
Supercapacitors promise millisecond response for AI-induced power transients, but most experts see them complementing, not replacing, UPS systems and batteries.
AI workloads create sharp power spikes that conventional data center power systems struggle to handle. Supercapacitors are devices that store energy and release it in milliseconds to seconds, making them potentially useful for smoothing these sudden power demands. Rather than replacing existing backup systems like batteries and uninterruptible power supplies, supercapacitors are being tested alongside them to handle short bursts while those systems provide longer-term support. The data center supercapacitor market is still early but growing rapidly, with three different technological designs competing for deployment.

Under the One Big Beautiful Bill Act, data center projects in rural areas could be eligible for major tax benefits starting next year. Some hyperscalers do not seem eager to take the free cash.

The price of anything with memory is skyrocketing thanks to AI. Aging streaming devices are no exception.
NVIDIA announced a new 64GB configuration of DGX Spark — from Acer, ASUS, Dell, Gigabyte, HP and MSI — its GB10-powered desktop AI system. It gives developers a way to start with one system for local models and agents, then cluster two 64GB units for 128GB of memory across the cluster and more compute when workloads grow. The direct message is: Run open models and always-on agents on your own desk, then cluster DGX Spark system as the work grows – instead of on a metered API. The ti
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