LT350 to Pilot Solar-Powered AI Micro-Data Centers at Medical Facilities in Texas

LT350 to Pilot Solar-Powered AI Micro-Data Centers at Medical Facilities in Texas March 12, 2026 A novel approach to deploying distributed AI infrastructure is set for a pilot in Texas, targeting the latency-sensitive and security-critical healthcare sector. The initiative highlights a growing trend of integrating computing power directly at the point of consumption, particularly in environments where traditional data center construction is impractical. Auddia Inc. announced this week that its soon-to-be-acquired company, LT350, has signed a non-binding Letter of Intent (LOI) with an unnamed, NYSE-listed medical real estate investment trust (REIT). The agreement paves the way for LT350's first pilot installation of its solar-integrated, parking-lot-based AI micro-data center canopy, planned for a hospital property in the Dallas-Fort Worth area. The medical REIT owns and manages a portfolio of approximately 200 facilities across the United States. LT350's proprietary design integrates modular, plug-and-play cartridges directly into the ceiling of its solar canopy structures. These cartridges house the core technology: cloud infrastructure units containing servers and GPUs, battery storage for grid services, smart inverters for managing solar energy, and EV charging components. The company's specifications indicate each GPU cartridge can house up to three units, each featuring eight AI accelerators and offering up to 10kW of liquid-cooled capacity, suggesting a potential total of 24 accelerators and 30kW per cartridge. The system is designed to deploy high-performance AI compute above existing parking lots without consuming parking spaces or requiring new land. Jeff Thramann, CEO of Auddia and founder of LT350, emphasized the strategic fit for healthcare. "Healthcare is one of the most latency-sensitive and data security-intensive environments for AI inference," Thramann stated. "We believe this LOI represents a meaningful validation of LT350’s potential to deliver secure, high-performance, on-premise inference compute directly adjacent to clinical operations." He added that the pilot is viewed as "the first step in a broader strategy to bring distributed AI infrastructure to healthcare campuses nationwide." The move signals a strategic shift for Nasdaq-listed Auddia, currently an AI-powered music app provider. The company is in the process of merging with Thramann's holding company, which owns LT350. Upon completion, the combined entity will be renamed McCarthy Finney, with LT350 operating alongside Auddia and other health-focused units. The pilot aligns with a broader industry exploration of canopy solar for data centers, as seen in projects by Digital Realty in South Africa and Switzerland. It also follows similar concepts like the eCloud system from Belgian startup Tonomia, which aims to house distributed AI platforms in solar canopies. LT350 positions its technology as building the distributed inference layer of AI infrastructure. "Hyperscalers built the training layer," Thramann noted in a prior statement. "LT350 is building the distributed inference layer — one that we believe will be faster to deploy, cheaper to operate, and dramatically more energy efficient." If the initial pilot proves successful, LT350 anticipates expanding the deployment across the medical REIT's broader national portfolio, potentially setting a new standard for on-site, sustainable AI compute in critical healthcare settings. Source: datacenterdynamics