Nvidia is building an optional software service designed to help data center operators manage and monitor large fleets of Nvidia GPUs used in Artificial Intelligence infrastructure. As the scale and complexity of Artificial Intelligence systems increase, operators need continuous visibility into performance, temperature and power usage across distributed environments. The new service aims to provide a centralized insights dashboard so cloud providers and enterprises can track GPU health, validate that systems operate at peak efficiency and reliability, and ultimately maximize uptime.
The offering is an opt-in, customer-installed service that focuses on monitoring GPU usage, configuration and errors rather than controlling hardware. Each GPU system will communicate and share metrics with an external cloud service to enable real-time monitoring. Nvidia states that its GPUs do not include hardware tracking technology, kill switches or backdoors. The service will ship with an open-source client software agent, reflecting Nvidia’s commitment to open and transparent tooling and giving customers a reference implementation they can adapt to their own monitoring solutions.
Through a portal hosted on Nvidia NGC, customers will be able to stream node-level GPU telemetry and visualize fleet utilization globally or by defined compute zones grouped by physical or cloud locations. The dashboard will show utilization, memory bandwidth, interconnect health, power usage spikes, thermal hotspots, airflow issues and software configuration consistency, helping identify bottlenecks, failing parts and configuration drift. The agent provides read-only, customer-managed telemetry and cannot modify GPU configurations or underlying operations, while also supporting customizable reporting on GPU fleet information. Nvidia positions this software as a tool to keep Artificial Intelligence data centers running at peak health as Artificial Intelligence applications grow in number and complexity, and points readers to the upcoming Nvidia GTC event in San Jose, California, for more details.
