Xeal Launches Laitent, Using Idle EV Charging Capacity for Edge AI Compute

Xeal launched Laitent, which it describes as the world’s first edge inference compute network using idle electric vehicle charging capacity. The company plans to use more than 200 MW of permitted and installed electrical infrastructure across more than 1,600 properties to provide compute capacity. Xeal announced the news on September 18, 2026.

Xeal, which has one of the five largest Level 2 EV charging footprints in the U.S., plans to deploy more than 100,000 NVIDIA GPUs alongside its EV charging infrastructure. The company is a member of NVIDIA Inception.

Xeal has also established partnerships with Rafay Systems for AI infrastructure orchestration, Spectrum Business for dedicated enterprise-grade fiber supporting inference workloads, dozens of real estate and property managers, and a Tier 1 inference provider for up to 5 MW of compute.

The first Laitent Pod is scheduled to come online with partner JVM Realty by the end of 2026.

“If you need inference compute today and can’t wait for a new data center to come online, Laitent can accelerate your timeline from years to months,” said Nikhil Bharadwaj, co-founder and CEO of Xeal. “Laitent is the fastest way to bring new compute online, tapping already permitted and grid-connected, yet idle energy capacity, located right where it’s needed for ultra-low latency, with no water hookup requirements.”

Xeal’s approach uses electrical capacity that is already available at EV charging sites. EV charging installations are permitted for a maximum energy load, but the sites typically operate at less than 10% of their permitted capacity. Laitent is designed to use the remaining 90% for compute.

The unused energy capacity is routed through the Laitent Pod using Xeal’s dynamic power orchestration software. The system can activate a single slice of a single GPU or support a distributed network operating across a metropolitan area while meeting performance service-level agreements.

“As AI adoption grows, infrastructure must become more distributed, flexible and energy efficient, placing the right workloads where power and capacity are available,” said Marc Spieler, senior managing director for the Global Energy Industry at NVIDIA. “By pairing NVIDIA accelerated computing with Xeal’s existing grid-connected EV charging footprint, Laitent offers an innovative way to bring low-latency inference closer to users while making better use of infrastructure that has already been built.”

Haseeb Budhani, CEO of Rafay Systems, said the industry has been seeking ways to bring inference closer to users without waiting years for data center construction.

“Rafay’s orchestration layer turns Xeal’s distributed EV charging sites into a production-grade, GPU-ready compute fabric, so operators get hyperscaler-level management without hyperscaler-level infrastructure,” Budhani said. “This is exactly the kind of distributed, energy-aware AI infrastructure the market needs next.”

Each Laitent Pod is approximately the size of a single parking space and can contain up to 48 GPUs. The pods use self-contained independent cooling, require no water hookup and operate at less than 65 decibels, which Xeal compares to the noise level of a washing machine.

Laitent Pods are designed to be located in metropolitan areas, which Laitent calls the Metro Edge. The company says this positioning can provide latency below 20 milliseconds, reducing the delay associated with running inference workloads from more distant data centers.

Laitent also provides property owners with potential ancillary revenue. Xeal says a Laitent Pod can add as much as $1 million in property value while requiring little to no upfront investment from the property owner.

“With Laitent, Xeal is creating new ancillary revenue streams from infrastructure already in place across our communities,” said Steve Boyack, chief operating officer of JVM Realty, which has worked with Xeal since 2023. “For property owners, the combination of a new income stream with little-to-no upfront investment creates meaningful financial upside.”

Laitent Pod features include:

• Powered by idle EV charging capacity
• Up to 48 NVIDIA Hopper or Blackwell Ultra GPUs
• Self-contained independent cooling with no water hookup required
• Quiet operation at less than 65 dBs, comparable to a washing machine
• Fixed rental or ancillary revenue for the site owner
• Adds up to $1 million in property value for little-to-no investment
• All power bills covered as a tenant passthrough
• Potential savings for EV charging customers
• Outdoor-ready NEMA 4 enclosure
• Installation and operation within hours
• Footprint of a single parking space

Beyond the initial 200 MW of installed charging capacity, Xeal plans to unlock more than 1 GW of existing electrical headroom across real estate and EV charging deployments.

Xeal says it has built more than 1,600 EV charging sites during the past seven years and has a team experienced in siting and installing energy infrastructure across more than 160 metropolitan areas in the U.S.

Xeal is a technology-focused EV charging company operating across mobility, real estate, IoT and energy. Its patented Xeal Protocol enables its charging system to operate without cellular, Wi-Fi or Ethernet connections, which the company says provides 100% uptime while eliminating the need for costly IT infrastructure.

The system provides property owners with metered payments, dynamic load management and revenue sharing, while drivers can use a tap-to-charge experience. Xeal operates in more than 500 cities across the U.S.

Laitent is an edge inference compute network powered by idle EV charging capacity. Its modular Pods are designed to avoid utility power permitting, minimize noise and eliminate the need for a water hookup, backup generators, gas turbines or large-scale construction associated with new infrastructure.