AI INFRASTRUCTURE

Auddia Highlights AI Infrastructure Potential with New GPU Pricing Data

Auddia Inc. draws attention to substantial AI infrastructure opportunities for LT350, leveraging new GPU pricing insights from SharonAI. This comes as the company plans to merge with Thramann Holdings.

Auddia Highlights AI Infrastructure Potential with New GPU Pricing Data
CoinSynaptic Desk
AI INFRASTRUCTURE · Correspondent
· PUBLISHED MAY 18, 2026 · UPDATED 12:03 ET · 2 MIN READ

Auddia Inc.'s recent analysis of market pricing data reveals a significant opportunity for its subsidiary, LT350, in AI infrastructure. This insight follows Auddia's planned merger with Thramann Holdings, which will create McCarthy Finney, trading under the ticker MCFN.

The understanding of this opportunity comes from a recent SEC filing by SharonAI Holdings Inc., which announced a $1.25 billion contract to deploy 8,200 NVIDIA B300 GPUs over the next 60 months. This results in an annual cost of approximately $30,488 per GPU. Auddia is using this data point to highlight the potential scale of LT350's distributed AI infrastructure model, especially in light of a previously disclosed internal analysis that estimates McCarthy Finney's value at $250 million, with LT350 accounting for half of that.

Jeff Thramann, Auddia's CEO and LT350's founder, stated that the disclosed market pricing clarifies the emerging opportunity within distributed AI infrastructure. While the company does not provide specific revenue forecasts, the available benchmarks enable investors to assess LT350's market potential. Thramann pointed out that LT350's approach is similar to SharonAI's but distinguishes itself by optimizing data sovereignty and reducing latency through strategically located proprietary datacenters near clients in sectors such as defense, healthcare, financial services, and government.

Illustrative visual for: Auddia Highlights AI Infrastructure Potential with New GPU Pricing Data

The architecture supporting LT350 includes a partnership with a REIT that controls 4 million square feet of suitable airspace for development. This design features 2,000-square-foot modules that can house 480 GPUs each, utilizing a 2:1 GPU-to-battery cartridge ratio. If fully realized, LT350's infrastructure could accommodate about 2,000 canopies, yielding a remarkable capacity of 960,000 GPUs. At the disclosed market rate, this capacity could represent an annualized market equivalent of $29 billion. However, Auddia notes that actual pricing, usage, and deployment will vary, applying significant discounts in its internal financial models.

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LT350's modular canopy architecture extends beyond its REIT partnership, targeting various sectors including healthcare facilities, educational institutions, retail environments, industrial sites, municipal properties, and multifamily housing developments. The design allows for deployment in existing parking lot spaces, negating the need for new land acquisitions. Key features include closed-loop liquid cooling systems with zero water consumption, battery-buffered operations for grid support, and circuit-level grid deployment that does not require transmission upgrades.

Thramann emphasized that LT350's REIT footprint is just one avenue for scalability, asserting that the company's intellectual property portfolio uniquely positions it in this emerging market. As the merger with Thramann Holdings moves toward completion, pending stockholder approval and other conditions, LT350's potential is starting to gain wider recognition.

For more insights about LT350 and its innovative infrastructure model, interested parties can visit the official website at www.LT350.com.

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