SPAN pushes AI compute into homes to bypass grid bottlenecks with XFRA
SPAN announced XFRA, a distributed data center solution to address growing AI compute demand.
By tapping into existing, underutilized power capacity in residential and small commercial spaces XFRA can deliver scalable compute power in a fraction of the time compared to new energy infrastructure buildouts.
SPAN is working with NVIDIA to use liquid cooled GPU Server Edition RTX PRO 6000 Blackwell series GPUs.
“SPAN’s unique and differentiated intellectual property in power controls enables us to improve the utilization of existing grid infrastructure,” says Arch Rao, founder and CEO of SPAN. “We have successfully deployed this capability to accelerate home electrification, unlock new home construction, and increase utility grid utilization. Now, distributed compute is the next logical extension of our technology. By building on our core strengths in power optimization and collaborating with industry leaders like NVIDIA, we are collapsing the speed-to-power gap to deliver gigawatts of cost-effective compute capacity at unprecedented speed.”
The solution intends to bridge the “speed-to-power” gap for AI workloads, which are consuming electricity at an astonishing pace.
XFRA offers benefits for scalers, homeowners, and utilities, creating a win-win scenario across the energy and compute ecosystem.
First deployments are scheduled for sometime in 2023, with a target of being in the gigawatt range by 2027.
Nokia-Blaize alliance targets GPU limits with hybrid edge AI push in Southeast Asia
Comments