AlphaTON Capital Announces $82.5 Million Strategic GPU Infrastructure Investment to Power Privacy-First Decentralized AI after Successful Pilot Launch of Telegram’s Cocoon AI

Core Insights - AlphaTON Capital Corp has announced a strategic investment of approximately $68 million to acquire a high-performance compute cluster consisting of over 1,000 Nvidia B200 GPUs, enhancing its position as a compute provider for Telegram's Cocoon AI network [1][5][10] Transaction Structure and Financing - The acquisition will be financed through a combination of $30 million in equity capital from AlphaTON and $52.5 million in debt financing, resulting in a total project capitalization of approximately $82.5 million [6][2] - The debt facility will be fully amortized over 36 months, maintaining debt service coverage ratios above 1.0x throughout the amortization schedule [2] Strategic Infrastructure Partnership - AlphaTON has partnered with CUDO Compute, SNET Energy UK Ltd, and Vertical Data to deploy and operate the GPU cluster, ensuring technical excellence and sustainable power [3][4] Hardware Specifications and Capabilities - The compute cluster will feature cutting-edge AI inference and training capabilities, designed for 90% target utilization, generating revenue through dedicated workloads for Cocoon AI and external GPU rentals [5][7] Projected Financial Performance - The investment is projected to yield an internal rate of return (IRR) of 59.7% and a net present value (NPV) of $59.6 million, with conservative revenue projections accounting for 20% annual price compression in the first year [7][8] - The financial model indicates consistent EBITDA margins ranging from 64-73% over a five-year forecast horizon, with Year 1 gross profit margins of 32% [8] Successful Pilot Program - AlphaTON successfully launched a pilot program for Cocoon AI on November 25, 2025, validating the technology and paving the way for further deployment [8] Strategic Rationale - The company aims to democratize AI through its "AI For Good" initiative, focusing on ethical access, user data sovereignty, and environmental responsibility [9][10] - AlphaTON's investment supports the development of a decentralized compute layer that respects user privacy and content rights, contrasting with centralized models prevalent in the industry [11] Market Context and Competitive Positioning - The investment aligns with a growing demand for AI infrastructure, with McKinsey projecting a 3.5x increase in data center AI workload capacity between 2025 and 2030 [17] - The U.S. government's support for AI infrastructure, including a 10% equity stake in Intel, underscores the sector's importance [18]