AI Era Drives Higher Demand for Data Center UPS Backup Power

AI computing data centers, the core infruastructure of artificial intelligence, encounter many difficulties as a result of the technology's quick development. AI computing data centers need a lot more processing power to handle their workloads than traditional data centers. AI server racks can achieve power densities of above 30 kW, whereas conventional server racks have a power density of roughly 5 to 8 kW. UPS backup power with improved performance is desperately needed to fulfill the much greater computing demands in AI computing centers.

Requirements for UPS Backup Power in AI Era

1.High Power Density

AI training requires tremendous processing power, raising IT server rack power density from 5-8 kW/cabinet to over 30 kW/cabinet or more, making traditional UPS systems insufficient for high-power demands in AI computing data centers. As a result, a UPS system with extremely high power density is required to resolve the issue.

2.High Reliability and Security

Many key areas now use AI technology, which means AI computing data centers have much more work. If power goes out at these computing data centers, even for a short time, big problems can happen. For instance, if an AI computing data center that helps run Intelligent Traffic System(ITS) of the city stops working, it could mess up the smart traffic light operations, real-time traffic monitoring and prediction, accident detection and emergency response. This might lead to big traffic chaos and affect the normal functioning of society.

So, keeping continuous operation of AI computing data centers is very important. The UPS systems in AIDCs must be highly stable and reliable to deal with sudden power outages.

3.Modular Design

The continuously growing needs for AI computing cause increasing power capacity demands in AI computing data centers. The modular design of backup battery systems enables users to easily add more modules, expanding the overall power capacity of the backup power system.

Additionally, if there is any problem in a battery module, only that module needs to be repaired. This helps to avoid extensive diagnosis and repairs of the entire backup power system, reducing the maintenance complexity.

4.Intelligent and Predictive Maintenance

As mentioned in previous content, AI tech is now widely applied in crucial sectors in our society. Any power interruption at AI computing data centers could lead to severe consequences. To avoid potential breakdown of AI computing data center operation, an intelligent BMS is required. A BMS can monitor battery status in real-time, identify potential faults in advance, and reduce downtime of AI computing data centers. Besides, it can optimize the charging and discharging of batteries, extending batteries' lifespan.

Vision Revo 3.0 TPX600 UPS Backup Power Solution

To meet the increasing demands for UPS in AI computing centers, Vision has launched a new backup power product for UPS: Vision Revo 3.0 TPX600 UPS Backup Power. It features high energy density, enhanced safety, prefabricated cabinets and modular design, 10 layers of protection, active balancing and liquid cooling technology, and intelligent BMS maintenance, making it an ideal choice for AI computing data centers.

More specific details regarding the REVO 3.0 TPX600 will be posted on our social media channels. Please follow us to receive updates if you're interested!