings. NVIDIA RTX PRO workstations and NVIDIA DGX Station systems have brought data center-grade capabilities to broader professional environments and workflows.
Mike McNeil, CEO and co-founder of Fleet, said: "AI workstations are now simply enterprise endpoints. IT teams still need to know what’s running, what’s vulnerable, and what’s changed. They already have enough on their plates and shouldn’t have to build a new management stack for every new AI infrastructure. They should be able to manage AI workstations from a single place, with the same visibility and control as any other device. This update is designed exactly for that."
Chris Marriott, Vice President of Enterprise Platforms at NVIDIA, said: "NVIDIA is bringing powerful AI computing directly to developers, creators, engineers, and enterprise teams so they can build and run advanced AI workloads locally. Fleet’s support for NVIDIA DGX Station and NVIDIA RTX PRO workstations provides organizations with a unified way to deploy and manage their AI systems, helping accelerate AI adoption in enterprise environments."
Fleet allows IT and security teams to view and manage these systems in one place, including operating systems, hardware, software, packages, security controls, and vulnerabilities. This helps organizations understand where AI computing resources are running and whether the underlying devices are secure and compliant.
Fleet also allows enterprises to manage policies, configurations, deployment batches, reports, and remediations through reviewable workflows in Git. Instead of creating one-off processes for ever-evolving AI systems, IT teams can gain consistent, auditable control throughout the device lifecycle. This means that as NVIDIA hardware becomes more prevalent in enterprise infrastructure, changes become visible, reviewable, and reversible.
To learn more about Fleet's support for NVIDIA driver systems, visit: https://fleetdm.com/articles/frontier-hardware-deserves-frontier-device-management.
About Fleet (fleetdm.com):
Fleet is an open platform for device management, patch management, AI/endpoint governance, and vulnerability management, supporting Mac, PC, iPhone, iPad, Android, Chromebook, desktop Linux, robots, and cloud infrastructure. Organizations from 90 countries use Fleet to manage millions of devices at scale, enhancing security and maintaining compliance. The company’s mission is to bring transparency, efficiency, and control to the world of computing devices through its open and scalable platform. Learn more at fleetdm.com.
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Alyssa Pallotti, Technical PR for Fleet Device Management
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