Vertiv Geist rPDU MNU5MGW1-36MBE9-3TL14A0A10-S 36-Outlets PDU

Vertiv Geist rPDU MNU5MGW1-36MBE9-3TL14A0A10-S 36-Outlets PDU

Upgradeable Switched Outlet Level Monitored rPDUs provide reliable power distribution to critical IT equipment while delivering individual outlet level control and a comprehensive view of outlet level power usage via remote network access. Includes environmental monitoring capabilities to obtain realtime environmental metrics. With the Geist Upgradeable hot-swap technology, users may easily update the rPDU technology with the addition of the appropriate Interchangeable Monitoring Device (IMD) as business needs change.

Benefits

• Remotely reboot outlets to power cycle unresponsive IT equipment or increase runtime of critical equipment upon power failure with outlet-level control.


• Reliable power distribution with local and remote outlet-level power monitoring options offer quick access to critical power usage information down to the device level to evaluate energy usage trends and maximize uptime.


• Environmental monitoring capabilities with the addition of optional environmental sensors ensure users have critical infrastructure data at their fingertips to prevent climate-related equipment failure and system downtime.


• Fault-Tolerant Daisy Chaining with RSTP simplifies intelligent rPDU connectivity and ensures data is reported even when a break in the network chain occurs. Supports up to 40 rPDUs.


• Daisy-chain up to 50 devices on a single IP address and reduce deployment time with selfconfiguration of downstream devices.

• A device fitted with multiple outputs for the distribution of electric power


• With a built-in digital current meter avoid potential overloads via switched PDUs


• Combination C13/C19 receptacle type to ensure maximum productivity with added feasibility


• NEMA L14-30P plug/connector type for reliable, productive connectivity and optimal power output


• 120 V AC input voltage for better reliance and maximum dependability


• 208 V AC output voltage for optimal performance with maximum feasibility