Fleet Adds NVIDIA DGX Station, RTX PRO Management

Fleet expands device management to NVIDIA DGX Station and RTX PRO workstations, giving IT teams centralized visibility into AI hardware security and compliance.

Written By
Jordan Smith
Jordan Smith
Oct 21, 2026
3 minute read
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Fleet Device Management is expanding its endpoint management platform to support NVIDIA DGX Station and RTX PRO workstations, enabling enterprise IT teams to manage AI computing systems alongside existing macOS, Windows, and Linux devices.

The expansion is designed to bring AI workstations into established device security, vulnerability management, and compliance workflows as organizations deploy more powerful AI infrastructure outside traditional data centers.

NVIDIA AI workstations introduce new IT management demands

NVIDIA DGX Station is a deskside AI supercomputer that builds and runs AI, featuring the NVIDIA GB300 Grace Blackwell Ultra Desktop Superchip and 748 GB of coherent memory to accelerate large AI development inference, agentic AI, and data science workloads.

Announced at NVIDIA GTC Berlin, NVIDIA RTX PRO workstations and NVIDIA DGX Station systems have introduced data-center-class capabilities into a broad range of professional environments and workflows.

“The AI workstation is now an enterprise endpoint, plain and simple,” said Mike McNeil, CEO and co-founder, Fleet. “IT teams still need to know what’s running, what’s vulnerable, and what’s changed.”

“They already have enough on their plates without building a new management stack for every new piece of AI infrastructure. They should be able to manage AI workstations alongside every other device they own, from one place, with the same visibility and controls. That’s what this update gives them,” McNeil added.

Fleet extends endpoint security and visibility to AI hardware

Fleet gives IT and security teams a single place to deploy, secure, and govern these NVIDIA systems, with visibility into software, packages, security controls, and vulnerabilities.

This helps organizations understand where AI compute is operating and whether the underlying devices are secure and compliant.

“NVIDIA is bringing powerful AI computing directly to developers, creators, engineers, and enterprise teams so they can build and run advanced AI workloads locally,” said Chris Marriott, vice president of enterprise platforms at NVIDIA. “Fleet’s support for NVIDIA DGX Station and NVIDIA RTX PRO workstations gives organizations a unified way to deploy and manage their AI systems, helping accelerate AI adoption across the enterprise.”

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Via reviewable workflows in Git, Fleet enables organizations to manage policies, configurations, deployment waves, reports, and remediation.

IT teams gain consistent, auditable controls throughout the device lifecycle, rather than creating one-off processes for new and evolving AI systems – making change visible, reviewable, and reversible as NVIDIA hardware becomes a larger part of enterprise infrastructure.

What NVIDIA device support means for MSPs

Fleet Device Management’s expansion to support NVIDIA RTX PRO workstations and NVIDIA DGX Station creates potential opportunities for MSPs and IT solution providers to extend their endpoint management services to enterprise AI infrastructure.

With Fleet providing centralized visibility into software, security controls, packages, and vulnerabilities, providers could help customers manage AI workstations alongside their existing macOS, Windows, and Linux devices without maintaining separate management processes.

MSPs and MSSPs also have an opportunity to expand endpoint security and vulnerability management services. As organizations deploy AI systems for development, inference, and data science, service providers could assess how to integrate these systems into existing security monitoring, vulnerability assessments, and remediation workflows.

For IT solution providers, NVIDIA DGX Stations bring advanced AI computing capabilities to professional environments, creating an opportunity to evaluate customers’ management and security requirements as they adopt these systems.

READ MORE: Fleet also became a member of Anthropic’s Project Glasswing earlier this year, signaling its push to enable MSPs and IT teams across secure AI needs.

Jordan Smith

Jordan Smith is an enterprise technology and cybersecurity journalist with nearly a decade of experience covering B2B IT, federal technology, artificial intelligence, cybersecurity, cloud computing, and emerging digital trends. His reporting helps business and technology leaders understand how new technologies, security challenges, and infrastructure decisions affect modern organizations. Jordan has reported on enterprise and public-sector technology for TechnologyAdvice, HCLTech, MeriTalk, and Channel Insider. His background spans cybersecurity, cloud infrastructure, AI adoption, digital transformation, and federal IT initiatives, giving him a broad perspective on the tools, policies, and innovations shaping today’s technology landscape. Before joining TechnologyAdvice, Jordan served as a Senior Technology Reporter at MeriTalk, where he covered the federal IT space, and later worked as a US Regional Reporter and Copy Editor/Writer for HCLTech. His experience across reporting, copyediting, podcasting, and event moderation allows him to translate complex technical topics into clear, timely, and useful insights for business audiences. Jordan holds a Master of Arts in Journalism from the University of Nebraska–Lincoln and a Bachelor of Science in Criminal Justice and Psychology from Edgewood University. Through his work, he helps readers stay informed about cybersecurity developments, enterprise technology trends, and the business impact of emerging IT solutions.

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