AlphaTON Capital Corp announces a $46 million confidential compute infrastructure deal with Cocoon AI to expand its decentralized AI resources, adding 576 Nvidia B300 GPUs for a February delivery in a phased deployment.

The agreement plans for 576 Nvidia B300 GPUs, with full deployment by March, marking AlphaTON’s first large-scale confidential compute rollout within the TON ecosystem.

Prominent investors in The Open Platform or TON Foundation—Benchmark, CoinFund, Draper Associates, Sequoia Capital, Skybridge, and Pantera Capital—are cited as supporters of TON-related projects and the broader ecosystem.

Context suggests this move is part of a broader trend toward enterprise AI and privacy-preserving computing within decentralized infrastructures.

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Financial projections for the project show a 27% internal rate of return, about 282% total ROI, a net present value near $11.04 million, and an equity multiple around 3.82x, with roughly $53.6 million in cash returned over five years.

In parallel, regulatory and compliance considerations arise from AlphaTON’s Nasdaq listing, which adds credibility but also imposes securities and governance requirements on the blockchain infrastructure project.

The deal aligns AlphaTON with the TON ecosystem and Cocoon network, potentially influencing TON token economics through increased utility and privacy-centric compute services.

Industry context notes a shift toward decentralized AI services, with AlphaTON aiming to attract developers by offering privacy-focused, sovereign GPU clusters.

The GPUs will be hosted at AtNorth’s hydroelectric-powered data center in Sweden, with CUDO Compute and SNET Energy Ltd providing management, financed by a combination of debt and equity as part of a structure described in the disclosures.

The financing structure includes $4 million upfront, about $32.7 million in non-recourse debt, and $9.3 million in equity installments, with a two-month grace period before debt or interest payments begin after installation and revenue generation starts.

The deployment is projected to contribute to AlphaTON’s revenue growth within the TON ecosystem and is described as supporting a broader confidential compute hub as demand for private AI workloads increases.