📍 San Francisco, California, United States·Est. 2018
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Private Company

Span

AI infrastructure company turning underutilized residential electrical capacity into distributed AI compute via the XFRA network.

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📋About Span

Updated June 15, 2026

Span is a San Francisco-based smart-electrical-infrastructure company founded in 2018 by Arch Rao, formerly Tesla's Head of Products, Application & Sales Engineering for Powerwall. The company's thesis is that residential electrical panels are software-controllable platforms, not passive breaker boxes — its Span Panel adds circuit-level metering and dynamic load control, its Span Drive product extends the same control plane to Level 2+ EV charging, and its Span Edge product packages the panel for new construction and microgrid use cases. Span's structural insight is that residential electrical service averages roughly 40 percent utilization, so a software-controlled panel can safely allocate the remaining headroom to a new always-on load without tripping the main breaker — the exact substrate that XFRA is built on.

On April 14, 2026, Span announced XFRA, a distributed data center built from compute nodes installed in homes and small commercial sites that uses Span Panel headroom to power 16-GPU NVIDIA Blackwell inference nodes. NVIDIA is the launch silicon partner, PulteGroup is the launch homebuilder partner, and ArcTern Ventures is among Span's backers. Span plans a Q3 2026 proof of concept of approximately 100 nodes in new-construction homes in a southwestern US state and targets gigawatt-scale capacity by 2027 — claiming the deployment can be roughly six times faster and five times cheaper than the equivalent 100-megawatt centralized data center buildout. XFRA repositions Span from a residential-energy company to a participant in the AI compute infrastructure market.

🛠️Products & Tools (1)

XFRAEnterpriseAI Infrastructure

Distributed AI inference data center built from 16-GPU NVIDIA Blackwell compute nodes installed in homes and small commercial sites, using Span Panel headroom and the XSOL orchestration layer to deliver gigawatt-scale capacity faster and cheaper than centralized buildouts.