AlphaTON Capital Deploys 504 NVIDIA B200 GPUs in Canada to Scale AI Revenue

AlphaTON Capital has deployed 504 NVIDIA B200 GPUs in Canada through a $30 million lease agreement to expand its AI infrastructure. The deployment is expected to generate at least $1.2 million in monthly revenue starting March 2026, with higher projections once the full GPU fleet is online. The move supports AlphaTON's strategic shift toward capital-efficient growth and meets growing demand for privacy-focused AI infrastructure.

AlphaTON Capital (NASDAQ: ATON) has executed a $30 million AI compute lease agreement to deploy 504 NVIDIA B200 GPUs in Canada, with delivery expected this week. The company anticipates generating a minimum of $1.2 million in monthly revenue starting in March 2026 through hourly rental of the B200 GPUs to AI developers, enterprises, and the Telegram ecosystem. This deployment is projected to achieve a 1.7x return multiple and a 40% internal rate of return (IRR).

The 504 B200 GPUs will be hosted in an energy-efficient, sustainable data center in Canada, leveraging the country's clean hydroelectric power, competitive energy costs, and favorable regulatory environment for AI infrastructure. This strategic move is part of a broader shift toward capital-efficient growth through operational leasing structures. The deployment supports the company's goal of scaling its AI infrastructure within the Telegram ecosystem, which has an addressable market of 1 billion monthly active users.

Why This Matters to AI Developers and Investors?

The deployment of 504 NVIDIA B200 GPUs in Canada is a significant step for AlphaTON, as it aims to generate scalable revenue by offering GPU rentals to AI developers and enterprises. The company projects a minimum of $1.2 million in monthly revenue starting in March 2026 and up to $3.11 million when the combined B200 and B300 GPU fleet of 1,080 chips is operational by April 2026. This move reflects the growing demand for privacy-preserving AI infrastructure and supports the Telegram ecosystem.

The strategic shift toward operational leasing structures allows AlphaTON to maintain balance sheet flexibility while expanding its AI infrastructure. This approach is designed to meet the increasing demand for sovereign, privacy-focused computing and supports a capital-efficient growth model.

What Risks or Limitations Should Investors Consider?

Despite the projected returns and strategic advantages, AlphaTON faces significant financial challenges, including $9 million in EBITDA losses and a market cap of $8.56 million. The company's success will depend on timely hardware deployment and sustained user growth, balancing its high-IRR model with financial fragility.

The deployment of 504 B200 GPUs is part of a larger $46 million investment in AI infrastructure, including 576 NVIDIA B300 GPUs for the Telegram AI superapp. While the company highlights a 1.7x return multiple and 40% IRR, these projections assume continued growth in demand for privacy-first AI networks.

How Does This Position Canada in the AI Infrastructure Landscape?

Canada's advantages in clean hydroelectric power, competitive energy costs, and a stable regulatory environment make it an ideal location for AI infrastructure. By leveraging these factors, AlphaTON aims to position Canada as a leader in confidential computing and privacy-centric AI infrastructure.

The deployment of GPUs in Canada supports the company's broader goal of providing institutional-grade exposure to the Telegram ecosystem. This aligns with the growing global interest in privacy-focused AI infrastructure and the increasing need for secure, sovereign computing resources.