
As the scale and complexity of AI infrastructure continue to grow, data center operators need to maintain continuous visibility into factors such as performance, temperature and power consumption. These insights enable operators to proactively monitor and adjust data center configurations across large-scale distributed systems, ensuring they operate with maximum efficiency and reliability.
NVIDIA is developing software solutions for visualizing and monitoring NVIDIA GPU clusters, delivering insight dashboards to cloud partners and enterprises that help maximize GPU uptime across their entire compute infrastructure.
This opt-in service is selected, installed and controlled by the customer for monitoring GPU usage, configurations and errors. It will include an open-source client software agent—as part of NVIDIA’s ongoing commitment to open, transparent software—designed to help customers unlock the full performance potential of their GPU systems.
With this service, data center operators will be able to:
①Track power consumption peaks to maximize performance per watt without exceeding energy budgets
②Monitor utilization, memory bandwidth and interconnect health across entire clusters
③Detect hotspots and airflow issues early to avoid thermal throttling and premature component aging
④Verify consistent software configurations and settings to ensure reproducible results and reliable operation
⑤Identify errors and anomalies for early detection of faulty components
These capabilities help enterprises and cloud providers visualize their GPU clusters, resolve system bottlenecks and optimize productivity, driving higher return on investment.
This optional service provides real-time monitoring and enables each GPU system to communicate with and share GPU metrics to external cloud services. NVIDIA GPUs feature no hardware tracking technologies, kill switches or backdoors.
Open-Source Agent Delivers Insights to Data Center Owners
The service will be equipped with a client software agent that customers can install to stream node-level GPU telemetry data to a portal hosted on NVIDIA NGC. Customers can visualize their GPU cluster utilization in the dashboard, both at a global level and by compute zone—defined as a group of nodes registered at the same physical or cloud location.

The client tool agent is also planned to be open-sourced to deliver transparency and auditability. It will serve as a practical example to demonstrate how customers can integrate NVIDIA tools into their own GPU infrastructure monitoring solutions, whether for mission-critical compute clusters or entire GPU fleets.
This software empowers enterprises to gain visibility into their GPU inventory, yet it cannot modify GPU configurations or underlying operational mechanisms. It provides read-only telemetry data, with full management and customization capabilities retained by the customer.
The service also enables customers to generate detailed reports that outline GPU cluster information.
As the volume and complexity of AI applications continue to rise, modern AI infrastructure management is evolving in lockstep to adapt to this trend. AI is reshaping industries and applications across the board, making it critical to ensure AI data centers operate at an optimal state—and this software service is built precisely for this purpose.