NVIDIA is releasing NVIDIA Mellanox UFM Cyber-AI platform, minimizing downtime in InfiniBand data centers by harnessing AI-powered analytics to detect security threats and operational issues, as well as predict network failures.
The new platform provides alerts of abnormal system and application behavior, and potential system failures and threats, as well as performs corrective actions. It is also targeted to deliver security alerts in cases of attempted system hacking to host undesired applications, such as cryptocurrency mining.
This extension of the UFM platform product portfolio—which has managed InfiniBand systems for nearly a decade—applies AI to learn a data center’s operational cadence and network workload patterns, drawing on both real-time and historic telemetry and workload data.
Against this baseline, it tracks the system’s health and network modifications, and detects performance degradations, usage and profile changes.
“The UFM Cyber-AI platform determines a data center’s unique vital signs and uses them to identify performance degradation, component failures and abnormal usage patterns,” said Gilad Shainer, senior vice president of marketing for Mellanox networking at NVIDIA. “It allows system administrators to quickly detect and respond to potential security threats and address upcoming failures, saving cost and ensuring consistent service to customers.”
The UFM Cyber-AI platform complements the UFM Enterprise platform, which provides network monitoring, management, performance optimization, configuration checks, and secure cable management.
NVIDIA also added a third member of the UFM family, the UFM Telemetry platform. This tool captures real-time network telemetry data, which is streamed to an on-premises or cloud-based database to monitor network performance and validate the network configuration.
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