LT350 Publishes Whitepaper on Distributed AI Infrastructure for Enhanced Inference Economy

BOULDER, Colo., March 30, 2026 (GLOBE NEWSWIRE) – Auddia Inc. (NASDAQ: AUUD) has announced the release of a significant whitepaper by LT350, titled Distributed, Power-Sovereign AI Infrastructure for the Inference Economy. This document provides an in-depth analysis of LT350’s innovative modular canopy architecture, which is designed to convert existing parking lots into power-sovereign AI inference nodes, optimised for low latency.

The whitepaper is readily available on the LT350 website for those interested in exploring this transformative approach.

LT350 is set to become part of a new holding company alongside Auddia, pending the completion of Auddia’s proposed business combination with Thramann Holdings, LLC.

As the demand for AI workloads surges, the global datacentre ecosystem faces considerable challenges, including power limitations, land scarcity, and delays in grid interconnection. Reports from reputable organisations such as the International Energy Agency, FERC, McKinsey, CBRE, and JLL highlight a critical need for alternative solutions, as conventional datacentre development struggles to keep pace with the rapid growth of AI training and inference requirements.

Jeff Thramann, founder of LT350, commented on the shift in AI needs: “AI is moving from centralised training to widespread, real-time inference. Inference necessitates computational resources to be situated close to data generation sites such as hospitals, financial institutions, biotech campuses, mobility depots, and retail hubs. LT350 is specifically designed for this emerging landscape.”

A New Paradigm for AI Infrastructure

The LT350 platform introduces a novel approach to AI infrastructure, featuring distributed, power-sovereign modular AI canopies situated directly over pre-existing parking lots. Each canopy is equipped with:

  • GPU cartridges that are modular and allow for hot-swapping of computational resources.
  • Memory cartridges that are tailored for KV-cache offloading and long-context inference.
  • Battery cartridges designed for behind-the-meter energy storage and peak-shaving.
  • Solar energy generation systems mounted on the rooftop of the canopies.
  • Local fibre backhaul to ensure high-bandwidth connectivity.
  • Physical isolation capabilities for workloads aligned with healthcare, financial, and defence sectors.

LT350 asserts that this architecture facilitates the establishment of AI inference nodes within weeks or months, contrasting sharply with the years typically required for traditional datacentre setups, thereby circumventing issues related to land acquisition, zoning challenges, and interconnection delays.

Power Sovereignty as a Competitive Advantage

With regulatory bodies increasingly mandating that large energy consumers ‘bring their own power’, LT350’s hybrid solar-plus-storage model promises predictable power costs, resilience against curtailment, and a reduction in interconnection challenges. The whitepaper elucidates how behind-the-meter architectures are becoming vital as the demand for AI-driven electricity escalates.

Designed for Regulated, High-Value Environments

The deployment model of LT350 allows for canopies to be installed within close proximity to critical facilities such as hospitals, financial institutions, defence installations, and autonomous vehicle depots. The attributes of this model are essential for:

  • Real-time inference.
  • Agentic workflows.
  • Long-context models.

A Scalable Framework for Inference Workloads

The whitepaper details how LT350’s memory-augmented architecture is tailored to accommodate the next generation of inference workloads, specifically including long-context models, agentic systems, and high-bandwidth data flows from autonomous vehicles. By effectively managing KV-cache and alleviating cross-GPU communication bottlenecks, LT350 positions itself as a specialised inference fabric, rather than simply functioning as a GPU host.

The complete whitepaper, Distributed, Power-Sovereign AI Infrastructure for the Inference Economy, can be accessed here.

For further information about LT350, please visit www.LT350.com.

About LT350, LLC

LT350 is a pioneering distributed AI data centre company that holds 13 issued and 3 pending patents for its proprietary solar parking lot canopy infrastructure platform, which integrates modular battery storage and GPU cartridges. The aim of LT350 is to create the most secure, low-latency, cost-effective, and rapidly deployable network of distributed AI data centres at the edge, utilising underutilised parking lot space while enhancing local utility power infrastructure.

About Auddia Inc.

Auddia is revolutionising the way consumers interact with AM/FM radio, podcasts, and audio content through its proprietary AI platform. The company’s flagship audio superapp, faidr, introduces several industry-first features, including a platform for artists to gain guaranteed exposure to radio listeners.

For more information, please visit www.auddia.com.

Cautionary Note on Forward-Looking Statements

This communication includes forward-looking statements regarding Auddia, Thramann Holdings, and the proposed merger. For further details, please refer to the original announcement.