NRI PULSE STAFF REPORT
San Francisco, CA, May 6, 2026: SPAN, the energy technology startup founded by entrepreneur Arch Rao, has unveiled a new distributed computing platform designed to help meet the soaring power demands of artificial intelligence, with NVIDIA joining as one of its initial launch partners.
Called XFRA, the new platform is designed to create additional computing capacity by placing compute nodes in residential and small commercial spaces and using underutilized electrical capacity already available on the grid. Instead of waiting years for new large-scale data centers and power infrastructure to be built, SPAN says XFRA can help AI and cloud companies access computing power faster by making use of existing infrastructure.
At launch, XFRA will use enterprise-grade, liquid-cooled NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs, marking a major partnership for the California-based startup as it enters the rapidly growing AI infrastructure market.
“SPAN’s unique and differentiated intellectual property in power controls enables us to improve the utilization of existing grid infrastructure,” Rao said in a statement. “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.”
Rao brings deep experience in clean energy and electrification. Before founding SPAN in 2018, he held leadership roles in Tesla’s energy division, where he helped develop the company’s battery and energy storage business. He also studied engineering in India before pursuing graduate studies at Stanford University.
According to SPAN, XFRA is designed to support AI inference, cloud gaming, and other high-performance computing workloads while helping reduce pressure on already strained grid infrastructure. The company said initial deployments are expected later this year, with a goal of reaching gigawatt-scale deployment capacity by 2027.
“As the demand for AI and inference compute continues to accelerate, there is a critical need for low-latency solutions that are proximal to end users and can scale rapidly,” said Marc Spieler. “SPAN is pioneering new ways to deploy enterprise-grade GPUs in distributed environments.”
