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 to acquire a high-performance compute cluster of over 1,000 Nvidia B200 GPUs, valued at approximately $68 million, positioning itself as a key compute provider for Telegram's Cocoon AI network [1][6][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 facilitated by Vertical Data, resulting in a total project capitalization of approximately $82.5 million [2][6] - The debt facility will be fully amortized over 36 months, maintaining debt service coverage ratios above 1.0x throughout the schedule [2] Strategic Infrastructure Partnership - AlphaTON has partnered with CUDO Compute, a leading European NVIDIA Cloud Partner, to deploy and operate the GPU cluster, ensuring production-grade uptime and scalable governance [3] - SNET Energy UK Ltd will provide expertise in sustainable power data center development, while Vertical Data will assist with GPU cluster deployment and hardware sourcing [4] Hardware Specifications and Capabilities - The compute cluster will feature over 1,000 Nvidia B200-class GPUs, designed for AI inference and training, with a target utilization rate of 90% [5][12] - The investment is projected to yield an internal rate of return (IRR) of 59.7%, with a projected net present value (NPV) of $59.6 million and a return on investment (ROI) of 615% over five years [7] Revenue Streams and Financial Projections - The cluster will generate revenue through dedicated workloads for Cocoon AI and external GPU rentals via CUDO Compute's marketplace [7] - Revenue projections account for conservative assumptions, including a 20% annual price compression in the first year and a 10% in subsequent years, with consistent EBITDA margins ranging from 64-73% over a five-year forecast [8] Strategic Rationale - AlphaTON aims to democratize AI with an "AI For Good" initiative, focusing on ethical access, user data sovereignty, and environmental responsibility [9][10] - The company emphasizes the importance of decentralized AI services, contrasting its approach with the centralized models of major tech companies [11] Deployment Timeline and Commercial Milestones - The transaction is expected to close in Q4 2025, with hardware delivery and performance validation planned for Q1 2026, followed by full implementation of Cocoon AI workloads in Q2 2026 [13][15] Market Context and Competitive Positioning - The investment aligns with a significant growth forecast in AI infrastructure, with data center AI workload capacity projected to grow 3.5x from 2025 to 2030 [16] - The U.S. government's support for AI infrastructure, including a 10% equity stake in Intel, underscores the sector's importance [17]